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ParseNet: Looking Wider to See Better

ParseNet: Looking Wider to See Better

15 June 2015
Wei Liu
Andrew Rabinovich
Alexander C. Berg
    SSeg
ArXivPDFHTML

Papers citing "ParseNet: Looking Wider to See Better"

32 / 182 papers shown
Title
EdgeStereo: A Context Integrated Residual Pyramid Network for Stereo
  Matching
EdgeStereo: A Context Integrated Residual Pyramid Network for Stereo Matching
Xiao-yang Song
Xu Zhao
Hanwen Hu
Liangji Fang
21
193
0
14 Mar 2018
Path Aggregation Network for Instance Segmentation
Path Aggregation Network for Instance Segmentation
Shu Liu
Lu Qi
Haifang Qin
Jianping Shi
Jiaya Jia
ISeg
SSeg
61
5,643
0
05 Mar 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image
  Segmentation
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
34
12,911
0
07 Feb 2018
Deep Crisp Boundaries: From Boundaries to Higher-level Tasks
Deep Crisp Boundaries: From Boundaries to Higher-level Tasks
Yupei Wang
Xin Zhao
Yin Li
Kaiqi Huang
30
77
0
08 Jan 2018
Squeeze-SegNet: A new fast Deep Convolutional Neural Network for
  Semantic Segmentation
Squeeze-SegNet: A new fast Deep Convolutional Neural Network for Semantic Segmentation
Géraldin Nanfack
Azeddine Elhassouny
Rachid Oulad Haj Thami
SSeg
38
22
0
15 Nov 2017
DSOD: Learning Deeply Supervised Object Detectors from Scratch
DSOD: Learning Deeply Supervised Object Detectors from Scratch
Zhiqiang Shen
Zhuang Liu
Jianguo Li
Yu-Gang Jiang
Yurong Chen
Xiangyang Xue
ObjD
14
599
0
03 Aug 2017
Efficient Yet Deep Convolutional Neural Networks for Semantic
  Segmentation
Efficient Yet Deep Convolutional Neural Networks for Semantic Segmentation
Sharif Amit Kamran
A. Sabbir
SSeg
13
19
0
26 Jul 2017
Multi-Modal Trip Hazard Affordance Detection On Construction Sites
Multi-Modal Trip Hazard Affordance Detection On Construction Sites
Sean McMahon
Niko Sünderhauf
B. Upcroft
Michael Milford
33
17
0
21 Jun 2017
Enhancement of SSD by concatenating feature maps for object detection
Enhancement of SSD by concatenating feature maps for object detection
Jisoo Jeong
Hyojin Park
Nojun Kwak
ObjD
19
317
0
26 May 2017
A Review on Deep Learning Techniques Applied to Semantic Segmentation
A Review on Deep Learning Techniques Applied to Semantic Segmentation
Alberto Garcia-Garcia
Sergio Orts
Sergiu Oprea
Victor Villena-Martinez
Jose Garcia-Rodriguez
3DV
SSeg
34
1,267
0
22 Apr 2017
Accurate Single Stage Detector Using Recurrent Rolling Convolution
Accurate Single Stage Detector Using Recurrent Rolling Convolution
Jimmy S. J. Ren
Xiaohao Chen
Jianbo Liu
Wenxiu Sun
Jiahao Pang
Qiong Yan
Yu-Wing Tai
Li Xu
ObjD
23
280
0
19 Apr 2017
Loss Max-Pooling for Semantic Image Segmentation
Loss Max-Pooling for Semantic Image Segmentation
Samuel Rota Buló
Gerhard Neuhold
Peter Kontschieder
SSeg
28
116
0
10 Apr 2017
PixelNet: Representation of the pixels, by the pixels, and for the
  pixels
PixelNet: Representation of the pixels, by the pixels, and for the pixels
Aayush Bansal
Xinlei Chen
Bryan C. Russell
Abhinav Gupta
Deva Ramanan
SSeg
29
120
0
21 Feb 2017
Beyond Skip Connections: Top-Down Modulation for Object Detection
Beyond Skip Connections: Top-Down Modulation for Object Detection
Abhinav Shrivastava
Rahul Sukthankar
Jitendra Malik
Abhinav Gupta
ObjD
27
320
0
20 Dec 2016
Towards a Deep Learning Framework for Unconstrained Face Detection
Towards a Deep Learning Framework for Unconstrained Face Detection
Yutong Zheng
Chenchen Zhu
Khoa Luu
Chandrasekhar Bhagavatula
T. Hoang Ngan Le
Marios Savvides
CVBM
ObjD
18
27
0
16 Dec 2016
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
183
21,819
0
09 Dec 2016
Video Scene Parsing with Predictive Feature Learning
Video Scene Parsing with Predictive Feature Learning
Xiaojie Jin
Xuzhao Li
Huaxin Xiao
Xiaohui Shen
Zhe-nan Lin
...
Jian Dong
Luoqi Liu
Zequn Jie
Jiashi Feng
Shuicheng Yan
35
111
0
01 Dec 2016
Online Real-time Multiple Spatiotemporal Action Localisation and
  Prediction
Online Real-time Multiple Spatiotemporal Action Localisation and Prediction
Gurkirt Singh
Suman Saha
Michael Sapienza
Philip Torr
Fabio Cuzzolin
19
286
0
25 Nov 2016
Fully Convolutional Instance-aware Semantic Segmentation
Fully Convolutional Instance-aware Semantic Segmentation
Yi Li
Haozhi Qi
Jifeng Dai
Xiangyang Ji
Yichen Wei
ISeg
SSeg
38
1,001
0
23 Nov 2016
Joint Graph Decomposition and Node Labeling: Problem, Algorithms,
  Applications
Joint Graph Decomposition and Node Labeling: Problem, Algorithms, Applications
Evgeny Levinkov
J. Uhrig
Siyu Tang
Mohamed Omran
Eldar Insafutdinov
Alexander Kirillov
Carsten Rother
Thomas Brox
Bernt Schiele
Bjoern Andres
24
106
0
14 Nov 2016
Fused DNN: A deep neural network fusion approach to fast and robust
  pedestrian detection
Fused DNN: A deep neural network fusion approach to fast and robust pedestrian detection
Xianzhi Du
Mostafa El-Khamy
Jungwon Lee
L. Davis
22
274
0
11 Oct 2016
A Deep Spatial Contextual Long-term Recurrent Convolutional Network for
  Saliency Detection
A Deep Spatial Contextual Long-term Recurrent Convolutional Network for Saliency Detection
Nian Liu
Junwei Han
35
189
0
06 Oct 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
204
58
0
21 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
22
669
0
07 Sep 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
13
250
0
17 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
53
18,038
0
02 Jun 2016
Attentive Contexts for Object Detection
Attentive Contexts for Object Detection
Jianan Li
Yunchao Wei
Xiaodan Liang
Jian Dong
Tingfa Xu
Jiashi Feng
Shuicheng Yan
ObjD
17
221
0
24 Mar 2016
Learning Representations for Automatic Colorization
Learning Representations for Automatic Colorization
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
VLM
SSL
34
1,009
0
22 Mar 2016
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and
  Recurrent Neural Networks
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks
Sean Bell
C. L. Zitnick
Kavita Bala
Ross B. Girshick
ObjD
41
1,205
0
14 Dec 2015
Attention to Scale: Scale-aware Semantic Image Segmentation
Attention to Scale: Scale-aware Semantic Image Segmentation
Liang-Chieh Chen
Yi Yang
Jiang Wang
Wei Xu
Alan Yuille
SSeg
54
1,316
0
10 Nov 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
446
15,645
0
02 Nov 2015
DenseBox: Unifying Landmark Localization with End to End Object
  Detection
DenseBox: Unifying Landmark Localization with End to End Object Detection
Lichao Huang
Yi Yang
Yafeng Deng
Yinan Yu
ObjD
22
461
0
16 Sep 2015
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