Learning to Predict Context-adaptive Convolution for Semantic
Segmentation

Learning to Predict Context-adaptive Convolution for Semantic Segmentation

17 April 2020

Jimmy S. J. Ren

Yu Qiao

Papers citing "Learning to Predict Context-adaptive Convolution for Semantic Segmentation"

8 / 8 papers shown

Title
Vanishing-Point-Guided Video Semantic Segmentation of Driving Scenes Diandian Guo Deng-Ping Fan Tongyu Lu Christos Sakaridis Luc Van Gool VOS 16 2 0 27 Jan 2024
Cross-attention Spatio-temporal Context Transformer for Semantic Segmentation of Historical Maps Sidi Wu Yizi Chen Konrad Schindler L. Hurni 19 2 0 19 Oct 2023
Learning Local and Global Temporal Contexts for Video Semantic Segmentation Guolei Sun Yun Liu Henghui Ding Min Wu Luc Van Gool 25 32 0 07 Apr 2022
Context-LGM: Leveraging Object-Context Relation for Context-Aware Object Recognition Mingzhou Liu Xinwei Sun Fandong Zhang Yizhou Yu Yizhou Wang 10 0 0 08 Oct 2021
Large-scale Unsupervised Semantic Segmentation Shangqi Gao Zhong-Yu Li Ming-Hsuan Yang Mingg-Ming Cheng Junwei Han Philip H. S. Torr UQCV 25 84 0 06 Jun 2021
Learning Statistical Texture for Semantic Segmentation Lanyun Zhu Deyi Ji Shiping Zhu Weihao Gan Wei Wu Junjie Yan 13 123 0 06 Mar 2021
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition Zifeng Wu Chunhua Shen A. Hengel SSeg 245 1,489 0 30 Nov 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 432 15,595 0 02 Nov 2015