update：2021/03/03

• 公众号【计算机视觉联盟】后台回复 CVPR2021 下载最新论文
• CVPR 2021

Image-to-image Translation via Hierarchical Style Disentanglement Xinyang Li, Shengchuan Zhang, Jie Hu, Liujuan Cao, Xiaopeng Hong, Xudong Mao, Feiyue Huang, Yongjian Wu, Rongrong Ji https://arxiv.org/abs/2103.01456 https://github.com/imlixinyang/HiSD

FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolation https://arxiv.org/pdf/2012.08512.pdf https://tarun005.github.io/FLAVR/Code https://tarun005.github.io/FLAVR/

Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition Stephen Hausler, Sourav Garg, Ming Xu, Michael Milford, Tobias Fischer https://arxiv.org/abs/2103.01486

Depth from Camera Motion and Object Detection Brent A. Griffin, Jason J. Corso https://arxiv.org/abs/2103.01468

UP-DETR: Unsupervised Pre-training for Object Detection with Transformers https://arxiv.org/pdf/2011.09094.pdf

Multi-Stage Progressive Image Restoration https://arxiv.org/abs/2102.02808 https://github.com/swz30/MPRNet

Weakly Supervised Learning of Rigid 3D Scene Flow https://arxiv.org/pdf/2102.08945.pdf https://arxiv.org/pdf/2102.08945.pdf https://3dsceneflow.github.io/

Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning Mamshad Nayeem Rizve, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah https://arxiv.org/abs/2103.01315

Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels https://arxiv.org/abs/2101.05022 https://github.com/naver-ai/relabel_imagenet

Rethinking Channel Dimensions for Efficient Model Design https://arxiv.org/abs/2007.00992 https://github.com/clovaai/rexnet

Coarse-Fine Networks for Temporal Activity Detection in Videos Kumara Kahatapitiya, Michael S. Ryoo https://arxiv.org/abs/2103.01302

A Deep Emulator for Secondary Motion of 3D Characters Mianlun Zheng, Yi Zhou, Duygu Ceylan, Jernej Barbic https://arxiv.org/abs/2103.01261

Fair Attribute Classification through Latent Space De-biasing https://arxiv.org/abs/2012.01469 https://github.com/princetonvisualai/gan-debiasing https://princetonvisualai.github.io/gan-debiasing/

Auto-Exposure Fusion for Single-Image Shadow Removal Lan Fu, Changqing Zhou, Qing Guo, Felix Juefei-Xu, Hongkai Yu, Wei Feng, Yang Liu, Song Wang https://arxiv.org/abs/2103.01255

Less is More: CLIPBERT for Video-and-Language Learning via Sparse Sampling https://arxiv.org/pdf/2102.06183.pdf https://github.com/jayleicn/ClipBERT

MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing Zhengjue Wang, Hao Zhang, Ziheng Cheng, Bo Chen, Xin Yuan https://arxiv.org/abs/2103.01786

AttentiveNAS: Improving Neural Architecture Search via Attentive https://arxiv.org/pdf/2011.09011.pdf

Diffusion Probabilistic Models for 3D Point Cloud Generation Shitong Luo, Wei Hu https://arxiv.org/abs/2103.01458

There is More than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking with Sound by Distilling Multimodal Knowledge Francisco Rivera Valverde, Juana Valeria Hurtado, Abhinav Valada https://arxiv.org/abs/2103.01353 http://rl.uni-freiburg.de/research/multimodal-distill

Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation https://arxiv.org/abs/2008.00951 https://github.com/eladrich/pixel2style2pixel https://eladrich.github.io/pixel2style2pixel/

Hierarchical and Partially Observable Goal-driven Policy Learning with Goals Relational Graph Xin Ye, Yezhou Yang https://arxiv.org/abs/2103.01350

RepVGG: Making VGG-style ConvNets Great Again https://arxiv.org/abs/2101.03697 https://github.com/megvii-model/RepVGG

Transformer Interpretability Beyond Attention Visualization https://arxiv.org/pdf/2012.09838.pdf https://github.com/hila-chefer/Transformer-Explainability

PREDATOR: Registration of 3D Point Clouds with Low Overlap https://arxiv.org/pdf/2011.13005.pdf https://github.com/ShengyuH/OverlapPredator https://overlappredator.github.io/

Multiresolution Knowledge Distillation for Anomaly Detection https://arxiv.org/abs/2011.11108

Positive-Unlabeled Data Purification in the Wild for Object Detection

Data-Free Knowledge Distillation For Image Super-Resolution

Manifold Regularized Dynamic Network Pruning

Pre-Trained Image Processing Transformer https://arxiv.org/pdf/2012.00364.pdf

ReNAS: Relativistic Evaluation of Neural Architecture Search https://arxiv.org/pdf/1910.01523.pdf

AdderSR: Towards Energy Efficient Image Super-Resolution https://arxiv.org/pdf/2009.08891.pdf https://github.com/huawei-noah/AdderNet

Learning Student Networks in the Wild https://arxiv.org/pdf/1904.01186.pdf https://github.com/huawei-noah/DAFL https://www.zhihu.com/question/446299297

HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens https://arxiv.org/pdf/2005.14446.pdf

Probabilistic Embeddings for Cross-Modal Retrieval https://arxiv.org/abs/2101.05068

PLOP: Learning without Forgetting for Continual Semantic Segmentation https://arxiv.org/abs/2011.11390

Rainbow Memory: Continual Learning with a Memory of Diverse Samples

Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing

• 公众号【计算机视觉联盟】后台回复 CVPR2020 下载最新论文
• CVPR 2020

• CVPR 2019 Paper List
• CVPR 2019 Paper

• CVPR 2018 Paper List
• CVPR 2018 Paper

• CVPR 2017 Paper List
• CVPR 2017 Paper

1.GhostNet: More Features from Cheap Operations（超越Mobilenet v3的架构） 论文链接：https://arxiv.org/pdf/1911.11907arxiv.org 模型（在ARM CPU上的表现惊人）：https://github.com/iamhankai/ghostnetgithub.com

We beat other SOTA lightweight CNNs such as MobileNetV3 and FBNet.

2. AdderNet: Do We Really Need Multiplications in Deep Learning? （加法神经网络） 在大规模神经网络和数据集上取得了非常好的表现 论文链接：https://arxiv.org/pdf/1912.13200arxiv.org

3. Frequency Domain Compact 3D Convolutional Neural Networks （3dCNN压缩） 论文链接：https://arxiv.org/pdf/1909.04977arxiv.org 开源代码：https://github.com/huawei-noah/CARSgithub.com

4. A Semi-Supervised Assessor of Neural Architectures （神经网络精度预测器 NAS）

5. Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection （NAS 检测） backbone-neck-head一起搜索， 三位一体

6. CARS: Contunuous Evolution for Efficient Neural Architecture Search (连续进化的NAS) 高效，具备可微和进化的多重优势，且能输出帕累托前研

7. On Positive-Unlabeled Classification in GAN （PU+GAN）

8. Learning multiview 3D point cloud registration（3D点云） 论文链接：arxiv.org/abs/2001.05119

9. Multi-Modal Domain Adaptation for Fine-Grained Action Recognition（细粒度动作识别） 论文链接：arxiv.org/abs/2001.09691

10. Action Modifiers:Learning from Adverbs in Instructional Video 论文链接：arxiv.org/abs/1912.06617

11. PolarMask: Single Shot Instance Segmentation with Polar Representation（实例分割建模） 论文链接：arxiv.org/abs/1909.13226 论文解读：https://zhuanlan.zhihu.com/p/84890413 开源代码：https://github.com/xieenze/PolarMask

12. Rethinking Performance Estimation in Neural Architecture Search（NAS） 由于block wise neural architecture search中真正消耗时间的是performance estimation部分，本文针对 block wise的NAS找到了最优参数，速度更快，且相关度更高。

13. Distribution Aware Coordinate Representation for Human Pose Estimation（人体姿态估计） 论文链接：arxiv.org/abs/1910.06278 Github：https://github.com/ilovepose/DarkPose 作者团队主页：https://ilovepose.github.io/coco/

1. 视觉常识R-CNN，Visual Commonsense R-CNN

https://arxiv.org/abs/2002.12204

2. Out-of-distribution图像检测

https://arxiv.org/abs/2002.11297

3. 模糊视频帧插值，Blurry Video Frame Interpolation

https://arxiv.org/abs/2002.12259

4. 元迁移学习零样本超分

https://arxiv.org/abs/2002.12213

5. 3D室内场景理解

https://arxiv.org/abs/2002.12212

6.从有偏训练生成无偏场景图

https://arxiv.org/abs/2002.11949

7. 自动编码双瓶颈哈希

https://arxiv.org/abs/2002.11930

8. 一种用于人类轨迹预测的社会时空图卷积神经网络

https://arxiv.org/abs/2002.11927

9. 面向面向深度人脸识别的通用表示学习

https://arxiv.org/abs/2002.11841

10. 视觉表示泛化性

https://arxiv.org/abs/1912.03330

11. 减弱上下文偏差

https://arxiv.org/abs/2002.11812

12. 可迁移元技能的无监督强化学习

https://arxiv.org/abs/1911.07450

13. 快速准确时空视频超分

https://arxiv.org/abs/2002.11616

14. 对象关系图Teacher推荐学习的视频captioning

https://arxiv.org/abs/2002.11566

15. 弱监督物体定位路由再思考

https://arxiv.org/abs/2002.11359

16. 通过预培训学习视觉和语言导航的通用代理

https://arxiv.org/pdf/2002.10638.pdf

17. GhostNet轻量级神经网络

https://arxiv.org/pdf/1911.11907.pdf

18. AdderNet:在深度学习中，我们真的需要乘法吗?

https://arxiv.org/pdf/1912.13200.pdf

19. CARS:高效神经结构搜索的持续进化

https://arxiv.org/abs/1909.04977

20. 通过协作式的迭代级联微调来移除单图像中的反射

https://arxiv.org/abs/1911.06634

21. 深度神经网络的滤波嫁接

https://arxiv.org/pdf/2001.05868.pdf

22. PolarMask：将实例分割统一到FCN

https://arxiv.org/pdf/1909.13226.pdf

23. 半监督语义图像分割

https://arxiv.org/pdf/1811.07073.pdf

24. 通过选择性的特征再生来抵御通用攻击

https://arxiv.org/pdf/1906.03444.pdf

25. 实时的基于细粒度草图的图像检索

https://arxiv.org/abs/2002.10310

26. 用子问题询问VQA模型

https://arxiv.org/abs/1906.03444

27. 从2D范例中学习神经三维纹理空间

https://geometry.cs.ucl.ac.uk/projects/2020/neuraltexture/

28. NestedVAE:通过薄弱的监督来隔离共同因素

https://arxiv.org/abs/2002.11576

29. 实现多未来轨迹预测

https://arxiv.org/pdf/1912.06445.pdf

30. 使用序列注意力模型进行稳健的图像分类

https://arxiv.org/pdf/1912.02184