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Spatial Pyramid Pooling in Deep Convolutional Networks for Visual
  Recognition
v1v2v3v4 (latest)

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2014
18 June 2014
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
    ObjD
ArXiv (abs)PDFHTML

Papers citing "Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition"

14 / 1,614 papers shown
HD-CNN: Hierarchical Deep Convolutional Neural Network for Large Scale
  Visual Recognition
HD-CNN: Hierarchical Deep Convolutional Neural Network for Large Scale Visual Recognition
Zhicheng Yan
Hao Zhang
Robinson Piramuthu
Vignesh Jagadeesh
D. DeCoste
Wei Di
Yizhou Yu
354
64
0
03 Oct 2014
Do More Dropouts in Pool5 Feature Maps for Better Object Detection
Do More Dropouts in Pool5 Feature Maps for Better Object Detection
Zhiqiang Shen
Xiangyang Xue
143
5
0
24 Sep 2014
Fast Low-rank Representation based Spatial Pyramid Matching for Image
  Classification
Fast Low-rank Representation based Spatial Pyramid Matching for Image ClassificationKnowledge-Based Systems (KBS), 2014
Xi Peng
Rui Yan
Bo Zhao
Huajin Tang
Zhang Yi
188
25
0
22 Sep 2014
Deformable Part Models are Convolutional Neural Networks
Deformable Part Models are Convolutional Neural NetworksComputer Vision and Pattern Recognition (CVPR), 2014
Ross B. Girshick
F. Iandola
Trevor Darrell
Jitendra Malik
176
465
0
18 Sep 2014
DeepID-Net: multi-stage and deformable deep convolutional neural
  networks for object detection
DeepID-Net: multi-stage and deformable deep convolutional neural networks for object detection
Wanli Ouyang
Ping Luo
Xingyu Zeng
Shi Qiu
Yonglong Tian
...
Zhenyao Zhu
Ruohui Wang
Chen Change Loy
Xiaogang Wang
Xiaoou Tang
ObjD
213
163
0
11 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image RecognitionInternational Conference on Learning Representations (ICLR), 2014
Karen Simonyan
Andrew Zisserman
FAttMDE
3.7K
108,224
0
04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition ChallengeInternational Journal of Computer Vision (IJCV), 2014
Olga Russakovsky
Gaowen Liu
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLMObjD
3.5K
41,527
0
01 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
155
72
0
04 Aug 2014
LSDA: Large Scale Detection Through Adaptation
LSDA: Large Scale Detection Through AdaptationNeural Information Processing Systems (NeurIPS), 2014
Judy Hoffman
S. Guadarrama
Eric Tzeng
Ronghang Hu
Jeff Donahue
Ross B. Girshick
Trevor Darrell
Kate Saenko
ObjD
307
336
0
18 Jul 2014
Discriminative Unsupervised Feature Learning with Exemplar Convolutional
  Neural Networks
Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural NetworksNeural Information Processing Systems (NeurIPS), 2014
Alexey Dosovitskiy
Philipp Fischer
Jost Tobias Springenberg
Martin Riedmiller
Thomas Brox
OODSSL
292
1,049
0
26 Jun 2014
CNN: Single-label to Multi-label
CNN: Single-label to Multi-labelIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2014
Yunchao Wei
Wei Xia
Junshi Huang
Bingbing Ni
Jian Dong
Yao-Min Zhao
Shuicheng Yan
326
696
0
22 Jun 2014
Return of the Devil in the Details: Delving Deep into Convolutional Nets
Return of the Devil in the Details: Delving Deep into Convolutional NetsBritish Machine Vision Conference (BMVC), 2014
Ken Chatfield
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
620
3,475
0
14 May 2014
PCANet: A Simple Deep Learning Baseline for Image Classification?
PCANet: A Simple Deep Learning Baseline for Image Classification?IEEE Transactions on Image Processing (TIP), 2014
Tsung-Han Chan
Kui Jia
Shenghua Gao
Jiwen Lu
Zinan Zeng
Yi-An Ma
339
1,551
0
14 Apr 2014
A Unifying Framework in Vector-valued Reproducing Kernel Hilbert Spaces
  for Manifold Regularization and Co-Regularized Multi-view Learning
A Unifying Framework in Vector-valued Reproducing Kernel Hilbert Spaces for Manifold Regularization and Co-Regularized Multi-view LearningJournal of machine learning research (JMLR), 2014
H. Q. Minh
Loris Bazzani
Vittorio Murino
258
72
0
31 Jan 2014
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