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Learning Dense Convolutional Embeddings for Semantic Segmentation
v1v2v3 (latest)

Learning Dense Convolutional Embeddings for Semantic Segmentation

13 November 2015
Adam W. Harley
Konstantinos G. Derpanis
Iasonas Kokkinos
    SSeg
ArXiv (abs)PDFHTML

Papers citing "Learning Dense Convolutional Embeddings for Semantic Segmentation"

13 / 13 papers shown
Scaling Semantic Segmentation Beyond 1K Classes on a Single GPU
Scaling Semantic Segmentation Beyond 1K Classes on a Single GPUIEEE International Conference on Computer Vision (ICCV), 2020
Shipra Jain
D. Pani
Martin Danelljan
Luc Van Gool
VLM
320
12
0
14 Dec 2020
Learning and Segmenting Dense Voxel Embeddings for 3D Neuron
  Reconstruction
Learning and Segmenting Dense Voxel Embeddings for 3D Neuron ReconstructionIEEE Transactions on Medical Imaging (TMI), 2019
Kisuk Lee
R. Lu
Kyle L. Luther
H. S. Seung
3DV
288
29
0
21 Sep 2019
Consensus Feature Network for Scene Parsing
Consensus Feature Network for Scene ParsingIEEE transactions on multimedia (IEEE TMM), 2019
Tianyi Wu
Sheng Tang
Rui Zhang
G. Guo
Yongdong Zhang
132
6
0
29 Jul 2019
Object Discovery with a Copy-Pasting GAN
Object Discovery with a Copy-Pasting GAN
Relja Arandjelović
Andrew Zisserman
228
58
0
27 May 2019
Geometry-Aware Recurrent Neural Networks for Active Visual Recognition
Geometry-Aware Recurrent Neural Networks for Active Visual Recognition
Ricson Cheng
Ziyan Wang
Katerina Fragkiadaki
210
46
0
03 Nov 2018
Learning to Measure Change: Fully Convolutional Siamese Metric Networks
  for Scene Change Detection
Learning to Measure Change: Fully Convolutional Siamese Metric Networks for Scene Change Detection
Enqiang Guo
Xin-sha Fu
Jiawei Zhu
Min Deng
Yu Liu
Qing Zhu
Haifeng Li
SSL
249
94
0
22 Oct 2018
Learning Deep Representations for Semantic Image Parsing: a
  Comprehensive Overview
Learning Deep Representations for Semantic Image Parsing: a Comprehensive Overview
Lili Huang
Jiefeng Peng
Ruimao Zhang
Guanbin Li
Liang Lin
VLMSSLSSeg
144
13
0
10 Oct 2018
Semi-convolutional Operators for Instance Segmentation
Semi-convolutional Operators for Instance Segmentation
David Novotny
Samuel Albanie
Diane Larlus
Andrea Vedaldi
ISeg
228
88
0
27 Jul 2018
Segmentation-Aware Convolutional Networks Using Local Attention Masks
Segmentation-Aware Convolutional Networks Using Local Attention MasksIEEE International Conference on Computer Vision (ICCV), 2017
Adam W. Harley
Konstantinos G. Derpanis
Iasonas Kokkinos
SSeg
371
147
0
15 Aug 2017
An Error Detection and Correction Framework for Connectomics
An Error Detection and Correction Framework for ConnectomicsNeural Information Processing Systems (NeurIPS), 2017
J. Zung
Ignacio Tartavull
Kisuk Lee
H. S. Seung
3DV
177
48
0
08 Aug 2017
Associative Embedding: End-to-End Learning for Joint Detection and
  Grouping
Associative Embedding: End-to-End Learning for Joint Detection and Grouping
Alejandro Newell
Zhiao Huang
Gaowen Liu
369
972
0
16 Nov 2016
UberNet: Training a `Universal' Convolutional Neural Network for Low-,
  Mid-, and High-Level Vision using Diverse Datasets and Limited Memory
UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory
Iasonas Kokkinos
SSegSSL
354
711
0
07 Sep 2016
STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven
  Pooling
STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling
Yang He
Wei-Chen Chiu
Margret Keuper
Mario Fritz
259
11
0
08 Apr 2016
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