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ECCV2020 收录论文汇总(持续更新中)附打包下载

發布時間:2025/3/8 编程问答 69 豆豆
生活随笔 收集整理的這篇文章主要介紹了 ECCV2020 收录论文汇总(持续更新中)附打包下载 小編覺得挺不錯的,現在分享給大家,幫大家做個參考.

2020極市計算機視覺開發者榜單已于2020年7月20日開賽,8月31日截止提交,基于火焰識別、電動車頭盔識別、后廚老鼠識別、摔倒識別四個賽道,47000+數據集,30萬獎勵等你挑戰!點擊這里報名
極市平臺(微信公眾號ID:extrememart):專注計算機視覺前沿資訊和技術干貨。本文由極市平臺首發,轉載需獲授權。


ECCV 2020論文已公布,本屆 ECCV 共收到有效投稿5025篇,接收1361篇,其中Oral論文 104 篇,僅占 2%。

ECCV2020全部論文打包下載

ECCV2020論文開放下載后,極市第一時間進行了下載打包,由于官網下載的論文文件沒有用論文名進行命名,為了方便大家學習,我們整理了所有論文名稱索引:


ECCV2020全部論文下載

在極市平臺公眾號后臺回復ECCV2020,即可獲取論文打包下載鏈接


ECCV2020 Oral論文匯總

本文匯總截止今日所有Oral 論文,其中已經公布完整論文的有 47篇,按照研究方向進行了初步分類。

這些論文中有二十幾篇已經公布了代碼,也一并列出了。


比較有意思的是,本文列出的第一篇論文 Quaternion Equivariant Capsule Networks for 3D Point Clouds 曾被 ICLR 2020 拒稿(https://openreview.net/forum?id=B1xtd1HtPS),ECCV 2020 卻給了個Oral。

下載Oral論文請點擊下方鏈接:

https://pan.baidu.com/s/1Kd39idXZN4baUGnQrEo7hg 提取碼: iyiv

后續會持續更新。


** 3D點云( 3D Point Clouds)**

[1].Quaternion Equivariant Capsule Networks for 3D Point Clouds

作者 | Yongheng Zhao, Tolga Birdal, Jan Eric Lenssen, Emanuele Menegatti, Leonidas Guibas, Federico Tombari

單位 | Univ. Padova, TU Munich;斯坦福大學;多特蒙德工業大學等

論文 | https://arxiv.org/abs/1912.12098v2

點云補全和分類

[2].SoftpoolNet: Shape Descriptor for Point Cloud Completion and Classification

點云插值

[3].Intrinsic Point Cloud Interpolation via Dual Latent Space Navigation

作者 | Marie-Julie Rakotosaona, Maks Ovsjanikov

單位 | 巴黎綜合理工學院

論文 | https://arxiv.org/abs/2004.01661


** 神經架構搜索(NAS)**

[4].MoSaNAS: Multi-Objective Surrogate-Assisted Neural Architecture Search

[5].S2DNAS: Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search

作者 | Zhihang Yuan, Bingzhe Wu, Zheng Liang, Shiwan Zhao, Weichen Bi, Guangyu Sun

單位 | 北大;IBM Research

論文 | https://arxiv.org/abs/1911.07033


** 動作識別(Activity Recognition)**

[6].Empowering Relational Network by Self-Attention Augmented Conditional Random Fields for Group Activity Recognition


** 動作定位**

[7].Learning to Localize Actions from Moments


** 語義分割(Semantic Segmentation)**

[8].Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation

作者 | Yingda Xia, Yi Zhang, Fengze Liu, Wei Shen, Alan Yuille

單位 | 約翰斯霍普金斯大學

論文 | https://arxiv.org/abs/2003.08440

場景解析-scene parsing

[25].Semantic Flow for Fast and Accurate Scene Parsing

作者 | Xiangtai Li, Ansheng You, Zhen Zhu, Houlong Zhao, Maoke Yang, Kuiyuan Yang, Yunhai Tong

單位 | 北大;華中科技大學;DeepMotion

論文 | https://arxiv.org/abs/2002.10120

代碼 | https://github.com/donnyyou/torchcv

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弱監督語義分割

[26].Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation

作者 | Guolei Sun, Wenguan Wang, Jifeng Dai, Luc Van Gool

單位 | 蘇黎世聯邦理工學院;商湯

論文 | https://arxiv.org/abs/2007.01947

代碼 | https://github.com/GuoleiSun/MCIS_wsss(尚未)

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** 生成對抗網絡(GAN)**

[9].House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation

作者 | Nelson Nauata, Kai-Hung Chang, Chin-Yi Cheng, Greg Mori, Yasutaka Furukawa

單位 | 西蒙弗雷澤大學;Autodesk Research

論文 | https://arxiv.org/abs/2003.06988

代碼 | https://github.com/ennauata/housegan

[10].ForkGAN: Seeing into the Rainy Night

重寫深度生成模型

[11].Rewriting a Deep Generative Model

[12].Aligning and Projecting Images to Class-conditional Generative Networks

無監督草圖到照片的圖像合成

[13].Unsupervised Sketch-to-Photo Synthesis

作者 | Runtao Liu, Qian Yu, Stella Yu

單位 | 北大;北航/伯克利;伯克利/ICSI

論文 | https://arxiv.org/abs/1909.08313

代碼 | https://github.com/rt219/Unpaired-Sketch-to-Photo-Translation

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[14].TopoGAN: A Topology-Aware Generative Adversarial Network


** 運動捕捉**

[15].Motion Capture from Internet Videos

數據集 | https://github.com/zju3dv/iMoCap_dataset(即將)


** 人體姿態估計( Human Pose Estimation****)**

3D人體姿態估計

[16].End-to-End Estimation of Multi-Person 3D Poses from Multiple Cameras

作者 | Hanyue Tu ,Chunyu Wang ,Wenjun Zeng

單位 | 微軟亞洲研究院

論文 | https://www.microsoft.com/en-us/research/publication/end-to-end-estimation-of-multi-person-3d-poses-from-multiple-cameras/


** 目標檢測( Object Detection****)**

[17].End-to-End Object Detection with Transformers

作者 | Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, Sergey Zagoruyko

單位 | Facebook AI

論文 | https://arxiv.org/abs/2005.12872

代碼 | https://github.com/facebookresearch/detr

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[18].Suppress and Balance: A Simple Gated Network for Salient Object Detection

代碼 | https://github.com/Xiaoqi-Zhao-DLUT/GateNet-RGB-Saliency(即將)

[19].BorderDet: Border Feature for Dense Object Detection


** 三維重建( 3D Reconstruction****)**

[20].Ladybird: Deep Implicit Field Based 3D Reconstruction with Sampling and Symmetry

[21].Coherent full scene 3D reconstruction from a single RGB image

3D人體重建

[22].Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction


** 多目標跟蹤與分割( MOTS****)**

[23].Segment as Points for Efficient Online Multi-Object Tracking and Segmentation

作者 | Zhenbo Xu, Wei Zhang, Xiao Tan, Wei Yang, Huan Huang, Shilei Wen, Errui Ding, Liusheng Huang

單位 | 中國科學技術大學;百度

論文 | https://arxiv.org/abs/2007.01550

代碼 | https://github.com/detectRecog/PointTrack

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** 實例分割( Instance Segmentation****)**

[24].Conditional Convolutions for Instance Segmentation

作者 | Zhi Tian, Chunhua Shen, Hao Chen

單位 | 阿德萊德大學

論文 | https://arxiv.org/abs/2003.05664

代碼 | https://github.com/aim-uofa/AdelaiDet

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** 視頻目標分割**

[27].Learning What to Learn for Video Object Segmentation

作者 | Goutam Bhat, Felix J?remo Lawin, Martin Danelljan, Andreas Robinson, Michael Felsberg, Luc Van Gool, Radu Timofte

單位 | 蘇黎世聯邦理工學院;林雪平大學

論文 | https://arxiv.org/abs/2003.11540


** 數據集( Dataset ****)**

[28].Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset

作者 | Menglin Jia, Mengyun Shi, Mikhail Sirotenko, Yin Cui, Claire Cardie, Bharath Hariharan, Hartwig Adam, Serge Belongie

單位 | 康奈爾大學;Cornell Tech;谷歌;Hearst Magazines

論文 | https://arxiv.org/abs/2004.12276

數據集 | https://fashionpedia.github.io/home/index.html

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[29].Deep Fashion3D: A Dataset and Benchmark for 3D Garment Reconstruction from Single-view Images

作者 | Heming Zhu, Yu Cao, Hang Jin, Weikai Chen, Dong Du, Zhangye Wang, Shuguang Cui, Xiaoguang Han

單位 | 香港中文大學;深圳市大數據研究院;浙江大學;西安電子科技大學;騰訊-美國

論文 | https://arxiv.org/abs/2003.12753

主頁 | https://kv2000.github.io/2020/03/25/deepFashion3DRevisited/

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[30].SIZER: A Dataset and Model for Parsing 3D Clothing and Learning Size Sensitive 3D Clothing

[31].Mapillary Planet-Scale Depth Dataset

帶有閱讀理解功能的圖像字幕數據集

[32].TextCaps: a Dataset for Image Captioning with Reading Comprehension

作者 | Oleksii Sidorov, Ronghang Hu, Marcus Rohrbach, Amanpreet Singh

單位 | FAIR;伯克利

論文 | https://arxiv.org/abs/2003.12462

代碼 | https://github.com/facebookresearch/mmf/tree/project

/m4c/projects/M4C_Captioner

主頁 | https://textvqa.org/textcaps
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** 圖像字幕( Image Captioning **

[33].Compare and Reweight: Distinctive Image Captioning Using Similar Images Sets


** 人體運動預測( Human Motion Prediction ****)**

[34].Long-term Human Motion Prediction with Scene Context

作者 | Zhe Cao , Hang Gao , Karttikeya Mangalam , Qi-Zhi Cai , Minh Vo , and Jitendra Malik

單位 | 伯克利;南京大學;Facebook Reality Lab

論文 | https://people.eecs.berkeley.edu/~zhecao/hmp/preprint.pdf

主頁 | https://people.eecs.berkeley.edu/~zhecao/hmp/index.html

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** 場景識別**

[35].ReferIt3D: Neural Listeners for Fine-Grained 3D Object Identification in Real-World Scenes



** 視圖合成**

[36].NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

作者 | Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng

單位 | 伯克利;谷歌;加利福尼亞大學圣迭戈分校

論文 | https://arxiv.org/abs/2003.08934

代碼 | https://github.com/bmild/nerf

主頁 | https://www.matthewtancik.com/nerf
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6DoF視頻視圖合成

[37].MatryODShka: Real-time 6DoF Video View Synthesis using Multi-Sphere Images


** 深度估計(Depth Estimation)**

[38].Du^2Net: Learning Depth Estimation from Dual-Cameras and Dual-Pixels

作者 | Yinda Zhang, Neal Wadhwa, Sergio Orts-Escolano, Christian H?ne, Sean Fanello, Rahul Garg

單位 | 谷歌

論文 | https://arxiv.org/abs/2003.14299
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** 少樣本學習(Few-Shot learning)**

[39].Model-Agnostic Boundary-Adversarial Sampling for Test-Time Generalization in Few-Shot learning

[40].Prototype Rectification for Few-Shot Learning

作者 | Jinlu Liu, Liang Song, Yongqiang Qin

單位 | 創新奇智

論文 | https://arxiv.org/abs/1911.10713

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** 無監督學習(Unsupervised learning)**

[41].Content-Aware Unsupervised Deep Homography Estimation

作者 | Jirong Zhang, Chuan Wang, Shuaicheng Liu, Lanpeng Jia, Jue Wang, Ji Zhou

單位 | 電子科技大學

論文 | https://arxiv.org/abs/1909.05983

代碼 | https://github.com/JirongZhang/DeepHomography

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[42].Visual Memorability for Robotic Interestingness Prediction via Unsupervised Online Learning

作者 | Chen Wang, Wenshan Wang, Yuheng Qiu, Yafei Hu, Sebastian Scherer

單位 | 卡內基梅隆大學

論文 | https://arxiv.org/abs/2005.08829v1

視頻 | https://www.youtube.com/watch?v=Gy15Hx6qiGE

在線視頻:
https://v.qq.com/x/page/f3111e7f5ci.html?start=1


** 監督學習/自監督/半監督**

[43].Learning Feature Descriptors using Camera Pose Supervision

作者 | Qianqian Wang, Xiaowei Zhou, Bharath Hariharan, Noah Snavely

單位 | 康奈爾大學;Cornell Tech;浙江大學

論文 | https://arxiv.org/abs/2004.13324

主頁 | https://qianqianwang68.github.io/DescfromPose/

實時互動演示視頻:
https://v.qq.com/x/page/o3111tx6o1h.html

方法:
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結果:

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[44].Appearance Consensus Driven Self-Supervised Human Mesh Recovery

[45].TCGM: An Information-Theoretic Framework for Semi-Supervised Multi-Modality Learning


** 人物交互(Human-Object Interaction)**

[46].Forecasting Human-Object Interaction: Joint Prediction of Motor Attention and Actions in First Person Video

作者 | Miao Liu, Siyu Tang, Yin Li, James Rehg

單位 | 佐治亞理工學院;威斯康星大學麥迪遜分校等

論文 | https://arxiv.org/abs/1911.10967
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** 人員重識別(Person Re-Identification )**

[47].Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification

[48].Appearance-Preserving 3D Convolution for Video-based Person Re-identification


** 車輛重識別(Vehicle Re-Identification )**

[49].Orientation-aware Vehicle Re-identification with Semantics-guided Part Attention Network


** 視覺問答(VQA )**

[50].A Competence-aware Curriculum for Visual Concepts Learning via Question Answering

作者 | Qing Li, Siyuan Huang, Yining Hong, Song-Chun Zhu

單位 | 加州大學洛杉磯分校

論文 | https://arxiv.org/abs/2007.01499
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** 視頻壓縮(Video Compression )**

[51].Improving Deep Video Compression by Resolution-adaptive Flow Coding

[52].Content Adaptive and Error Propagation Aware Deep Video Compression

作者 | Guo Lu, Chunlei Cai, Xiaoyun Zhang, Li Chen, Wanli Ouyang, Dong Xu, Zhiyong Gao

單位 | 上海交通大學;悉尼大學;悉尼大學/商湯CV研究小組

論文 | https://arxiv.org/abs/2003.11282
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** 圖像恢復(Image Restoration)**

[53].Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation

作者 | Xingang Pan, Xiaohang Zhan, Bo Dai, Dahua Lin, Chen Change Loy, Ping Luo

單位 | 香港中文大學;南洋理工大學 ;香港大學

論文 | https://arxiv.org/abs/2003.13659

代碼 | https://github.com/XingangPan/deep-generative-prior

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** 圖像修復(inpainting)**

[54].Rethinking image inpainting via a mutual encoder-decoder with feature equalization

代碼 | https://github.com/KumapowerLIU/ECCV2020oralRethinking-Image-Inpainting-via-a-Mutual-Encoder-Decoder-with-Feature-Equalizations(尚未)


** 圖像檢索(Image Retrieval)**

[55].ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval

對抗學習 + 圖像檢索

[56].Targeted Attack for Deep Hashing based Retrieval

作者 | Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-tao Xia, En-hui Yang

單位 | 清華大學;鵬城實驗室;Vivo;滑鐵盧大學

論文 | https://arxiv.org/abs/2004.07955

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圖像檢索,深度局部特征聚合

[57].Learning and aggregating deep local descriptors for instance-level recognition

** 遙感與航空影像處理與識別**

[58].Synthesis and Completion of Facades from Satellite Imagery


** 計算成像**

成像技術

[59].Diffraction Line Imaging

光場重建

[60].Deep Spatial-angular Regularization for Compressive Light Field Reconstruction over Coded Apertures


** 光流估計**

[61].RAFT: Recurrent All-Pairs Field Transforms for Optical Flow

作者 | Zachary Teed, Jia Deng

單位 | 普林斯頓大學

論文 | https://arxiv.org/abs/2003.12039

代碼 | https://github.com/princeton-vl/RAFT

[62].What Matters in Unsupervised Optical Flow

作者 | Rico Jonschkowski, Austin Stone, Jonathan T. Barron, Ariel Gordon, Kurt Konolige, Anelia Angelova

單位 | 谷歌

論文 | https://arxiv.org/abs/2006.04902

代碼 | https://github.com/google-research/google-research/tree/master/uflow


** PnP問題求解**

[63].Solving the Blind Perspective-n-Point Problem End-To-End With Robust Differentiable Geometric Optimization

[64].A Consistently Fast and Globally Optimal Solution to the Perspective-n-Point Problem


** 網絡剪枝、量化、加速**

深度神經網絡的訓練后分段線性量化

[65].Post-Training Piecewise Linear Quantization for Deep Neural Networks

作者 | Jun Fang, Ali Shafiee, Hamzah Abdel-Aziz, David Thorsley, Georgios Georgiadis, Joseph Hassoun

單位 | 三星;微軟

論文 | https://arxiv.org/abs/2002.00104

網絡剪枝

[66].EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning

作者 | Bailin Li, Bowen Wu, Jiang Su, Guangrun Wang, Liang Lin

單位 | Dark Matter AI Inc;中山大學

論文 | https://arxiv.org/abs/2007.02491

代碼 | https://github.com/anonymous47823493/EagleEye
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網絡推斷加速,使用采樣-插值方法減少CNN空間信息冗余

[67].Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation

作者 | Zhenda Xie, Zheng Zhang, Xizhou Zhu, Gao Huang, Stephen Lin

單位 | 清華大學;微軟亞洲研究院;中國科學技術大學

論文 | https://arxiv.org/abs/2003.08866
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** 網絡優化、正則化**

優化技術

[68].Gradient Centralization: A New Optimization Technique for Deep Neural Networks

作者 | Hongwei Yong, Jianqiang Huang, Xiansheng Hua, Lei Zhang

單位 | 香港理工大學;阿里達摩院

論文 | https://arxiv.org/abs/2004.01461

代碼 | https://github.com/Yonghongwei/Gradient-Centralization

深度神經網絡的逐層條件分析

[69].Layer-wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs

作者 | Lei Huang, Jie Qin, Li Liu, Fan Zhu, Ling Shao

單位 | IIAI

論文 | https://arxiv.org/abs/2002.10801

代碼 | https://github.com/huangleiBuaa/LayerwiseCA
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[70].Regularization with Latent Space Virtual Adversarial Training


** Structure-from-Motion**

[71].DeepSFM: Structure From Motion Via Deep Bundle Adjustment

作者 | Xingkui Wei, Yinda Zhang, Zhuwen Li, Yanwei Fu, Xiangyang Xue

單位 | 復旦大學;谷歌;Nuro, Inc

論文 | https://arxiv.org/abs/1912.09697

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[72].Privacy Preserving Structure-from-Motion


** 局部特征提取**

局部特征提精

[73].Multi-View Optimization of Local Feature Geometry

作者 | Mihai Dusmanu, Johannes L. Sch?nberger, Marc Pollefeys

單位 | 蘇黎世聯邦理工學院;微軟

論文 | https://arxiv.org/abs/2003.08348

代碼 | https://github.com/mihaidusmanu/local-feature-refinement
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局部特征描述

[74].Online Invariance Selection for Local Feature Descriptors


** 人臉**

基于模型的密集人臉配準技術

[75].“Look Ma, no landmarks!” - Unsupervised, model-based dense face alignment

人臉老化

[76].Hierarchical Face Aging through Disentangled Latent Characteristics


** 自動駕駛**

人類活動預測

[77].Adversarial Generative Grammars for Human Activity Prediction

運動預測

[78].Learning Lane Graph Representations for Motion Forecasting

自動駕駛

車輛通信的聯合感知與預測

[79].V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction

作者主頁 | https://zswang666.github.io/#(未公布)

軌跡預測

[80].It is not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction

作者 | Karttikeya Mangalam, Harshayu Girase, Shreyas Agarwal, Kuan-Hui Lee, Ehsan Adeli, Jitendra Malik, Adrien Gaidon

單位 | 伯克利;豐田;斯坦福大學

論文 | https://arxiv.org/abs/2004.02025

主頁 | https://karttikeya.github.io/publication/htf/

代碼 | 即將

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** 立體匹配**

[81].Domain-invariant Stereo Matching Networks

作者 | Feihu Zhang, Xiaojuan Qi, Ruigang Yang, Victor Prisacariu, Benjamin Wah, Philip Torr

單位 | 牛津大學;百度;香港中文大學

論文 | https://arxiv.org/abs/1911.13287

代碼 | https://github.com/feihuzhang/DSMNet
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** 單RGB圖像的手部網格建模**

[82].DeepHandMesh: Weakly-supervised Deep Encoder-Decoder Framework for High-fidelity Hand Mesh Modeling from a Single RGB Image


** 流式圖像理解**

[83].Towards Streaming Image Understanding

作者 | Mengtian Li, Yu-Xiong Wang, Deva Ramanan

單位 | 卡內基梅隆;Argo AI

論文 | https://arxiv.org/abs/2005.10420

主頁 | https://www.cs.cmu.edu/~mengtial/proj/streaming/

https://v.qq.com/x/page/j31110iijxz.html

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** 度量保留的可變形3D形狀表示**

[84].LIMP: Learning Latent Shape Representations with Metric Preservation Priors

作者 | Luca Cosmo, Antonio Norelli, Oshri Halimi, Ron Kimmel, Emanuele Rodolà

單位 | 羅馬大學;University of Lugano;以色列理工學院

論文 | https://arxiv.org/abs/2003.12283


** 開放集識別**

[85].Hybrid Models for Open Set Recognition

作者 | Hongjie Zhang, Ang Li, Jie Guo, Yanwen Guo

單位 | 南京大學;DeepMind

論文 | https://arxiv.org/abs/2003.12506


** 3D表面擬合**

[86].DeepFit: 3D Surface Fitting by Neural Network Weighted Least Squares

作者 | Yizhak Ben-Shabat, Stephen Gould

單位 | 澳大利亞國立大學

論文 | https://arxiv.org/abs/2003.10826


** 6D物體姿態估計(6D Object Pose Estimation)**

[87].Self6D: Self-Supervised Monocular 6D Object Pose Estimation

作者 | Gu Wang, Fabian Manhardt, Jianzhun Shao, Xiangyang Ji, Nassir Navab, Federico Tombari

單位 | 清華大學;慕尼黑工業大學;谷歌

論文 | https://arxiv.org/abs/2004.06468
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** 圖像縮放 (Image Rescaling)**

[88].Invertible Image Rescaling

作者 | Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, Tie-Yan Liu

單位 | 北大;微軟亞洲研究院;多倫多大學

論文 | https://arxiv.org/abs/2005.05650

代碼 | https://github.com/pkuxmq/Invertible-Image-Rescaling(即將)

解讀 | https://zhuanlan.zhihu.com/p/150340687
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** 遠程生理信號監控**

遠程生理測量:通過交叉驗證特征解耦的方法

[89].Video-based Remote Physiological Measurement via Cross-verified Feature Disentangling

** 網絡結構設計**

自適應網絡寬度和分辨率學習

[90].MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution

作者 | Taojiannan Yang, Sijie Zhu, Chen Chen, Shen Yan, Mi Zhang, Andrew Willis

單位 | 北卡羅來納大學夏洛特分校;密歇根州立大學

論文 | https://arxiv.org/abs/1909.12978

代碼 | https://github.com/taoyang1122/MutualNet
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** 其它**

[91].In-Home Daily-Life Captioning Using Radio Signals

[92].Self-Challenging Improves Cross-Domain Generalization

作者 | Zeyi Huang, Haohan Wang, Eric P. Xing, Dong Huang

單位 | 卡內基梅隆大學

論文 | https://arxiv.org/abs/2007.02454
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多任務學習增強對抗魯棒性

[93].Multi-task Learning Increases Adversarial Robustness

[94].Efficient Model Fitting by Combining Lifted Optimization with Phong Surface Models

從單圖像學習立體信息

[95].Learning Stereo from Single Images

[96].Towards Automated Testing and Robustification by Semantic Adversarial Data Generation

持續學習-Continual Learning

[97].Greedy Sampler and Dumb Learner: A Surprisingly Effective Approach for Continual Learning

可解釋CNN

[98].Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters

跨域級聯深度翻譯

[99].Cross-Domain Cascaded Deep Translation

使神經網絡能夠抵抗各種圖像損壞的簡單方法

[100].A simple way to make neural networks robust against diverse image corruptions

使用自然語言描述紋理

[101].Describing Textures using Natural Language

具有推理能力的注意力模型

[102].AiR: Attention with Reasoning Capability

代碼 | https://github.com/szzexpoi/AiR

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[103].Crowdsampling the Plenoptic Function

[104].恢復視頻監控的可見光顏色

Learn to Recover Visible Color for Video Surveillance in a Day


文章來源: OpenCV中文網@微信公眾號

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