SemFormer: Semantic Guided Activation Transformer for Weakly Supervised Semantic Segmentation

26 October 2022

Papers citing "SemFormer: Semantic Guided Activation Transformer for Weakly Supervised Semantic Segmentation"

7 / 7 papers shown

Title
A Survey on Occupancy Perception for Autonomous Driving: The Information Fusion Perspective Huaiyuan Xu Junliang Chen Shiyu Meng Yi Wang Lap-Pui Chau 3DPC 41 16 0 08 May 2024
MECPformer: Multi-estimations Complementary Patch with CNN-Transformers for Weakly Supervised Semantic Segmentation Chunmeng Liu Guang-pu Li Yao Shen Ruiqi Wang ViT 27 7 0 19 Mar 2023
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,434 0 11 Nov 2021
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation Jungbeom Lee Jooyoung Choi J. Mok Sungroh Yoon SSeg 218 134 0 13 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 277 3,622 0 24 Feb 2021
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation Jiwoon Ahn Suha Kwak 232 740 0 28 Mar 2018
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition Zifeng Wu Chunhua Shen A. Hengel SSeg 258 1,491 0 30 Nov 2016