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Object detection via a multi-region & semantic segmentation-aware CNN
  model
v1v2v3 (latest)

Object detection via a multi-region & semantic segmentation-aware CNN model

7 May 2015
Spyros Gidaris
N. Komodakis
    ObjDSSeg
ArXiv (abs)PDFHTML

Papers citing "Object detection via a multi-region & semantic segmentation-aware CNN model"

50 / 220 papers shown
Robust Face Detection via Learning Small Faces on Hard Images
Robust Face Detection via Learning Small Faces on Hard Images
Zhishuai Zhang
Wei Shen
Siyuan Qiao
Yan Wang
Bo Wang
Alan Yuille
ObjD3DHAAMLCVBM
101
39
0
28 Nov 2018
Deep Regionlets: Blended Representation and Deep Learning for Generic
  Object Detection
Deep Regionlets: Blended Representation and Deep Learning for Generic Object Detection
Hongyu Xu
Xutao Lv
Xiaoyu Wang
Zhou Ren
Navaneeth Bodla
Rama Chellappa
ObjD
240
32
0
28 Nov 2018
Learning Better Features for Face Detection with Feature Fusion and
  Segmentation Supervision
Learning Better Features for Face Detection with Feature Fusion and Segmentation Supervision
Wanxin Tian
Zixuan Wang
Haifeng Shen
Weihong Deng
Yiping Meng
Binghui Chen
Xiubao Zhang
Yuan Zhao
Xiehe Huang
CVBM
272
38
0
20 Nov 2018
Assessing four Neural Networks on Handwritten Digit Recognition Dataset
  (MNIST)
Assessing four Neural Networks on Handwritten Digit Recognition Dataset (MNIST)Journal of Computer Science Research (JCSR), 2018
Feiyang Chen
Nan Chen
Hanyang Mao
Hanlin Hu
143
45
0
16 Nov 2018
Sequential Context Encoding for Duplicate Removal
Sequential Context Encoding for Duplicate Removal
Lu Qi
Shu Liu
Jianping Shi
Jiaya Jia
165
24
0
20 Oct 2018
ScratchDet: Training Single-Shot Object Detectors from Scratch
ScratchDet: Training Single-Shot Object Detectors from Scratch
Rui Zhu
Shifeng Zhang
Xiaobo Wang
Longyin Wen
Hailin Shi
Liefeng Bo
Tao Mei
ObjD
317
130
0
19 Oct 2018
Bounding Box Regression with Uncertainty for Accurate Object Detection
Bounding Box Regression with Uncertainty for Accurate Object Detection
Yihui He
Chenchen Zhu
Jianren Wang
Marios Savvides
Xinming Zhang
ObjD
273
517
0
23 Sep 2018
Recent Advances in Object Detection in the Age of Deep Convolutional
  Neural Networks
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
Shivang Agarwal
Jean Ogier du Terrail
F. Jurie
ObjD
345
137
0
10 Sep 2018
Selective Refinement Network for High Performance Face Detection
Selective Refinement Network for High Performance Face Detection
Cheng Chi
Shifeng Zhang
Junliang Xing
Zhen Lei
Stan Z. Li
Xudong Zou
CVBM
158
161
0
07 Sep 2018
Deep Learning for Generic Object Detection: A Survey
Deep Learning for Generic Object Detection: A Survey
Tianpeng Liu
Wanli Ouyang
Xiaogang Wang
Paul Fieguth
Jie Chen
Xinwang Liu
M. Pietikäinen
ObjDVLMOOD
685
2,654
0
06 Sep 2018
MDCN: Multi-Scale, Deep Inception Convolutional Neural Networks for
  Efficient Object Detection
MDCN: Multi-Scale, Deep Inception Convolutional Neural Networks for Efficient Object Detection
Wenchi Ma
Yuanwei Wu
Zongbo Wang
Guanghui Wang
ObjD
139
25
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
196
215
0
24 Aug 2018
Acquisition of Localization Confidence for Accurate Object Detection
Acquisition of Localization Confidence for Accurate Object Detection
Borui Jiang
Ruixuan Luo
Jiayuan Mao
Tete Xiao
Yuning Jiang
ObjD
257
924
0
30 Jul 2018
Semantic Labeling in Very High Resolution Images via a Self-Cascaded
  Convolutional Neural Network
Semantic Labeling in Very High Resolution Images via a Self-Cascaded Convolutional Neural Network
Yongcheng Liu
Bin Fan
Lingfeng Wang
Jun Bai
Shiming Xiang
Chunhong Pan
142
261
0
30 Jul 2018
Toward Scale-Invariance and Position-Sensitive Region Proposal Networks
Toward Scale-Invariance and Position-Sensitive Region Proposal Networks
Hsueh-Fu Lu
Xiaofei Du
Ping-Lin Chang
ObjD
118
6
0
25 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
584
4,478
0
15 Jul 2018
Non-local RoIs for Instance Segmentation
Non-local RoIs for Instance Segmentation
Shou-Yao Roy Tseng
Hwann-Tzong Chen
Shao-Heng Tai
Tyng-Luh Liu
SSegISeg
63
0
0
14 Jul 2018
TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly
  Supervised Object Detection
TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection
Yunchao Wei
Zhiqiang Shen
Bowen Cheng
Humphrey Shi
Jinjun Xiong
Jiashi Feng
Thomas Huang
WSOD
194
159
0
13 Jul 2018
Auto-Context R-CNN
Auto-Context R-CNN
Bo Li
Tianfu Wu
Lun Zhang
Rufeng Chu
ObjD
118
8
0
08 Jul 2018
Weakly-Supervised Semantic Segmentation by Iteratively Mining Common
  Object Features
Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features
Xiang Wang
Shaodi You
Xi Li
Huimin Ma
204
315
0
12 Jun 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
95
17
0
31 May 2018
Unsupervised Learning using Pretrained CNN and Associative Memory Bank
Unsupervised Learning using Pretrained CNN and Associative Memory Bank
Qun Liu
S. Mukhopadhyay
142
39
0
02 May 2018
CactusNets: Layer Applicability as a Metric for Transfer Learning
CactusNets: Layer Applicability as a Metric for Transfer LearningIEEE International Joint Conference on Neural Network (IJCNN), 2018
Edward Collier
Robert DiBiano
S. Mukhopadhyay
124
19
0
20 Apr 2018
Reconstruction of Simulation-Based Physical Field by Reconstruction
  Neural Network Method
Reconstruction of Simulation-Based Physical Field by Reconstruction Neural Network Method
Yu Li
Hu Wang
Kangjia Mo
Tao Zeng
3DVAI4CE
228
7
0
19 Apr 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
156
66
0
12 Apr 2018
FPAN: Fine-grained and Progressive Attention Localization Network for
  Data Retrieval
FPAN: Fine-grained and Progressive Attention Localization Network for Data Retrieval
Sijia Chen
Bin Song
Jie Guo
Xiaojiang Du
Mohsen Guizani
134
3
0
05 Apr 2018
DOCK: Detecting Objects by transferring Common-sense Knowledge
DOCK: Detecting Objects by transferring Common-sense Knowledge
Krishna Kumar Singh
S. Divvala
Ali Farhadi
Yong Jae Lee
ObjD
120
31
0
03 Apr 2018
Hardware based Spatio-Temporal Neural Processing Backend for Imaging
  Sensors: Towards a Smart Camera
Hardware based Spatio-Temporal Neural Processing Backend for Imaging Sensors: Towards a Smart Camera
S. Ganguly
Yunfei Gu
Mircea R. Stan
Avik W. Ghosh
119
4
0
23 Mar 2018
Pseudo Mask Augmented Object Detection
Pseudo Mask Augmented Object Detection
Xiangyu Zhao
Shuang Liang
Yichen Wei
ObjD
197
47
0
15 Mar 2018
Domain Adaptive Faster R-CNN for Object Detection in the Wild
Domain Adaptive Faster R-CNN for Object Detection in the Wild
Yuhua Chen
Wen Li
Daniel Gehrig
Dengxin Dai
Luc Van Gool
OODObjD
454
1,452
0
08 Mar 2018
Path Aggregation Network for Instance Segmentation
Path Aggregation Network for Instance Segmentation
Shu Liu
Lu Qi
Haifang Qin
Jianping Shi
Jiaya Jia
ISegSSeg
695
7,030
0
05 Mar 2018
Mixed Supervised Object Detection with Robust Objectness Transfer
Mixed Supervised Object Detection with Robust Objectness TransferIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018
Yan-Ran Li
Junge Zhang
Kaiqi Huang
Jianguo Zhang
WSOD
268
39
0
27 Feb 2018
Object Detection with Mask-based Feature Encoding
Object Detection with Mask-based Feature Encoding
Xiaochuan Fan
Hao Guo
Kang Zheng
Wei Feng
Song Wang
ObjD
95
3
0
12 Feb 2018
MaskLab: Instance Segmentation by Refining Object Detection with
  Semantic and Direction Features
MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features
Liang-Chieh Chen
Alexander Hermans
George Papandreou
Florian Schroff
Peng Wang
Hartwig Adam
ISeg
240
365
0
13 Dec 2017
Data Distillation: Towards Omni-Supervised Learning
Data Distillation: Towards Omni-Supervised Learning
Ilija Radosavovic
Piotr Dollár
Ross B. Girshick
Georgia Gkioxari
Kaiming He
198
435
0
12 Dec 2017
Weaving Multi-scale Context for Single Shot Detector
Weaving Multi-scale Context for Single Shot Detector
Yunpeng Chen
Jianshu Li
Bin Zhou
Jiashi Feng
Shuicheng Yan
ObjD
127
15
0
08 Dec 2017
Cascade R-CNN: Delving into High Quality Object Detection
Cascade R-CNN: Delving into High Quality Object Detection
Zhaowei Cai
Nuno Vasconcelos
ObjD
515
5,724
0
03 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
242
215
0
01 Dec 2017
Deep Lesion Graphs in the Wild: Relationship Learning and Organization
  of Significant Radiology Image Findings in a Diverse Large-scale Lesion
  Database
Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-scale Lesion Database
Ke Yan
Xiaosong Wang
Le Lu
Ling Zhang
Adam P. Harrison
M. Bagheri
Ronald M. Summers
MedIm
209
158
0
28 Nov 2017
Feature Selective Networks for Object Detection
Feature Selective Networks for Object Detection
Y. Zhai
Jingjing Fu
Yan Lu
Houqiang Li
ObjD
165
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
276
789
0
22 Nov 2017
MegDet: A Large Mini-Batch Object Detector
MegDet: A Large Mini-Batch Object Detector
Chao Peng
Tete Xiao
Zeming Li
Yuning Jiang
Xiangyu Zhang
Kai Jia
Gang Yu
Jian Sun
ObjD
375
325
0
20 Nov 2017
Single-Shot Refinement Neural Network for Object Detection
Single-Shot Refinement Neural Network for Object Detection
Shifeng Zhang
Longyin Wen
Xiao Bian
Zhen Lei
Stan Z. Li
ObjD
240
1,351
0
18 Nov 2017
Can CNN Construct Highly Accurate Models Efficiently for
  High-Dimensional Problems in Complex Product Designs?
Can CNN Construct Highly Accurate Models Efficiently for High-Dimensional Problems in Complex Product Designs?
Yu Li
Hu Wang
Juanjuan Liu
183
1
0
15 Nov 2017
Feature Enhancement Network: A Refined Scene Text Detector
Feature Enhancement Network: A Refined Scene Text Detector
Sheng Zhang
Yuliang Liu
Lianwen Jin
Canjie Luo
ObjD
149
56
0
12 Nov 2017
Improving Object Localization with Fitness NMS and Bounded IoU Loss
Improving Object Localization with Fitness NMS and Bounded IoU Loss
Lachlan Tychsen-Smith
L. Petersson
263
188
0
01 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
170
55
0
30 Oct 2017
Detect to Track and Track to Detect
Detect to Track and Track to Detect
Christoph Feichtenhofer
A. Pinz
Andrew Zisserman
VOT
321
586
0
11 Oct 2017
Strengths and Weaknesses of Deep Learning Models for Face Recognition
  Against Image Degradations
Strengths and Weaknesses of Deep Learning Models for Face Recognition Against Image Degradations
Klemen Grm
Vitomir Štruc
Anais Artiges
Matthieu Caron
H. K. Ekenel
CVBM
155
202
0
04 Oct 2017
Mass Displacement Networks
Mass Displacement NetworksBritish Machine Vision Conference (BMVC), 2017
Natalia Neverova
Iasonas Kokkinos
139
4
0
12 Aug 2017
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