Papers
SlowFast Networks for Video Recognition
Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik et al.
DynamoNet: Dynamic Action and Motion Network
Ali Diba, Vivek Sharma, Luc Van Gool et al.
Learning Discriminative Model Prediction for Tracking
Goutam Bhat, Martin Danelljan, Luc Van Gool et al.
GradNet: Gradient-Guided Network for Visual Object Tracking
Peixia Li, Boyu Chen, Wanli Ouyang et al.
Learning Spatial Awareness to Improve Crowd Counting
Zhi-Qi Cheng, Jun-Xiu Li, Qi Dai et al.
Bayesian Loss for Crowd Count Estimation With Point Supervision
Zhiheng Ma, Xing Wei, Xiaopeng Hong et al.
A Dual-Path Model With Adaptive Attention for Vehicle Re-Identification
Pirazh Khorramshahi, Amit Kumar, Neehar Peri et al.
Deep Reinforcement Active Learning for Human-in-the-Loop Person Re-Identification
Zimo Liu, Jingya Wang, Shaogang Gong et al.
Self-Similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-Identification
Yang Fu, Yunchao Wei, Guanshuo Wang et al.
Memory-Based Neighbourhood Embedding for Visual Recognition
Suichan Li, Dapeng Chen, Bin Liu et al.
Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection
Seunghyeon Kim, Jaehoon Choi, Taekyung Kim et al.
Transductive Learning for Zero-Shot Object Detection
Shafin Rahman, Salman Khan, Nick Barnes
Generative Modeling for Small-Data Object Detection
Lanlan Liu, Michael Muelly, Jia Deng et al.
Object-Aware Instance Labeling for Weakly Supervised Object Detection
Satoshi Kosugi, Toshihiko Yamasaki, Kiyoharu Aizawa
Scale-Aware Trident Networks for Object Detection
Yanghao Li, Yuntao Chen, Naiyan Wang et al.
Scaling Object Detection by Transferring Classification Weights
Jason Kuen, Federico Perazzi, Zhe Lin et al.
Towards Interpretable Object Detection by Unfolding Latent Structures
Tianfu Wu, Xi Song
CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features
Sangdoo Yun, Dongyoon Han, Seong Joon Oh et al.
PR Product: A Substitute for Inner Product in Neural Networks
Zhennan Wang, Wenbin Zou, Chen Xu
Local Aggregation for Unsupervised Learning of Visual Embeddings
Chengxu Zhuang, Alex Lin Zhai, Daniel Yamins
Anchor Loss: Modulating Loss Scale Based on Prediction Difficulty
Serim Ryou, Seong-Gyun Jeong, Pietro Perona
Confidence Regularized Self-Training
Yang Zou, Zhiding Yu, Xiaofeng Liu et al.
Variational Adversarial Active Learning
Samarth Sinha, Sayna Ebrahimi, Trevor Darrell
Progressive Reconstruction of Visual Structure for Image Inpainting
Jingyuan Li, Fengxiang He, Lefei Zhang et al.