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Deformable Part Models are Convolutional Neural Networks

Deformable Part Models are Convolutional Neural Networks

18 September 2014
Ross B. Girshick
F. Iandola
Trevor Darrell
Jitendra Malik
ArXivPDFHTML

Papers citing "Deformable Part Models are Convolutional Neural Networks"

25 / 125 papers shown
Title
MOT16: A Benchmark for Multi-Object Tracking
MOT16: A Benchmark for Multi-Object Tracking
Anton Milan
Laura Leal-Taixe
Ian Reid
Stefan Roth
Konrad Schindler
VOT
104
1,779
0
02 Mar 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB
  model size
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
F. Iandola
Song Han
Matthew W. Moskewicz
Khalid Ashraf
W. Dally
Kurt Keutzer
82
7,427
0
24 Feb 2016
Factors in Finetuning Deep Model for object detection
Factors in Finetuning Deep Model for object detection
Wanli Ouyang
Xiaogang Wang
Cong Zhang
Xiaokang Yang
16
188
0
20 Jan 2016
Recent Advances in Convolutional Neural Networks
Recent Advances in Convolutional Neural Networks
Jiuxiang Gu
Zhenhua Wang
Jason Kuen
Lianyang Ma
Amir Shahroudy
...
Xingxing Wang
Li Wang
Gang Wang
Jianfei Cai
Tsuhan Chen
37
5,150
0
22 Dec 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
Philip Torr
SSeg
14
230
0
25 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
6
22
0
23 Nov 2015
A Simple Hierarchical Pooling Data Structure for Loop Closure
A Simple Hierarchical Pooling Data Structure for Loop Closure
Xiaohan Fei
Konstantine Tsotsos
Stefano Soatto
27
13
0
20 Nov 2015
FireCaffe: near-linear acceleration of deep neural network training on
  compute clusters
FireCaffe: near-linear acceleration of deep neural network training on compute clusters
F. Iandola
Khalid Ashraf
Matthew W. Moskewicz
Kurt Keutzer
27
302
0
31 Oct 2015
A Deep Pyramid Deformable Part Model for Face Detection
A Deep Pyramid Deformable Part Model for Face Detection
Rajeev Ranjan
Vishal M. Patel
Rama Chellappa
CVBM
3DH
9
165
0
18 Aug 2015
Mapping Auto-context Decision Forests to Deep ConvNets for Semantic
  Segmentation
Mapping Auto-context Decision Forests to Deep ConvNets for Semantic Segmentation
D. L. Richmond
Dagmar Kainmüller
M. Yang
E. Myers
Carsten Rother
SSeg
23
14
0
27 Jul 2015
Bottom-Up and Top-Down Reasoning with Hierarchical Rectified Gaussians
Bottom-Up and Top-Down Reasoning with Hierarchical Rectified Gaussians
Peiyun Hu
Deva Ramanan
BDL
20
113
0
21 Jul 2015
Spotlight the Negatives: A Generalized Discriminative Latent Model
Spotlight the Negatives: A Generalized Discriminative Latent Model
Hossein Azizpour
Mostafa Arefiyan
S. N. Parizi
S. Carlsson
BDL
27
11
0
08 Jul 2015
Multi-scale Volumes for Deep Object Detection and Localization
Multi-scale Volumes for Deep Object Detection and Localization
Eshed Ohn-Bar
Mohan M. Trivedi
ObjD
21
35
0
14 May 2015
Joint Object and Part Segmentation using Deep Learned Potentials
Joint Object and Part Segmentation using Deep Learned Potentials
Peng Wang
Xiaohui Shen
Zhe Lin
Scott D. Cohen
Brian L. Price
Alan Yuille
37
123
0
01 May 2015
Convolutional Channel Features
Convolutional Channel Features
Binh Yang
Junjie Yan
Zhen Lei
Stan Z. Li
11
19
0
28 Apr 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
Learning to Detect Vehicles by Clustering Appearance Patterns
Learning to Detect Vehicles by Clustering Appearance Patterns
Eshed Ohn-Bar
Mohan M. Trivedi
26
132
0
12 Mar 2015
Conditional Random Fields as Recurrent Neural Networks
Conditional Random Fields as Recurrent Neural Networks
Shuai Zheng
Sadeep Jayasumana
Bernardino Romera-Paredes
Vibhav Vineet
Zhizhong Su
Dalong Du
Chang Huang
Philip Torr
SSeg
77
2,529
0
11 Feb 2015
Multi-view Face Detection Using Deep Convolutional Neural Networks
Multi-view Face Detection Using Deep Convolutional Neural Networks
S. Farfade
M. Saberian
Li-Jia Li
CVBM
34
577
0
10 Feb 2015
Visual Instance Retrieval with Deep Convolutional Networks
Visual Instance Retrieval with Deep Convolutional Networks
A. Razavian
Josephine Sullivan
S. Carlsson
A. Maki
40
366
0
20 Dec 2014
DeepID-Net: Deformable Deep Convolutional Neural Networks for Object
  Detection
DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection
Wanli Ouyang
Xiaogang Wang
Xingyu Zeng
Shi Qiu
Ping Luo
...
Hongsheng Li
Shuo Yang
Zhe Wang
Chen Change Loy
Xiaoou Tang
ObjD
37
436
0
17 Dec 2014
Actions and Attributes from Wholes and Parts
Actions and Attributes from Wholes and Parts
Georgia Gkioxari
Ross B. Girshick
Jitendra Malik
23
147
0
08 Dec 2014
Untangling Local and Global Deformations in Deep Convolutional Networks
  for Image Classification and Sliding Window Detection
Untangling Local and Global Deformations in Deep Convolutional Networks for Image Classification and Sliding Window Detection
George Papandreou
Iasonas Kokkinos
Pierre-André Savalle
35
47
0
30 Nov 2014
Viewpoints and Keypoints
Viewpoints and Keypoints
Shubham Tulsiani
Jitendra Malik
29
398
0
22 Nov 2014
End-to-End Integration of a Convolutional Network, Deformable Parts
  Model and Non-Maximum Suppression
End-to-End Integration of a Convolutional Network, Deformable Parts Model and Non-Maximum Suppression
Li Wan
David Eigen
Rob Fergus
31
99
0
19 Nov 2014
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