Foundation Model Assisted Weakly Supervised Semantic Segmentation

6 December 2023

Papers citing "Foundation Model Assisted Weakly Supervised Semantic Segmentation"

9 / 9 papers shown

Title
TeD-Loc: Text Distillation for Weakly Supervised Object Localization Shakeeb Murtaza Soufiane Belharbi M. Pedersoli Eric Granger WSOL VLM 89 1 0 22 Jan 2025
MedCLIP-SAMv2: Towards Universal Text-Driven Medical Image Segmentation Taha Koleilat Hojat Asgariandehkordi H. Rivaz Yiming Xiao MedIm VLM 36 6 0 28 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 22 1 0 14 Jul 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
An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation Problems Weixuan Sun Zheyuan Liu Yanhao Zhang Yiran Zhong Nick Barnes VLM 69 20 0 02 May 2023
Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast Ye Du Zehua Fu Qingjie Liu Yunhong Wang 80 128 0 14 Oct 2021
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 322 2,249 0 02 Sep 2021
Deep High-Resolution Representation Learning for Visual Recognition Jingdong Wang Ke Sun Tianheng Cheng Borui Jiang Chaorui Deng ... Yadong Mu Mingkui Tan Xinggang Wang Wenyu Liu Bin Xiao 190 3,480 0 20 Aug 2019
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation Jiwoon Ahn Suha Kwak 211 739 0 28 Mar 2018