ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1504.08083
  4. Cited By
Fast R-CNN

Fast R-CNN

30 April 2015
Ross B. Girshick
    ObjD
ArXivPDFHTML

Papers citing "Fast R-CNN"

28 / 3,228 papers shown
Title
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
33
680
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
32
782
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
Fei Wu
Yueting Zhuang
Haibin Ling
Jingdong Wang
22
496
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
27
120
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
34
82
0
07 Oct 2015
Cross-convolutional-layer Pooling for Image Recognition
Cross-convolutional-layer Pooling for Image Recognition
Lingqiao Liu
Chunhua Shen
Anton Van Den Hengel
38
81
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
50
8,754
0
01 Oct 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
STC: A Simple to Complex Framework for Weakly-supervised Semantic
  Segmentation
STC: A Simple to Complex Framework for Weakly-supervised Semantic Segmentation
Yunchao Wei
Xiaodan Liang
Yunpeng Chen
Xiaohui Shen
Ming-Ming Cheng
Jiashi Feng
Yao-Min Zhao
Shuicheng Yan
42
552
0
10 Sep 2015
Proposal-free Network for Instance-level Object Segmentation
Proposal-free Network for Instance-level Object Segmentation
Xiaodan Liang
Yunchao Wei
Xiaohui Shen
Jianchao Yang
Liang Lin
Shuicheng Yan
SSeg
34
233
0
09 Sep 2015
Seeing Behind the Camera: Identifying the Authorship of a Photograph
Seeing Behind the Camera: Identifying the Authorship of a Photograph
Christopher Thomas
Adriana Kovashka
24
27
0
20 Aug 2015
What is Holding Back Convnets for Detection?
What is Holding Back Convnets for Detection?
Bojan Pepik
Rodrigo Benenson
Tobias Ritschel
Bernt Schiele
ObjD
24
64
0
12 Aug 2015
Indexing of CNN Features for Large Scale Image Search
Indexing of CNN Features for Large Scale Image Search
Ruoyu Liu
Yao-Min Zhao
Shikui Wei
Lixin Liao
33
39
0
02 Aug 2015
Joint Calibration for Semantic Segmentation
Joint Calibration for Semantic Segmentation
Holger Caesar
J. Uijlings
V. Ferrari
41
37
0
06 Jul 2015
R-CNN minus R
R-CNN minus R
Karel Lenc
Andrea Vedaldi
ObjD
34
94
0
23 Jun 2015
Place classification with a graph regularized deep neural network model
Place classification with a graph regularized deep neural network model
Yiyi Liao
S. Kodagoda
Yue Wang
Lei Shi
Yong Liu
30
26
0
12 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
189
61,624
0
04 Jun 2015
DeepBox: Learning Objectness with Convolutional Networks
DeepBox: Learning Objectness with Convolutional Networks
Weicheng Kuo
Bharath Hariharan
Jitendra Malik
ObjD
30
184
0
08 May 2015
Object detection via a multi-region & semantic segmentation-aware CNN
  model
Object detection via a multi-region & semantic segmentation-aware CNN model
Spyros Gidaris
N. Komodakis
ObjD
SSeg
33
735
0
07 May 2015
Contextual Action Recognition with R*CNN
Contextual Action Recognition with R*CNN
Georgia Gkioxari
Ross B. Girshick
Jitendra Malik
HAI
20
401
0
05 May 2015
Object Detection Networks on Convolutional Feature Maps
Object Detection Networks on Convolutional Feature Maps
Shaoqing Ren
Kaiming He
Ross B. Girshick
Xinming Zhang
Jian Sun
ObjD
27
408
0
23 Apr 2015
DeepTrack: Learning Discriminative Feature Representations Online for
  Robust Visual Tracking
DeepTrack: Learning Discriminative Feature Representations Online for Robust Visual Tracking
Hanxi Li
Yi Li
Fatih Porikli
OOD
47
268
0
28 Feb 2015
What makes for effective detection proposals?
What makes for effective detection proposals?
J. Hosang
Rodrigo Benenson
Piotr Dollár
Bernt Schiele
ObjD
57
733
0
17 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
29
18,474
0
06 Feb 2015
MatConvNet - Convolutional Neural Networks for MATLAB
MatConvNet - Convolutional Neural Networks for MATLAB
Andrea Vedaldi
Karel Lenc
189
2,946
0
15 Dec 2014
Scalable, High-Quality Object Detection
Scalable, High-Quality Object Detection
Christian Szegedy
Scott E. Reed
D. Erhan
Dragomir Anguelov
Sergey Ioffe
ObjD
38
369
0
03 Dec 2014
Multiple Object Tracking: A Literature Review
Multiple Object Tracking: A Literature Review
Wenhan Luo
Junliang Xing
Anton Milan
Xiaoqin Zhang
Wei Liu
Tae-Kyun Kim
VOT
29
797
0
26 Sep 2014
Object Detection Through Exploration With A Foveated Visual Field
Object Detection Through Exploration With A Foveated Visual Field
Emre Akbas
Miguel P. Eckstein
ObjD
40
69
0
04 Aug 2014
Previous
123...636465