Mitigating Undisciplined Over-Smoothing in Transformer for Weakly
Supervised Semantic Segmentation

Mitigating Undisciplined Over-Smoothing in Transformer for Weakly Supervised Semantic Segmentation

4 May 2023

Dingwen Zhang

Papers citing "Mitigating Undisciplined Over-Smoothing in Transformer for Weakly Supervised Semantic Segmentation"

6 / 6 papers shown

Title
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
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation Jiwoon Ahn Suha Kwak 213 739 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
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014