Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the
Best of Both Students

Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the Best of Both Students

6 September 2022

Lin Wang

Papers citing "Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the Best of Both Students"

5 / 5 papers shown

Title
Split Matching for Inductive Zero-shot Semantic Segmentation Jialei Chen Xu Zheng Dongyue Li Chong Yi Seigo Ito D. Paudel Luc Van Gool Hiroshi Murase Daisuke Deguchi VLM 50 0 0 08 May 2025
PRCL: Probabilistic Representation Contrastive Learning for Semi-Supervised Semantic Segmentation Haoyu Xie Changqi Wang Jian-jun Zhao Yang Liu Jun Dan Chong Fu Baigui Sun SSL 30 8 0 28 Feb 2024
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling Bowen Zhang Yidong Wang Wenxin Hou Hao Wu Jindong Wang Manabu Okumura T. Shinozaki AAML 213 848 0 15 Oct 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo Ling Shao ViT 263 3,538 0 24 Feb 2021
Deep High-Resolution Representation Learning for Visual Recognition Jingdong Wang Ke Sun Tianheng Cheng Borui Jiang Chaorui Deng ... Yadong Mu Mingkui Tan Xinggang Wang Wenyu Liu Bin Xiao 187 3,480 0 20 Aug 2019