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Fast R-CNN
v1v2 (latest)

Fast R-CNN

30 April 2015
Ross B. Girshick
    ObjD
ArXiv (abs)PDFHTMLGithub (3402★)

Papers citing "Fast R-CNN"

50 / 5,432 papers shown
Image-based Vehicle Analysis using Deep Neural Network: A Systematic
  Study
Image-based Vehicle Analysis using Deep Neural Network: A Systematic Study
Yiren Zhou
Hossein Nejati
Thanh-Toan Do
Ngai-Man Cheung
L. Cheah
172
91
0
06 Jan 2016
Weakly-supervised Disentangling with Recurrent Transformations for 3D
  View Synthesis
Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis
Jimei Yang
Scott E. Reed
Ming-Hsuan Yang
Honglak Lee
VOT
219
317
0
05 Jan 2016
G-CNN: an Iterative Grid Based Object Detector
G-CNN: an Iterative Grid Based Object Detector
Mahyar Najibi
Mohammad Rastegari
L. Davis
ObjD
198
196
0
24 Dec 2015
Adaptive Object Detection Using Adjacency and Zoom Prediction
Adaptive Object Detection Using Adjacency and Zoom Prediction
Y. Lu
T. Javidi
Svetlana Lazebnik
ObjD
440
82
0
24 Dec 2015
Multi-Instance Visual-Semantic Embedding
Multi-Instance Visual-Semantic Embedding
Zhou Ren
Hailin Jin
Zhe Lin
Chen Fang
Alan Yuille
VLM
157
40
0
22 Dec 2015
Quantized Convolutional Neural Networks for Mobile Devices
Quantized Convolutional Neural Networks for Mobile Devices
Jiaxiang Wu
Cong Leng
Yuhang Wang
Qinghao Hu
Jian Cheng
MQ
506
1,233
0
21 Dec 2015
Instance-aware Semantic Segmentation via Multi-task Network Cascades
Instance-aware Semantic Segmentation via Multi-task Network Cascades
Jifeng Dai
Kaiming He
Jian Sun
SSeg
609
1,267
0
14 Dec 2015
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
325
1,259
0
14 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
4.1K
222,907
0
10 Dec 2015
Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views
Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views
Francisco Massa
Bryan C. Russell
Mathieu Aubry
3DVObjD
378
101
0
08 Dec 2015
SSD: Single Shot MultiBox Detector
SSD: Single Shot MultiBox Detector
Wen Liu
Dragomir Anguelov
D. Erhan
Christian Szegedy
Scott E. Reed
Cheng-Yang Fu
Alexander C. Berg
ObjDBDL
5.7K
34,137
0
08 Dec 2015
A Restricted Visual Turing Test for Deep Scene and Event Understanding
A Restricted Visual Turing Test for Deep Scene and Event Understanding
Qi
Tianfu Wu
M. Lee
Song-Chun Zhu
211
12
0
06 Dec 2015
The Multiverse Loss for Robust Transfer Learning
The Multiverse Loss for Robust Transfer Learning
Etai Littwin
Lior Wolf
OOD
231
24
0
29 Nov 2015
Iterative Instance Segmentation
Iterative Instance Segmentation
Ke Li
Bharath Hariharan
Jitendra Malik
ISeg
290
153
0
26 Nov 2015
Exploring Person Context and Local Scene Context for Object Detection
Exploring Person Context and Local Scene Context for Object Detection
Saurabh Gupta
Bharath Hariharan
Jitendra Malik
ObjD
164
25
0
25 Nov 2015
Higher Order Conditional Random Fields in Deep Neural Networks
Higher Order Conditional Random Fields in Deep Neural Networks
Anurag Arnab
Sadeep Jayasumana
Shuai Zheng
Juil Sock
SSeg
571
232
0
25 Nov 2015
Weakly Supervised Object Boundaries
Weakly Supervised Object Boundaries
Anna Khoreva
Rodrigo Benenson
Mohamed Omran
Matthias Hein
Bernt Schiele
215
46
0
24 Nov 2015
LocNet: Improving Localization Accuracy for Object Detection
LocNet: Improving Localization Accuracy for Object Detection
Spyros Gidaris
N. Komodakis
ObjD
350
149
0
24 Nov 2015
DenseCap: Fully Convolutional Localization Networks for Dense Captioning
DenseCap: Fully Convolutional Localization Networks for Dense Captioning
Justin Johnson
A. Karpathy
Li Fei-Fei
VLM
509
1,225
0
24 Nov 2015
DeePM: A Deep Part-Based Model for Object Detection and Semantic Part
  Localization
DeePM: A Deep Part-Based Model for Object Detection and Semantic Part Localization
Jun Zhu
Xianjie Chen
Alan Yuille
ObjD
270
23
0
23 Nov 2015
End-to-end Learning of Action Detection from Frame Glimpses in Videos
End-to-end Learning of Action Detection from Frame Glimpses in Videos
Serena Yeung
Olga Russakovsky
Greg Mori
Li Fei-Fei
EgoV
495
622
0
22 Nov 2015
DeepCut: Joint Subset Partition and Labeling for Multi Person Pose
  Estimation
DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation
L. Pishchulin
Eldar Insafutdinov
Siyu Tang
Bjoern Andres
Mykhaylo Andriluka
Peter V. Gehler
Bernt Schiele
400
1,018
0
20 Nov 2015
Learning to decompose for object detection and instance segmentation
Learning to decompose for object detection and instance segmentation
Eunbyung Park
Alexander C. Berg
279
25
0
19 Nov 2015
A convnet for non-maximum suppression
A convnet for non-maximum suppression
J. Hosang
Rodrigo Benenson
Bernt Schiele
310
77
0
19 Nov 2015
Why M Heads are Better than One: Training a Diverse Ensemble of Deep
  Networks
Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks
Stefan Lee
Senthil Purushwalkam
Michael Cogswell
David J. Crandall
Dhruv Batra
FedMLUQCV
230
334
0
19 Nov 2015
Learning Deep Structure-Preserving Image-Text Embeddings
Learning Deep Structure-Preserving Image-Text Embeddings
Liwei Wang
Yin Li
Svetlana Lazebnik
524
825
0
19 Nov 2015
Reducing Overfitting in Deep Networks by Decorrelating Representations
Reducing Overfitting in Deep Networks by Decorrelating Representations
Michael Cogswell
Faruk Ahmed
Ross B. Girshick
C. L. Zitnick
Dhruv Batra
436
450
0
19 Nov 2015
Particular object retrieval with integral max-pooling of CNN activations
Particular object retrieval with integral max-pooling of CNN activations
Giorgos Tolias
R. Sicre
Edouard Grave
407
1,013
0
18 Nov 2015
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
Ashesh Jain
Amir Zamir
Silvio Savarese
Ashutosh Saxena
GNN
575
1,163
0
17 Nov 2015
Proposal Flow
Proposal Flow
Bumsub Ham
Minsu Cho
Cordelia Schmid
Jean Ponce
332
152
0
16 Nov 2015
Learning Fine-grained Features via a CNN Tree for Large-scale
  Classification
Learning Fine-grained Features via a CNN Tree for Large-scale Classification
Zhenhua Wang
Xingxing Wang
G. Wang
239
52
0
14 Nov 2015
Reversible Recursive Instance-level Object Segmentation
Reversible Recursive Instance-level Object Segmentation
Xiaodan Liang
Yunchao Wei
Xiaohui Shen
Zequn Jie
Jiashi Feng
Liang Lin
Shuicheng Yan
SSegISeg
188
61
0
14 Nov 2015
Sequential Optimization for Efficient High-Quality Object Proposal
  Generation
Sequential Optimization for Efficient High-Quality Object Proposal Generation
Ziming Zhang
Yun-Hai Liu
Xi Chen
Y. Zhu
Ming-Ming Cheng
Venkatesh Saligrama
Juil Sock
284
39
0
14 Nov 2015
Unsupervised Learning of Edges
Unsupervised Learning of Edges
Yin Li
Manohar Paluri
James M. Rehg
Piotr Dollár
SSL
203
96
0
13 Nov 2015
Natural Language Object Retrieval
Natural Language Object Retrieval
Ronghang Hu
Huazhe Xu
Marcus Rohrbach
Jiashi Feng
Kate Saenko
Trevor Darrell
ObjD
406
570
0
13 Nov 2015
UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and
  Tracking
UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking
Longyin Wen
Dawei Du
Zhaowei Cai
Zhen Lei
Ming-Ching Chang
H. Qi
Jongwoo Lim
Ming-Hsuan Yang
Siwei Lyu
VOT
446
692
0
13 Nov 2015
ProNet: Learning to Propose Object-specific Boxes for Cascaded Neural
  Networks
ProNet: Learning to Propose Object-specific Boxes for Cascaded Neural Networks
Chen Sun
Manohar Paluri
R. Collobert
Ram Nevatia
Lubomir D. Bourdev
283
61
0
12 Nov 2015
Grounding of Textual Phrases in Images by Reconstruction
Grounding of Textual Phrases in Images by Reconstruction
Anna Rohrbach
Marcus Rohrbach
Ronghang Hu
Trevor Darrell
Bernt Schiele
419
515
0
12 Nov 2015
Weakly Supervised Deep Detection Networks
Weakly Supervised Deep Detection Networks
Hakan Bilen
Andrea Vedaldi
WSOD
379
832
0
09 Nov 2015
Explicit Knowledge-based Reasoning for Visual Question Answering
Explicit Knowledge-based Reasoning for Visual Question Answering
Peng Wang
Qi Wu
Chunhua Shen
Anton Van Den Hengel
A. Dick
259
287
0
09 Nov 2015
LOGO-Net: Large-scale Deep Logo Detection and Brand Recognition with
  Deep Region-based Convolutional Networks
LOGO-Net: Large-scale Deep Logo Detection and Brand Recognition with Deep Region-based Convolutional Networks
Guosheng Lin
Xiongwei Wu
Hantang Liu
Yue Wu
Huiqiong Wang
Hui Xue
Qiang Wu
ObjD
275
85
0
08 Nov 2015
Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images
Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images
Shuran Song
Jianxiong Xiao
3DPC
439
702
0
07 Nov 2015
Fingertip in the Eye: A cascaded CNN pipeline for the real-time
  fingertip detection in egocentric videos
Fingertip in the Eye: A cascaded CNN pipeline for the real-time fingertip detection in egocentric videos
Xiaorui Liu
Yichao Huang
Xin Zhang
Lianwen Jin
174
14
0
07 Nov 2015
Scale-aware Fast R-CNN for Pedestrian Detection
Scale-aware Fast R-CNN for Pedestrian Detection
Jianan Li
Xiaodan Liang
Shengmei Shen
Tingfa Xu
Jiashi Feng
Shuicheng Yan
ObjD
402
828
0
28 Oct 2015
DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object
  Detection
DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection
Xi Li
Liming Zhao
Lina Wei
Ming-Hsuan Yang
Leilei Gan
Yueting Zhuang
Haibin Ling
Jingdong Wang
312
509
0
19 Oct 2015
DeepProposal: Hunting Objects by Cascading Deep Convolutional Layers
DeepProposal: Hunting Objects by Cascading Deep Convolutional Layers
Amir Ghodrati
Ali Diba
M. Pedersoli
Tinne Tuytelaars
Luc Van Gool
ObjD
199
122
0
15 Oct 2015
DeepLogo: Hitting Logo Recognition with the Deep Neural Network Hammer
DeepLogo: Hitting Logo Recognition with the Deep Neural Network Hammer
F. Iandola
Anting Shen
Peter Gao
Kurt Keutzer
189
83
0
07 Oct 2015
Efficient Object Detection for High Resolution Images
Efficient Object Detection for High Resolution Images
Y. Lu
T. Javidi
ObjD
162
12
0
05 Oct 2015
Cross-convolutional-layer Pooling for Image Recognition
Cross-convolutional-layer Pooling for Image Recognition
Lingqiao Liu
Chunhua Shen
Anton Van Den Hengel
375
85
0
04 Oct 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
1.4K
9,794
0
01 Oct 2015
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