DSNet: A Novel Way to Use Atrous Convolutions in Semantic Segmentation

6 June 2024

Papers citing "DSNet: A Novel Way to Use Atrous Convolutions in Semantic Segmentation"

21 / 21 papers shown

Title
SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation Meng-Hao Guo Chenggang Lu Qibin Hou Zheng Liu Ming-Ming Cheng Shiyong Hu SSeg ViT VLM 56 636 0 18 Sep 2022
SFNet: Faster and Accurate Semantic Segmentation via Semantic Flow Xiangtai Li Jiangning Zhang Yibo Yang Guangliang Cheng Kuiyuan Yang Yu Tong Dacheng Tao SSeg AI4TS 68 31 0 10 Jul 2022
PIDNet: A Real-time Semantic Segmentation Network Inspired by PID Controllers Jiacong Xu Zixiang Xiong S. Bhattacharyya 51 249 0 04 Jun 2022
TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation Wenqiang Zhang Zilong Huang Guozhong Luo Tao Chen Xinggang Wang Wenyu Liu Gang Yu Chunhua Shen ViT 76 205 0 12 Apr 2022
Rethinking Dilated Convolution for Real-time Semantic Segmentation Roland Gao SSeg 59 41 0 18 Nov 2021
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers Enze Xie Wenhai Wang Zhiding Yu Anima Anandkumar J. Álvarez Ping Luo ViT 229 4,990 0 31 May 2021
Are Convolutional Neural Networks or Transformers more like human vision? Shikhar Tuli Ishita Dasgupta Erin Grant Thomas Griffiths ViT FaML 52 185 0 15 May 2021
Learning Selective Mutual Attention and Contrast for RGB-D Saliency Detection Nian Liu Ni Zhang Ling Shao Junwei Han 67 97 0 12 Oct 2020
Attentional Feature Fusion Yimian Dai Fabian Gieseke Stefan Oehmcke Yiquan Wu Kobus Barnard 3DPC 50 635 0 29 Sep 2020
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 357 3,602 0 20 Aug 2019
Gated-SCNN: Gated Shape CNNs for Semantic Segmentation Towaki Takikawa David Acuna Varun Jampani Sanja Fidler 75 609 0 12 Jul 2019
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges Di Feng Christian Haase-Schuetz Lars Rosenbaum Heinz Hertlein Claudius Gläser Fabian Duffhauss W. Wiesbeck Klaus C. J. Dietmayer 3DPC 85 1,004 0 21 Feb 2019
Coarse-to-fine Semantic Segmentation from Image-level Labels Longlong Jing Yucheng Chen Yingli Tian SSeg VLM 50 116 0 28 Dec 2018
CCNet: Criss-Cross Attention for Semantic Segmentation Zilong Huang Xinggang Wang Yunchao Wei Lichao Huang Humphrey Shi Wenyu Liu Chang Huang VOS 178 2,540 0 28 Nov 2018
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 376 26,365 0 05 Sep 2017
Rethinking Atrous Convolution for Semantic Image Segmentation Liang-Chieh Chen George Papandreou Florian Schroff Hartwig Adam SSeg 189 8,455 0 17 Jun 2017
Pyramid Scene Parsing Network Hengshuang Zhao Jianping Shi Xiaojuan Qi Xiaogang Wang Jiaya Jia VOS SSeg 507 11,984 0 04 Dec 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 877 11,587 0 06 Apr 2016
Multi-Scale Context Aggregation by Dilated Convolutions Feng Yu V. Koltun SSeg 242 8,434 0 23 Nov 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 914 15,768 0 02 Nov 2015
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.3K 39,472 0 01 Sep 2014