Malleable 2.5D Convolution: Learning Receptive Fields along the Depth-axis for RGB-D Scene Parsing

18 July 2020

Papers citing "Malleable 2.5D Convolution: Learning Receptive Fields along the Depth-axis for RGB-D Scene Parsing"

8 / 8 papers shown

Title
Efficient Multi-Task Scene Analysis with RGB-D Transformers Söhnke Benedikt Fischedick Daniel Seichter Robin M. Schmidt Leonard Rabes H. Groß 25 9 0 08 Jun 2023
Pixel Difference Convolutional Network for RGB-D Semantic Segmentation Jun Yang Lizhi Bai Yaoru Sun Chunqi Tian Maoyu Mao Guorun Wang SSeg 25 16 0 23 Feb 2023
DCANet: Differential Convolution Attention Network for RGB-D Semantic Segmentation Lizhi Bai Jun Yang Chunqi Tian Yaoru Sun Maoyu Mao Yanjun Xu Weirong Xu 21 9 0 13 Oct 2022
A Closer Look at Invariances in Self-supervised Pre-training for 3D Vision Lanxiao Li M. Heizmann 3DPC 30 27 0 11 Jul 2022
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers Jiaming Zhang Huayao Liu Kailun Yang Xinxin Hu Ruiping Liu Rainer Stiefelhagen ViT 34 299 0 09 Mar 2022
Open-World Entity Segmentation Lu Qi Jason Kuen Yi Wang Jiuxiang Gu Hengshuang Zhao Zhe-nan Lin Philip Torr Jiaya Jia OCL SSeg VLM 40 80 0 29 Jul 2021
Review on Indoor RGB-D Semantic Segmentation with Deep Convolutional Neural Networks Sami Barchid José Mennesson Chaabane Djéraba 3DV SSeg 30 12 0 25 May 2021
Siamese Network for RGB-D Salient Object Detection and Beyond Keren Fu Deng-Ping Fan Ge-Peng Ji Qijun Zhao Jianbing Shen Ce Zhu 50 206 0 26 Aug 2020