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Hypercolumns for Object Segmentation and Fine-grained Localization

Hypercolumns for Object Segmentation and Fine-grained Localization

21 November 2014
Bharath Hariharan
Pablo Arbeláez
Ross B. Girshick
Jitendra Malik
    SSeg
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Papers citing "Hypercolumns for Object Segmentation and Fine-grained Localization"

50 / 280 papers shown
Title
Gland Instance Segmentation Using Deep Multichannel Neural Networks
Gland Instance Segmentation Using Deep Multichannel Neural Networks
Yan Xu
Yang Li
Yipei Wang
Mingyuan Liu
Yubo Fan
M. Lai
E. Chang
MedIm
42
163
0
21 Nov 2016
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic
  Segmentation
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
Guosheng Lin
Anton Milan
Chunhua Shen
Ian Reid
AI4TS
SSeg
113
2,831
0
20 Nov 2016
Nazr-CNN: Fine-Grained Classification of UAV Imagery for Damage
  Assessment
Nazr-CNN: Fine-Grained Classification of UAV Imagery for Damage Assessment
Nazia Attari
Ferda Ofli
Mohammad Awad
J. Lucas
Sanjay Chawla
52
44
0
20 Nov 2016
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
Jia Deng
48
919
0
16 Nov 2016
One-Shot Video Object Segmentation
One-Shot Video Object Segmentation
Sergi Caelles
Kevis-Kokitsi Maninis
Jordi Pont-Tuset
Laura Leal-Taixé
Daniel Cremers
Luc Van Gool
VOS
31
909
0
16 Nov 2016
Deeply supervised salient object detection with short connections
Deeply supervised salient object detection with short connections
Qibin Hou
Ming-Ming Cheng
Xiao-Wei Hu
Ali Borji
Zhuowen Tu
Philip Torr
38
1,325
0
15 Nov 2016
Towards Lifelong Self-Supervision: A Deep Learning Direction for
  Robotics
Towards Lifelong Self-Supervision: A Deep Learning Direction for Robotics
J. M. Wong
27
11
0
01 Nov 2016
Fine-grained Recognition in the Noisy Wild: Sensitivity Analysis of
  Convolutional Neural Networks Approaches
Fine-grained Recognition in the Noisy Wild: Sensitivity Analysis of Convolutional Neural Networks Approaches
E. Rodner
Marcel Simon
Robert B. Fisher
Joachim Denzler
22
39
0
21 Oct 2016
PetroSurf3D - A Dataset for high-resolution 3D Surface Segmentation
PetroSurf3D - A Dataset for high-resolution 3D Surface Segmentation
Georg Poier
Markus Seidl
Matthias Zeppelzauer
Christian Reinbacher
M. Schaich
G. Bellandi
A. Marretta
Horst Bischof
3DV
3DPC
41
8
0
06 Oct 2016
Recognizing and Presenting the Storytelling Video Structure with Deep
  Multimodal Networks
Recognizing and Presenting the Storytelling Video Structure with Deep Multimodal Networks
Lorenzo Baraldi
C. Grana
Rita Cucchiara
21
48
0
05 Oct 2016
Deep Structured Features for Semantic Segmentation
Deep Structured Features for Semantic Segmentation
Michael Tschannen
Lukas Cavigelli
Fabian Mentzer
Thomas Wiatowski
Luca Benini
SSeg
25
14
0
26 Sep 2016
PixelNet: Towards a General Pixel-level Architecture
PixelNet: Towards a General Pixel-level Architecture
Aayush Bansal
Xinlei Chen
Bryan C. Russell
Abhinav Gupta
Deva Ramanan
SSeg
212
58
0
21 Sep 2016
Learning Semantic Part-Based Models from Google Images
Learning Semantic Part-Based Models from Google Images
Davide Modolo
V. Ferrari
23
13
0
11 Sep 2016
Bottom-up Instance Segmentation using Deep Higher-Order CRFs
Bottom-up Instance Segmentation using Deep Higher-Order CRFs
Anurag Arnab
Philip Torr
SSeg
23
52
0
08 Sep 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
SSeg
SSL
50
670
0
07 Sep 2016
Visual Saliency Detection Based on Multiscale Deep CNN Features
Visual Saliency Detection Based on Multiscale Deep CNN Features
Guanbin Li
Yizhou Yu
FAtt
47
337
0
07 Sep 2016
Deep Retinal Image Understanding
Deep Retinal Image Understanding
Kevis-Kokitsi Maninis
Jordi Pont-Tuset
Pablo Arbeláez
Luc Van Gool
33
507
0
05 Sep 2016
PVANET: Deep but Lightweight Neural Networks for Real-time Object
  Detection
PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection
Kye-Hyeon Kim
Sanghoon Hong
Byungseok Roh
Yeongjae Cheon
Minje Park
ObjD
VLM
22
207
0
29 Aug 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
351
36,437
0
25 Aug 2016
Dense semantic labeling of sub-decimeter resolution images with
  convolutional neural networks
Dense semantic labeling of sub-decimeter resolution images with convolutional neural networks
Michele Volpi
D. Tuia
SSeg
26
475
0
02 Aug 2016
Deep learning trends for focal brain pathology segmentation in MRI
Deep learning trends for focal brain pathology segmentation in MRI
Mohammad Havaei
N. Guizard
Hugo Larochelle
Pierre-Marc Jodoin
OOD
22
83
0
18 Jul 2016
Do semantic parts emerge in Convolutional Neural Networks?
Do semantic parts emerge in Convolutional Neural Networks?
Abel Gonzalez-Garcia
Davide Modolo
V. Ferrari
158
113
0
13 Jul 2016
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
Özgün Çiçek
Ahmed Abdulkadir
S. Lienkamp
Thomas Brox
Olaf Ronneberger
3DV
3DPC
SSeg
3DH
88
6,447
0
21 Jun 2016
CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face
  Detection
CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection
Chenchen Zhu
Yutong Zheng
Khoa Luu
Marios Savvides
ObjD
CVBM
22
250
0
17 Jun 2016
DeepProposals: Hunting Objects and Actions by Cascading Deep
  Convolutional Layers
DeepProposals: Hunting Objects and Actions by Cascading Deep Convolutional Layers
Amir Ghodrati
Ali Diba
M. Pedersoli
Tinne Tuytelaars
Luc Van Gool
ObjD
24
20
0
15 Jun 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
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
92
18,058
0
02 Jun 2016
cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey
cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey
Hirokatsu Kataoka
Yudai Miyashita
Tomoaki K. Yamabe
Soma Shirakabe
Shin-ichi Sato
...
Kaori Abe
Takaaki Imanari
Naomichi Kobayashi
Shinichiro Morita
Akio Nakamura
24
2
0
26 May 2016
FractalNet: Ultra-Deep Neural Networks without Residuals
FractalNet: Ultra-Deep Neural Networks without Residuals
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
45
933
0
24 May 2016
Bridging Category-level and Instance-level Semantic Image Segmentation
Bridging Category-level and Instance-level Semantic Image Segmentation
Zifeng Wu
Chunhua Shen
Anton Van Den Hengel
ISeg
SSeg
9
161
0
23 May 2016
Weakly Supervised Learning of Affordances
Weakly Supervised Learning of Affordances
A. Srikantha
Juergen Gall
25
20
0
10 May 2016
Laplacian Pyramid Reconstruction and Refinement for Semantic
  Segmentation
Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation
Golnaz Ghiasi
Charless C. Fowlkes
SSeg
26
49
0
08 May 2016
Artistic style transfer for videos
Artistic style transfer for videos
Manuel Ruder
Alexey Dosovitskiy
Thomas Brox
19
193
0
28 Apr 2016
Deep Saliency with Encoded Low level Distance Map and High Level
  Features
Deep Saliency with Encoded Low level Distance Map and High Level Features
Gayoung Lee
Yu-Wing Tai
Junmo Kim
FAtt
35
444
0
19 Apr 2016
Pixel-level Encoding and Depth Layering for Instance-level Semantic
  Labeling
Pixel-level Encoding and Depth Layering for Instance-level Semantic Labeling
J. Uhrig
Marius Cordts
Uwe Franke
Thomas Brox
SSeg
27
174
0
18 Apr 2016
Selective Convolutional Descriptor Aggregation for Fine-Grained Image
  Retrieval
Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval
Xiu-Shen Wei
Jian-Hao Luo
Jianxin Wu
Zhi-Hua Zhou
22
406
0
18 Apr 2016
Scene-driven Retrieval in Edited Videos using Aesthetic and Semantic
  Deep Features
Scene-driven Retrieval in Edited Videos using Aesthetic and Semantic Deep Features
Lorenzo Baraldi
C. Grana
Rita Cucchiara
14
9
0
09 Apr 2016
Infrared Colorization Using Deep Convolutional Neural Networks
Infrared Colorization Using Deep Convolutional Neural Networks
Matthias Limmer
Hendrik P. A. Lensch
34
141
0
08 Apr 2016
A MultiPath Network for Object Detection
A MultiPath Network for Object Detection
Sergey Zagoruyko
Adam Lerer
Nayeon Lee
Pedro H. O. Pinheiro
Sam Gross
Soumith Chintala
Piotr Dollár
ObjD
30
214
0
07 Apr 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
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
103
11,480
0
06 Apr 2016
Good Practice in CNN Feature Transfer
Good Practice in CNN Feature Transfer
Liang Zheng
Yali Zhao
Shengjin Wang
Jingdong Wang
Q. Tian
38
160
0
01 Apr 2016
Learning to Refine Object Segments
Learning to Refine Object Segments
Pedro H. O. Pinheiro
Nayeon Lee
R. Collobert
Piotr Dollàr
SSeg
44
854
0
29 Mar 2016
Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation
  with Deep Gaussian CRFs
Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs
Siddhartha Chandra
Iasonas Kokkinos
27
187
0
28 Mar 2016
DeLight-Net: Decomposing Reflectance Maps into Specular Materials and
  Natural Illumination
DeLight-Net: Decomposing Reflectance Maps into Specular Materials and Natural Illumination
Stamatios Georgoulis
Konstantinos Rematas
Tobias Ritschel
Mario Fritz
Luc Van Gool
Tinne Tuytelaars
34
24
0
27 Mar 2016
Simple Does It: Weakly Supervised Instance and Semantic Segmentation
Simple Does It: Weakly Supervised Instance and Semantic Segmentation
Anna Khoreva
Rodrigo Benenson
J. Hosang
Matthias Hein
Bernt Schiele
WSOD
VLM
ISeg
45
741
0
24 Mar 2016
Semantic Object Parsing with Graph LSTM
Semantic Object Parsing with Graph LSTM
Xiaodan Liang
Xiaohui Shen
Jiashi Feng
Liang Lin
Shuicheng Yan
38
354
0
23 Mar 2016
Learning Representations for Automatic Colorization
Learning Representations for Automatic Colorization
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
VLM
SSL
34
1,011
0
22 Mar 2016
Combining the Best of Convolutional Layers and Recurrent Layers: A
  Hybrid Network for Semantic Segmentation
Combining the Best of Convolutional Layers and Recurrent Layers: A Hybrid Network for Semantic Segmentation
Zhicheng Yan
Huatian Zhang
Yangqing Jia
Thomas Breuel
Yizhou Yu
SSeg
27
41
0
15 Mar 2016
Pushing the Limits of Deep CNNs for Pedestrian Detection
Pushing the Limits of Deep CNNs for Pedestrian Detection
Qichang Hu
Peng Wang
Chunhua Shen
Anton van den Hengel
Fatih Porikli
14
94
0
15 Mar 2016
Exploring Context with Deep Structured models for Semantic Segmentation
Exploring Context with Deep Structured models for Semantic Segmentation
Guosheng Lin
Chunhua Shen
Anton van den Hengel
Ian Reid
SSeg
104
125
0
10 Mar 2016
HyperFace: A Deep Multi-task Learning Framework for Face Detection,
  Landmark Localization, Pose Estimation, and Gender Recognition
HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition
Rajeev Ranjan
Vishal M. Patel
Rama Chellappa
CVBM
3DH
58
1,220
0
03 Mar 2016
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