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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

14 December 2015
Sean Bell
C. L. Zitnick
Kavita Bala
Ross B. Girshick
    ObjD
ArXivPDFHTML

Papers citing "Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks"

50 / 111 papers shown
Title
Deep Learning for Generic Object Detection: A Survey
Deep Learning for Generic Object Detection: A Survey
Li Liu
Wanli Ouyang
Xiaogang Wang
Paul Fieguth
Jie Chen
Xinwang Liu
M. Pietikäinen
ObjD
VLM
OOD
72
2,420
0
06 Sep 2018
On the Importance of Visual Context for Data Augmentation in Scene
  Understanding
On the Importance of Visual Context for Data Augmentation in Scene Understanding
Nikita Dvornik
Julien Mairal
Cordelia Schmid
29
84
0
06 Sep 2018
Deep Feature Pyramid Reconfiguration for Object Detection
Deep Feature Pyramid Reconfiguration for Object Detection
Tao Kong
F. Sun
Wen-bing Huang
Huaping Liu
ObjD
32
201
0
24 Aug 2018
Actor-Centric Relation Network
Actor-Centric Relation Network
Chen Sun
Abhinav Shrivastava
Carl Vondrick
Kevin Patrick Murphy
Rahul Sukthankar
Cordelia Schmid
36
220
0
28 Jul 2018
CBAM: Convolutional Block Attention Module
CBAM: Convolutional Block Attention Module
Sanghyun Woo
Jongchan Park
Joon-Young Lee
In So Kweon
94
16,142
0
17 Jul 2018
Object Detection with Deep Learning: A Review
Object Detection with Deep Learning: A Review
Zhong-Qiu Zhao
Peng Zheng
Shou-tao Xu
Xindong Wu
ObjD
42
3,951
0
15 Jul 2018
Auto-Context R-CNN
Auto-Context R-CNN
Bo Li
Tianfu Wu
Lun Zhang
Rufeng Chu
ObjD
24
8
0
08 Jul 2018
Efficient Traffic-Sign Recognition with Scale-aware CNN
Efficient Traffic-Sign Recognition with Scale-aware CNN
Yuchen Yang
Shuo Liu
Wei Ma
Qiuyuan Wang
Zheng Liu
22
15
0
31 May 2018
SNIPER: Efficient Multi-Scale Training
SNIPER: Efficient Multi-Scale Training
Bharat Singh
Mahyar Najibi
L. Davis
ObjD
25
481
0
23 May 2018
MDSSD: Multi-scale Deconvolutional Single Shot Detector for Small
  Objects
MDSSD: Multi-scale Deconvolutional Single Shot Detector for Small Objects
Lisha Cui
Rui Ma
Pei Lv
Xiaoheng Jiang
Zhimin Gao
Bing Zhou
Mingliang Xu
ObjD
24
128
0
18 May 2018
PCN: Part and Context Information for Pedestrian Detection with CNNs
PCN: Part and Context Information for Pedestrian Detection with CNNs
Shiguang Wang
Jian Cheng
Haijun Liu
Ming Tang
14
66
0
12 Apr 2018
Exploring Multi-Branch and High-Level Semantic Networks for Improving
  Pedestrian Detection
Exploring Multi-Branch and High-Level Semantic Networks for Improving Pedestrian Detection
Jiale Cao
Yanwei Pang
Xuelong Li
15
10
0
03 Apr 2018
SINet: A Scale-insensitive Convolutional Neural Network for Fast Vehicle
  Detection
SINet: A Scale-insensitive Convolutional Neural Network for Fast Vehicle Detection
Xiaowei Hu
Xuemiao Xu
Yongjie Xiao
Hao Chen
Shengfeng He
J. Qin
Pheng-Ann Heng
30
243
0
02 Apr 2018
Multi-scale Location-aware Kernel Representation for Object Detection
Multi-scale Location-aware Kernel Representation for Object Detection
Hao Wang
Qilong Wang
Mingqi Gao
P. Li
W. Zuo
ObjD
19
66
0
02 Apr 2018
Single-Shot Bidirectional Pyramid Networks for High-Quality Object
  Detection
Single-Shot Bidirectional Pyramid Networks for High-Quality Object Detection
Xiongwei Wu
Daoxin Zhang
Jianke Zhu
S. Hoi
ObjD
30
33
0
22 Mar 2018
Pseudo Mask Augmented Object Detection
Pseudo Mask Augmented Object Detection
Xiangyu Zhao
Shuang Liang
Yichen Wei
ObjD
16
42
0
15 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
5,639
0
05 Mar 2018
A General Pipeline for 3D Detection of Vehicles
A General Pipeline for 3D Detection of Vehicles
Xinxin Du
M. Ang
S. Karaman
Daniela Rus
3DPC
30
143
0
12 Feb 2018
Spatial As Deep: Spatial CNN for Traffic Scene Understanding
Spatial As Deep: Spatial CNN for Traffic Scene Understanding
Xingang Pan
Jianping Shi
Ping Luo
Xiaogang Wang
Xiaoou Tang
3DPC
27
976
0
17 Dec 2017
Deep Regionlets for Object Detection
Deep Regionlets for Object Detection
Hongyu Xu
Xutao Lv
Xiaoyu Wang
Zhou Ren
Navaneeth Bodla
Rama Chellappa
ObjD
14
66
0
06 Dec 2017
Single-Shot Object Detection with Enriched Semantics
Single-Shot Object Detection with Enriched Semantics
Zhishuai Zhang
Siyuan Qiao
Cihang Xie
Wei Shen
Bo Wang
Alan Yuille
ObjD
21
207
0
01 Dec 2017
Deep-Person: Learning Discriminative Deep Features for Person
  Re-Identification
Deep-Person: Learning Discriminative Deep Features for Person Re-Identification
X. Bai
Mingkun Yang
Tengteng Huang
Zhiyong Dou
Rui Yu
Yongchao Xu
32
246
0
29 Nov 2017
Feature Selective Networks for Object Detection
Feature Selective Networks for Object Detection
Y. Zhai
Jingjing Fu
Yan Lu
Houqiang Li
ObjD
35
18
0
24 Nov 2017
An Analysis of Scale Invariance in Object Detection - SNIP
An Analysis of Scale Invariance in Object Detection - SNIP
Bharat Singh
L. Davis
ObjD
32
735
0
22 Nov 2017
Dynamic Zoom-in Network for Fast Object Detection in Large Images
Dynamic Zoom-in Network for Fast Object Detection in Large Images
M. Gao
Ruichi Yu
Ang Li
Vlad I. Morariu
L. Davis
ObjD
35
129
0
14 Nov 2017
Cascade Region Proposal and Global Context for Deep Object Detection
Cascade Region Proposal and Global Context for Deep Object Detection
Qiaoyong Zhong
Chao Li
Yingying Zhang
Di Xie
Shicai Yang
Shiliang Pu
ObjD
23
55
0
30 Oct 2017
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
51
26,022
0
05 Sep 2017
A deep architecture for unified aesthetic prediction
A deep architecture for unified aesthetic prediction
Naila Murray
Albert Gordo
18
46
0
16 Aug 2017
Transitive Invariance for Self-supervised Visual Representation Learning
Transitive Invariance for Self-supervised Visual Representation Learning
Xinyu Wang
Kaiming He
Abhinav Gupta
OOD
SSL
19
179
0
09 Aug 2017
Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively
  Combining Object Detectors
Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors
Hong-Yu Zhou
Bin-Bin Gao
Jianxin Wu
ObjD
40
28
0
20 Jul 2017
MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis
  Network
MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network
Zizhao Zhang
Yuanpu Xie
Fuyong Xing
M. McGough
L. Yang
MedIm
13
301
0
08 Jul 2017
Scale-Aware Face Detection
Scale-Aware Face Detection
Jinwei Gu
Yu Liu
Hongwei Qin
Junjie Yan
Xiu Li
Xiaolin Hu
CVBM
21
105
0
29 Jun 2017
Detecting Small Signs from Large Images
Detecting Small Signs from Large Images
Zibo Meng
Xiaochuan Fan
Xin Chen
Min Chen
Yan Tong
ObjD
14
55
0
26 Jun 2017
Point Linking Network for Object Detection
Point Linking Network for Object Detection
Xinggang Wang
Kaibing Chen
Zilong Huang
Cong Yao
Wenyu Liu
ObjD
18
31
0
12 Jun 2017
Reformulating Level Sets as Deep Recurrent Neural Network Approach to
  Semantic Segmentation
Reformulating Level Sets as Deep Recurrent Neural Network Approach to Semantic Segmentation
Ngan Le
Kha Gia Quach
Khoa Luu
Marios Savvides
Chenchen Zhu
19
71
0
12 Apr 2017
Zoom Out-and-In Network with Recursive Training for Object Proposal
Zoom Out-and-In Network with Recursive Training for Object Proposal
Hongyang Li
Yu Liu
Wanli Ouyang
Xiaogang Wang
ObjD
33
23
0
19 Feb 2017
Attentional Network for Visual Object Detection
Attentional Network for Visual Object Detection
Kota Hara
Ming-Yu Liu
Oncel Tuzel
Amir-massoud Farahmand
ObjD
25
28
0
06 Feb 2017
YOLO9000: Better, Faster, Stronger
YOLO9000: Better, Faster, Stronger
Joseph Redmon
Ali Farhadi
VLM
ObjD
54
15,467
0
25 Dec 2016
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
22
320
0
20 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
Deep Cuboid Detection: Beyond 2D Bounding Boxes
Deep Cuboid Detection: Beyond 2D Bounding Boxes
Debidatta Dwibedi
Tomasz Malisiewicz
Vijay Badrinarayanan
Andrew Rabinovich
29
18
0
30 Nov 2016
PVANet: Lightweight Deep Neural Networks for Real-time Object Detection
PVANet: Lightweight Deep Neural Networks for Real-time Object Detection
Sanghoon Hong
Byungseok Roh
Kye-Hyeon Kim
Yeongjae Cheon
Minje Park
ObjD
13
82
0
23 Nov 2016
Image-based localization using LSTMs for structured feature correlation
Image-based localization using LSTMs for structured feature correlation
F. Walch
C. Hazirbas
Laura Leal-Taixé
Torsten Sattler
S. Hilsenbeck
Daniel Cremers
32
494
0
23 Nov 2016
Dense Captioning with Joint Inference and Visual Context
Dense Captioning with Joint Inference and Visual Context
L. Yang
K. Tang
Jianchao Yang
Li-Jia Li
VLM
30
169
0
21 Nov 2016
On The Stability of Video Detection and Tracking
On The Stability of Video Detection and Tracking
Hong Zhang
Naiyan Wang
36
20
0
20 Nov 2016
POI: Multiple Object Tracking with High Performance Detection and
  Appearance Feature
POI: Multiple Object Tracking with High Performance Detection and Appearance Feature
F. Yu
Wenbo Li
Quanquan Li
Yu Liu
Xiaohua Shi
Junjie Yan
VOT
22
435
0
19 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
32
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
The Role of Context Selection in Object Detection
The Role of Context Selection in Object Detection
Ruichi Yu
Xi Chen
Vlad I. Morariu
L. Davis
22
42
0
09 Sep 2016
Modeling Context in Referring Expressions
Modeling Context in Referring Expressions
Licheng Yu
Patrick Poirson
Shan Yang
Alexander C. Berg
Tamara L. Berg
28
1,227
0
31 Jul 2016
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