Depth-Adapted CNNs for RGB-D Semantic Segmentation

8 June 2022

Papers citing "Depth-Adapted CNNs for RGB-D Semantic Segmentation"

21 / 21 papers shown

Title
A ConvNet for the 2020s Zhuang Liu Hanzi Mao Chaozheng Wu Christoph Feichtenhofer Trevor Darrell Saining Xie ViT 159 5,167 0 10 Jan 2022
On the Integration of Self-Attention and Convolution Xuran Pan Chunjiang Ge Rui Lu S. Song Guanfu Chen Zeyi Huang Gao Huang SSL 120 302 0 29 Nov 2021
ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation Jinming Cao Hanchao Leng Dani Lischinski Danny Cohen-Or Changhe Tu Yangyan Li SSeg MDE 3DV 95 135 0 24 Aug 2021
Deformable DETR: Deformable Transformers for End-to-End Object Detection Xizhou Zhu Weijie Su Lewei Lu Bin Li Xiaogang Wang Jifeng Dai ViT 216 5,073 0 08 Oct 2020
Depth-Adapted CNN for RGB-D cameras Zongwei Wu Guillaume Allibert C. Stolz C. Demonceaux MDE 81 20 0 21 Sep 2020
Malleable 2.5D Convolution: Learning Receptive Fields along the Depth-axis for RGB-D Scene Parsing Yajie Xing Jingbo Wang Gang Zeng MDE 103 42 0 18 Jul 2020
Bi-directional Cross-Modality Feature Propagation with Separation-and-Aggregation Gate for RGB-D Semantic Segmentation Xiaokang Chen Kwan-Yee Lin Jingbo Wang Wayne Wu Chao Qian Hongsheng Li Gang Zeng MDE 80 314 0 17 Jul 2020
3D Neighborhood Convolution: Learning Depth-Aware Features for RGB-D and RGB Semantic Segmentation Yunlu Chen Thomas Mensink Masashi Sugiyama 3DPC MDE 65 26 0 03 Oct 2019
ACNet: Attention Based Network to Exploit Complementary Features for RGBD Semantic Segmentation Xinxin Hu Kailun Yang Lei Fei Kaiwei Wang 3DPC 102 353 0 24 May 2019
KPConv: Flexible and Deformable Convolution for Point Clouds Hugues Thomas C. Qi Jean-Emmanuel Deschaud B. Marcotegui F. Goulette Leonidas Guibas 3DPC 154 2,535 0 18 Apr 2019
Relation-Shape Convolutional Neural Network for Point Cloud Analysis Yongcheng Liu Bin Fan Shiming Xiang Chunhong Pan 3DPC 96 893 0 16 Apr 2019
Corners for Layout: End-to-End Layout Recovery from 360 Images Clara Fernandez-Labrador José M. Fácil Alejandro Pérez-Yus C. Demonceaux Javier Civera Jose J. Guerrero 3DV 53 100 0 19 Mar 2019
Depth-aware CNN for RGB-D Segmentation Weiyue Wang Ulrich Neumann SSeg 132 256 0 19 Mar 2018
$PointCNN: Convolution On $\mathcal{X}$-Transformed Points$ PointCNN: Convolution On $\mathcal{X}$ -Transformed Points Yangyan Li Rui Bu Mingchao Sun Wei Wu Xinhan Di Baoquan Chen 3DPC 228 2,443 0 23 Jan 2018
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 481 14,309 0 02 Dec 2016
Semantic Scene Completion from a Single Depth Image Shuran Song Feng Yu Andy Zeng Angel X. Chang Manolis Savva Thomas Funkhouser 3DV 81 1,242 0 28 Nov 2016
Multi-View 3D Object Detection Network for Autonomous Driving Xiaozhi Chen Huimin Ma Ji Wan Bo Li Tian Xia 3DPC 176 2,772 0 23 Nov 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Patrick Murphy Alan Yuille SSeg 242 18,232 0 02 Jun 2016
Spatial Transformer Networks Max Jaderberg Karen Simonyan Andrew Zisserman Koray Kavukcuoglu 300 7,384 0 05 Jun 2015
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture David Eigen Rob Fergus VLM MDE 207 2,679 0 18 Nov 2014
Learning Rich Features from RGB-D Images for Object Detection and Segmentation Saurabh Gupta Ross B. Girshick Pablo Arbeláez Jitendra Malik ObjD 119 1,561 0 22 Jul 2014