Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly
Supervised Semantic Segmentation

Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation

9 May 2023

Wei-lun Chao

Papers citing "Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation"

10 / 10 papers shown

Title
MedCLIP-SAMv2: Towards Universal Text-Driven Medical Image Segmentation Taha Koleilat Hojat Asgariandehkordi H. Rivaz Yiming Xiao MedIm VLM 41 6 0 28 Sep 2024
Towards Generalizable Scene Change Detection Jaewoo Kim Uehwan Kim 38 0 0 10 Sep 2024
WPS-SAM: Towards Weakly-Supervised Part Segmentation with Foundation Models Xin-Jian Wu Rui-Song Zhang Jie Qin Shijie Ma Cheng-Lin Liu VLM 27 1 0 14 Jul 2024
VRP-SAM: SAM with Visual Reference Prompt Yanpeng Sun Jiahui Chen Shan Zhang Xinyu Zhang Qiang Chen Gang Zhang Errui Ding Jingdong Wang Zechao Li 42 31 0 27 Feb 2024
Semantic Prompt Learning for Weakly-Supervised Semantic Segmentation Ci-Siang Lin Chien-Yi Wang Yu-Chiang Frank Wang Min-Hung Chen VLM 21 0 0 22 Jan 2024
Semantic-aware SAM for Point-Prompted Instance Segmentation Zhaoyang Wei Pengfei Chen Xuehui Yu Guorong Li Jianbin Jiao Zhenjun Han VLM 35 6 0 26 Dec 2023
A Comprehensive Survey on Segment Anything Model for Vision and Beyond Chunhui Zhang Li Liu Yawen Cui Guanjie Huang Weilin Lin Yiqian Yang Yuehong Hu VLM 32 89 0 14 May 2023
Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast Ye Du Zehua Fu Qingjie Liu Yunhong Wang 85 129 0 14 Oct 2021
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation Jiwoon Ahn Suha Kwak 218 740 0 28 Mar 2018
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 282 39,190 0 01 Sep 2014