LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation

14 June 2017

Papers citing "LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation"

28 / 28 papers shown

Title
Progressive Cross Attention Network for Flood Segmentation using Multispectral Satellite Imagery Vicky Feliren Fithrothul Khikmah Irfan Dwiki Bhaswara Bahrul I. Nasution Alex M. Lechner Muhamad Risqi U. Saputra 146 2 0 21 Jan 2025
Oil Spill Segmentation using Deep Encoder-Decoder models Abhishek Ramanathapura Satyanarayana Maruf A. Dhali 85 2 0 02 May 2023
FCN+: Global Receptive Convolution Makes FCN Great Again Zhongying Deng Xiaoyu Ren Jin Ye Junjun He Dongxu Yang 136 1 0 08 Mar 2023
Multimodal Deep Learning Cem Akkus Jiquan Ngiam Vladana Djakovic Steffen Jauch-Walser A. Khosla ... Jann Goschenhofer Honglak Lee A. Ng Daniel Schalk Matthias Aßenmacher 87 3,166 0 12 Jan 2023
The Effects of Skin Lesion Segmentation on the Performance of Dermatoscopic Image Classification Amirreza Mahbod P. Tschandl Georg Langs R. Ecker Isabella Ellinger 70 90 0 28 Aug 2020
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation Adam Paszke Abhishek Chaurasia Sangpil Kim Eugenio Culurciello SSeg 310 2,077 0 07 Jun 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 217 18,195 0 02 Jun 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 542 37,806 0 20 May 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 921 11,587 0 06 Apr 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi 350 14,223 0 23 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.9K 193,426 0 10 Dec 2015
SSD: Single Shot MultiBox Detector Wen Liu Dragomir Anguelov D. Erhan Christian Szegedy Scott E. Reed Cheng-Yang Fu Alexander C. Berg ObjD BDL 190 29,742 0 08 Dec 2015
Multi-Scale Context Aggregation by Dilated Convolutions Feng Yu V. Koltun SSeg 246 8,434 0 23 Nov 2015
ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation Francesco Visin Marco Ciccone Adriana Romero Kyle Kastner Kyunghyun Cho Yoshua Bengio Matteo Matteucci Aaron Courville VLM SSeg 60 251 0 22 Nov 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 946 15,768 0 02 Nov 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 231 8,821 0 01 Oct 2015
You Only Look Once: Unified, Real-Time Object Detection Joseph Redmon S. Divvala Ross B. Girshick Ali Farhadi ObjD 641 36,801 0 08 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 463 62,122 0 04 Jun 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling Vijay Badrinarayanan Ankur Handa R. Cipolla SSeg 221 799 0 27 May 2015
Learning Deconvolution Network for Semantic Segmentation Hyeonwoo Noh Seunghoon Hong Bohyung Han SSeg 204 4,173 0 17 May 2015
Conditional Random Fields as Recurrent Neural Networks Shuai Zheng Sadeep Jayasumana Bernardino Romera-Paredes Vibhav Vineet Zhizhong Su Dalong Du Chang Huang Philip Torr SSeg 206 2,534 0 11 Feb 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 417 43,234 0 11 Feb 2015
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Patrick Murphy Alan Yuille SSeg 148 4,888 0 22 Dec 2014
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture David Eigen Rob Fergus VLM MDE 185 2,678 0 18 Nov 2014
Efficient Object Localization Using Convolutional Networks Jonathan Tompson Ross Goroshin Arjun Jain Yann LeCun C. Bregler 3DH 153 1,350 0 16 Nov 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 399 43,589 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.3K 100,213 0 04 Sep 2014
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks P. Sermanet David Eigen Xiang Zhang Michaël Mathieu Rob Fergus Yann LeCun ObjD 149 5,004 0 21 Dec 2013