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Hunting Attributes: Context Prototype-Aware Learning for Weakly
  Supervised Semantic Segmentation

Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic Segmentation

12 March 2024
Feilong Tang
Zhongxing Xu
Zhaojun Qu
Wei Feng
Xingjian Jiang
Zongyuan Ge
ArXivPDFHTML

Papers citing "Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic Segmentation"

6 / 6 papers shown
Title
PG-SAM: Prior-Guided SAM with Medical for Multi-organ Segmentation
PG-SAM: Prior-Guided SAM with Medical for Multi-organ Segmentation
Yiheng Zhong
Zihong Luo
Chengzhi Liu
Feilong Tang
Zelin Peng
Ming Hu
Y. Hu
Jionglong Su
Zongyuan Geand
Imran Razzak
MedIm
58
0
0
23 Mar 2025
Dual Adaptive Representation Alignment for Cross-domain Few-shot
  Learning
Dual Adaptive Representation Alignment for Cross-domain Few-shot Learning
Yifan Zhao
Tong Zhang
Jia Li
Yonghong Tian
44
19
0
18 Jun 2023
USAGE: A Unified Seed Area Generation Paradigm for Weakly Supervised
  Semantic Segmentation
USAGE: A Unified Seed Area Generation Paradigm for Weakly Supervised Semantic Segmentation
Zelin Peng
Guanchun Wang
Lingxi Xie
Dongsheng Jiang
Wei Shen
Qi Tian
32
19
0
14 Mar 2023
Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast
Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast
Ye Du
Zehua Fu
Qingjie Liu
Yunhong Wang
80
128
0
14 Oct 2021
Reducing Information Bottleneck for Weakly Supervised Semantic
  Segmentation
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation
Jungbeom Lee
Jooyoung Choi
J. Mok
Sungroh Yoon
SSeg
210
134
0
13 Oct 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference
  and training in neural networks
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks
Torsten Hoefler
Dan Alistarh
Tal Ben-Nun
Nikoli Dryden
Alexandra Peste
MQ
128
679
0
31 Jan 2021
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