Segment Anything is A Good Pseudo-label Generator for Weakly Supervised Semantic Segmentation

2 May 2023

Papers citing "Segment Anything is A Good Pseudo-label Generator 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 39 6 0 28 Sep 2024
FusionVision: A comprehensive approach of 3D object reconstruction and segmentation from RGB-D cameras using YOLO and fast segment anything Safouane El Ghazouali Youssef Mhirit Ali Oukhrid Umberto Michelucci H. Nouira 41 8 0 29 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
SAM-Assisted Remote Sensing Imagery Semantic Segmentation with Object and Boundary Constraints Xianping Ma Qianqian Wu Xingyu Zhao Xiaokang Zhang Man-On Pun Bo Huang 29 42 0 05 Dec 2023
Guided Prompting in SAM for Weakly Supervised Cell Segmentation in Histopathological Images Aayushi Tyagi Vaibhav Mishra AP Prathosh Mausam VLM 40 1 0 29 Nov 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
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation Rushi Jiao Yichi Zhang Leiting Ding Rong Cai Jicong Zhang 19 151 0 28 Jul 2022
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation Jiwoon Ahn Suha Kwak 213 740 0 28 Mar 2018
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition Zifeng Wu Chunhua Shen A. Hengel SSeg 245 1,489 0 30 Nov 2016