All-pairs Consistency Learning for Weakly Supervised Semantic
Segmentation

All-pairs Consistency Learning for Weakly Supervised Semantic Segmentation

8 August 2023

Zhen Qin

Papers citing "All-pairs Consistency Learning for Weakly Supervised Semantic Segmentation"

6 / 6 papers shown

Title
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
GETAM: Gradient-weighted Element-wise Transformer Attention Map for Weakly-supervised Semantic segmentation Weixuan Sun Jing Zhang Zheyuan Liu Yiran Zhong Nick Barnes ViT 58 14 0 06 Dec 2021
Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast Ye Du Zehua Fu Qingjie Liu Yunhong Wang 85 128 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
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 283 5,723 0 29 Apr 2021
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation Jiwoon Ahn Suha Kwak 213 739 0 28 Mar 2018