Tuning-free Universally-Supervised Semantic Segmentation

23 May 2024

Papers citing "Tuning-free Universally-Supervised Semantic Segmentation"

7 / 7 papers shown

Title
DuPL: Dual Student with Trustworthy Progressive Learning for Robust Weakly Supervised Semantic Segmentation Yuanchen Wu Xichen Ye Kequan Yang Jide Li Xiaoqiang Li 32 9 0 17 Mar 2024
Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic Segmentation Feilong Tang Zhongxing Xu Zhaojun Qu Wei Feng Xingjian Jiang Zongyuan Ge 40 7 0 12 Mar 2024
AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation Haonan Wang Qixiang Zhang Yi Li Xiaomeng Li 22 2 0 04 Mar 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 66 20 0 02 May 2023
GroupViT: Semantic Segmentation Emerges from Text Supervision Jiarui Xu Shalini De Mello Sifei Liu Wonmin Byeon Thomas Breuel Jan Kautz X. Wang ViT VLM 173 494 0 22 Feb 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 255 7,337 0 11 Nov 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