SASFormer: Transformers for Sparsely Annotated Semantic Segmentation

5 December 2022

Papers citing "SASFormer: Transformers for Sparsely Annotated Semantic Segmentation"

8 / 8 papers shown

Title
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition Mengqi Xue Qihan Huang Haofei Zhang Lechao Cheng Mingli Song Ming-hui Wu Mingli Song ViT 71 54 0 22 Aug 2022
Re-Attention Transformer for Weakly Supervised Object Localization Hui Su Yue Ye Zhiwei Chen Min-Gyoo Song Lechao Cheng WSOL 56 15 0 03 Aug 2022
Weakly Supervised Semantic Segmentation via Alternative Self-Dual Teaching Dingwen Zhang Wenyuan Zeng Guangyu Guo Chaowei Fang Lechao Cheng Ming-Ming Cheng Junwei Han 84 32 0 17 Dec 2021
Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation Hongjun Chen Jinbao Wang Hao Chen Xiantong Zhen Feng Zheng Rongrong Ji Ling Shao 25 29 0 30 Aug 2021
Token Shift Transformer for Video Classification Hao Zhang Y. Hao Chong-Wah Ngo ViT 56 117 0 05 Aug 2021
Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation Bingfeng Zhang Jimin Xiao Jianbo Jiao Yunchao Wei Yao-Min Zhao 45 95 0 08 Jun 2021
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers Enze Xie Wenhai Wang Zhiding Yu Anima Anandkumar J. Álvarez Ping Luo ViT 91 4,934 0 31 May 2021
Weakly Supervised Scene Parsing with Point-based Distance Metric Learning Rui Qian Yunchao Wei Humphrey Shi Jiachen Li Jiaying Liu Thomas Huang 3DV 53 73 0 06 Nov 2018