Rethinking Cross-Domain Pedestrian Detection: A Background-Focused
Distribution Alignment Framework for Instance-Free One-Stage Detectors

Rethinking Cross-Domain Pedestrian Detection: A Background-Focused Distribution Alignment Framework for Instance-Free One-Stage Detectors

15 September 2023

Tao Chen

Papers citing "Rethinking Cross-Domain Pedestrian Detection: A Background-Focused Distribution Alignment Framework for Instance-Free One-Stage Detectors"

7 / 7 papers shown

Title
Do computer vision foundation models learn the low-level characteristics of the human visual system? Yancheng Cai Fei Yin Dounia Hammou Rafal Mantiuk VLM Presented at ResearchTrend Connect \| VLM on 14 Mar 2025 140 1 0 13 Mar 2025
Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection Farzaneh Rezaeianaran Rakshith Shetty Rahaf Aljundi Daniel Olmeda Reino Shanshan Zhang Bernt Schiele OOD 54 77 0 04 Oct 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo Ling Shao ViT 274 3,622 0 24 Feb 2021
Box Re-Ranking: Unsupervised False Positive Suppression for Domain Adaptive Pedestrian Detection Weijie Chen Yilu Guo Shicai Yang Z. Li Zhenxin Ma Binbin Chen Long Zhao Di Xie Shiliang Pu Yueting Zhuang 21 4 0 01 Feb 2021
Exploring Categorical Regularization for Domain Adaptive Object Detection Chang-Dong Xu Xingjie Zhao Xin Jin Xiu-Shen Wei OOD ObjD 127 284 0 20 Mar 2020
Harmonizing Transferability and Discriminability for Adapting Object Detectors Chaoqi Chen Zebiao Zheng Xinghao Ding Yue Huang Qi Dou 40 270 0 13 Mar 2020
Unbiased Mean Teacher for Cross-domain Object Detection Jinhong Deng Wen Li Yuhua Chen Lixin Duan 77 286 0 02 Mar 2020