Paper: https://arxiv.org/pdf/2101.07978
Code: https://github.com/uqzhichen/SDGZSL

• Paper: TRAR: Routing the Attention Spans in Transformer for Visual Question Answering
• Code: TRAR-VQA

6. 人脸(Face)/人脸伪造/反欺骗(Face Forgery/Face Anti-Spoofing) /[1] Exploring Temporal Coherence for More General Video Face Forgery Detection 。The link to the article is wrong. The correct link should be https://arxiv.org/abs/2108.06693

http://kaiminghe.com/

1. Exploring Randomly Wired Neural Networks for Image RecognitionSaining Xie, Alexander Kirillov, Ross Girshick, and Kaiming HeInternational Conference on Computer Vision (ICCV), 2019 (Oral)

2. SlowFast Networks for Video RecognitionChristoph Feichtenhofer, Haoqi Fan, Jitendra Malik, and Kaiming HeInternational Conference on Computer Vision (ICCV), 2019 (Oral)

3. TensorMask: A Foundation for Dense Object SegmentationXinlei Chen, Ross Girshick, Kaiming He, and Piotr DollárInternational Conference on Computer Vision (ICCV), 2019

4. Rethinking ImageNet Pre-trainingKaiming He, Ross Girshick, and Piotr DollárInternational Conference on Computer Vision (ICCV), 2019

Hi,
Official code of our paper "Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain" (https://arxiv.org/abs/2108.08487) has been released, please see https://github.com/iCGY96/APR

Hope you can add this link to your repo,
thanks.

1. MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation
   Lorenzo Bertoni, Sven Kreiss, Alexandre Alahi
   https://arxiv.org/abs/1906.06059

2. Online Unsupervised Learning of the 3D Kinematic Structure of Arbitrary Rigid Bodies
   Urbano Miguel Nunes and Yiannis Demiris

3. SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences
   J. Behley, M. Garbade, A. Milioto, J. Quenzel, S. Behnke, C. Stachniss, and J. Gall
   https://arxiv.org/abs/1904.01416

code

Hi, thanks for your collections. Please add our paper:

IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID
Yongxing Dai, Jun Liu, Yifan Sun, Zekun Tong, Chi Zhang, Ling-Yu Duan

Paper (Oral): https://arxiv.org/abs/2108.02413
Code: https://github.com/SikaStar/IDM

Equivariant Imaging: Learning Beyond the Range Space

ICCV'2021, Oral

paper: https://openaccess.thecvf.com/content/ICCV2021/papers/Chen_Equivariant_Imaging_Learning_Beyond_the_Range_Space_ICCV_2021_paper.pdf
code: https://github.com/edongdongchen/EI

(1) Parametric Contrastive Learning
Jiequan Cui, Zhisheng Zhong, Shu Liu, Bei Yu, Jiaya Jia
paper: https://arxiv.org/abs/2107.12028
code: https://github.com/jiequancui/Parametric-Contrastive-Learning
Image classification, contrastive learning, imbalanced learning

(2) Learnable Boundary Guided Adversarial Training
Jiequan Cui, Shu Liu, Liwei Wang, Jiaya Jia
paper: https://arxiv.org/abs/2011.11164
code: https://github.com/jiequancui/LBGAT
Adversarial defense, Image classification

Please add our ICCV 2021 paper in adversarial example: Admix: Enhancing the Transferability of Adversarial Attacks

paper link: https://arxiv.org/abs/2102.00436
code link: https://github.com/JHL-HUST/Admix

Thanks very much!