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Distilling Object Detectors with Fine-grained Feature Imitation

Distilling Object Detectors with Fine-grained Feature Imitation

9 June 2019
Tao Wang
Li-xin Yuan
Xiaopeng Zhang
Jiashi Feng
    ObjD
ArXivPDFHTML

Papers citing "Distilling Object Detectors with Fine-grained Feature Imitation"

34 / 34 papers shown
Title
VRM: Knowledge Distillation via Virtual Relation Matching
VRM: Knowledge Distillation via Virtual Relation Matching
W. Zhang
Fei Xie
Weidong Cai
Chao Ma
136
0
0
28 Feb 2025
CKD: Contrastive Knowledge Distillation from A Sample-wise Perspective
CKD: Contrastive Knowledge Distillation from A Sample-wise Perspective
Wencheng Zhu
Xin Zhou
Pengfei Zhu
Yu Wang
Qinghua Hu
VLM
99
1
0
22 Apr 2024
RadarDistill: Boosting Radar-based Object Detection Performance via Knowledge Distillation from LiDAR Features
RadarDistill: Boosting Radar-based Object Detection Performance via Knowledge Distillation from LiDAR Features
Geonho Bang
Kwangjin Choi
Jisong Kim
Dongsuk Kum
Jun Won Choi
61
12
0
08 Mar 2024
Review helps learn better: Temporal Supervised Knowledge Distillation
Review helps learn better: Temporal Supervised Knowledge Distillation
Dongwei Wang
Zhi Han
Yanmei Wang
Xi’ai Chen
Baichen Liu
Yandong Tang
109
1
0
03 Jul 2023
Cascade R-CNN: Delving into High Quality Object Detection
Cascade R-CNN: Delving into High Quality Object Detection
Zhaowei Cai
Nuno Vasconcelos
ObjD
130
4,912
0
03 Dec 2017
ThiNet: A Filter Level Pruning Method for Deep Neural Network
  Compression
ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression
Jian-Hao Luo
Jianxin Wu
Weiyao Lin
49
1,760
0
20 Jul 2017
Towards lightweight convolutional neural networks for object detection
Towards lightweight convolutional neural networks for object detection
Dmitriy Anisimov
T. Khanova
ObjD
50
40
0
05 Jul 2017
DarkRank: Accelerating Deep Metric Learning via Cross Sample
  Similarities Transfer
DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer
Yuntao Chen
Naiyan Wang
Zhaoxiang Zhang
FedML
83
222
0
05 Jul 2017
ShuffleNet: An Extremely Efficient Convolutional Neural Network for
  Mobile Devices
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
Xiangyu Zhang
Xinyu Zhou
Mengxiao Lin
Jian Sun
AI4TS
132
6,850
0
04 Jul 2017
What Can Help Pedestrian Detection?
What Can Help Pedestrian Detection?
Jiayuan Mao
Tete Xiao
Yuning Jiang
Zhimin Cao
53
287
0
08 May 2017
Coordinating Filters for Faster Deep Neural Networks
Coordinating Filters for Faster Deep Neural Networks
W. Wen
Cong Xu
Chunpeng Wu
Yandan Wang
Yiran Chen
Hai Helen Li
38
138
0
28 Mar 2017
Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
382
1,050
0
10 Feb 2017
YOLO9000: Better, Faster, Stronger
YOLO9000: Better, Faster, Stronger
Joseph Redmon
Ali Farhadi
VLM
ObjD
177
15,587
0
25 Dec 2016
Paying More Attention to Attention: Improving the Performance of
  Convolutional Neural Networks via Attention Transfer
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer
Sergey Zagoruyko
N. Komodakis
113
2,569
0
12 Dec 2016
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
437
22,040
0
09 Dec 2016
Learning the Number of Neurons in Deep Networks
Learning the Number of Neurons in Deep Networks
J. Álvarez
Mathieu Salzmann
155
413
0
19 Nov 2016
Pruning Filters for Efficient ConvNets
Pruning Filters for Efficient ConvNets
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
3DPC
186
3,692
0
31 Aug 2016
Learning Structured Sparsity in Deep Neural Networks
Learning Structured Sparsity in Deep Neural Networks
W. Wen
Chunpeng Wu
Yandan Wang
Yiran Chen
Hai Helen Li
152
2,337
0
12 Aug 2016
Faster CNNs with Direct Sparse Convolutions and Guided Pruning
Faster CNNs with Direct Sparse Convolutions and Guided Pruning
Jongsoo Park
Sheng Li
W. Wen
P. T. P. Tang
Hai Helen Li
Yiran Chen
Pradeep Dubey
63
183
0
04 Aug 2016
A Unified Multi-scale Deep Convolutional Neural Network for Fast Object
  Detection
A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection
Zhaowei Cai
Quanfu Fan
Rogerio Feris
Nuno Vasconcelos
ObjD
75
1,492
0
25 Jul 2016
Hardware-oriented Approximation of Convolutional Neural Networks
Hardware-oriented Approximation of Convolutional Neural Networks
Philipp Gysel
Mohammad Motamedi
S. Ghiasi
80
310
0
11 Apr 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural
  Networks
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
Mohammad Rastegari
Vicente Ordonez
Joseph Redmon
Ali Farhadi
MQ
159
4,350
0
16 Mar 2016
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
83
1,165
0
21 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
ObjD
BDL
190
29,742
0
08 Dec 2015
Convolutional neural networks with low-rank regularization
Convolutional neural networks with low-rank regularization
Cheng Tai
Tong Xiao
Yi Zhang
Xiaogang Wang
E. Weinan
BDL
94
460
0
19 Nov 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
229
8,821
0
01 Oct 2015
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
639
36,801
0
08 Jun 2015
Learning both Weights and Connections for Efficient Neural Networks
Learning both Weights and Connections for Efficient Neural Networks
Song Han
Jeff Pool
J. Tran
W. Dally
CVBM
281
6,660
0
08 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
461
62,122
0
04 Jun 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
290
25,008
0
30 Apr 2015
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
306
19,580
0
09 Mar 2015
FitNets: Hints for Thin Deep Nets
FitNets: Hints for Thin Deep Nets
Adriana Romero
Nicolas Ballas
Samira Ebrahimi Kahou
Antoine Chassang
C. Gatta
Yoshua Bengio
FedML
272
3,870
0
19 Dec 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
367
43,524
0
01 May 2014
Rich feature hierarchies for accurate object detection and semantic
  segmentation
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
ObjD
258
26,147
0
11 Nov 2013
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