LCTR: On Awakening the Local Continuity of Transformer for Weakly
Supervised Object Localization

LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization

10 December 2021

Yabiao Wang

Ying Tai

Chengjie Wang

Liujuan Cao

Papers citing "LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization"

6 / 6 papers shown

Title
Pro2SAM: Mask Prompt to SAM with Grid Points for Weakly Supervised Object Localization Xi Yang Songsong Duan Nannan Wang Xinbo Gao WSOL 78 0 0 08 May 2025
Interpretability-Aware Vision Transformer Yao Qiang Chengyin Li Prashant Khanduri D. Zhu ViT 82 7 0 14 Sep 2023
Spatial-Aware Token for Weakly Supervised Object Localization Ping Wu Wei Zhai Yang Cao Jiebo Luo Zhengjun Zha WSOL 34 9 0 18 Mar 2023
SEFormer: Structure Embedding Transformer for 3D Object Detection Xiaoyu Feng Heming Du Yueqi Duan Yong-Jin Liu Hehe Fan 3DPC ViT 27 10 0 05 Sep 2022
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition Mengqi Xue Qihan Huang Haofei Zhang Lechao Cheng Jie Song Ming-hui Wu Mingli Song ViT 25 53 0 22 Aug 2022
Background-aware Classification Activation Map for Weakly Supervised Object Localization Lei Zhu Qi She Qian Chen Xiangxi Meng Mufeng Geng ... Bin Qiu Yunfei You Yibao Zhang Qiushi Ren Yanye Lu WSOL 50 18 0 29 Dec 2021