USAGE: A Unified Seed Area Generation Paradigm for Weakly Supervised Semantic Segmentation

14 March 2023

Papers citing "USAGE: A Unified Seed Area Generation Paradigm for Weakly Supervised Semantic Segmentation"

9 / 9 papers shown

Title
Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Wangyu Wu Xianglin Qiu Siqi Song Xiaowei Huang Fei Ma Jimin Xiao VLM 62 4 0 18 Dec 2024
Frozen CLIP: A Strong Backbone for Weakly Supervised Semantic Segmentation Bingfeng Zhang Siyue Yu Yunchao Wei Yao Zhao Jimin Xiao VLM 22 8 0 17 Jun 2024
Semantic Prompt Learning for Weakly-Supervised Semantic Segmentation Ci-Siang Lin Chien-Yi Wang Yu-Chiang Frank Wang Min-Hung Chen VLM 19 0 0 22 Jan 2024
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning Yidong Wang Hao Chen Qiang Heng Wenxin Hou Yue Fan ... Marios Savvides T. Shinozaki Bhiksha Raj Bernt Schiele Xing Xie 170 251 0 15 May 2022
Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation Yao Qin Chiyuan Zhang Ting Chen Balaji Lakshminarayanan Alex Beutel Xuezhi Wang ViT 39 41 0 15 Oct 2021
Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast Ye Du Zehua Fu Qingjie Liu Yunhong Wang 66 128 0 14 Oct 2021
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation Jungbeom Lee Jooyoung Choi J. Mok Sungroh Yoon SSeg 210 134 0 13 Oct 2021
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation Jiwoon Ahn Suha Kwak 211 739 0 28 Mar 2018
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition Zifeng Wu Chunhua Shen A. Hengel SSeg 243 1,476 0 30 Nov 2016