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2308.09105
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Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation
17 August 2023
Shengcao Cao
Mengtian Li
James Hays
Deva Ramanan
Yu-Xiong Wang
Liangyan Gui
VLM
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Papers citing
"Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation"
17 / 17 papers shown
Title
Masked Generative Distillation
Zhendong Yang
Zhe Li
Mingqi Shao
Dachuan Shi
Zehuan Yuan
Chun Yuan
FedML
63
171
0
03 May 2022
Instance-Conditional Knowledge Distillation for Object Detection
Zijian Kang
Peizhen Zhang
Xinming Zhang
Jian Sun
N. Zheng
46
77
0
25 Oct 2021
Distilling Image Classifiers in Object Detectors
Shuxuan Guo
J. Álvarez
Mathieu Salzmann
VLM
32
8
0
09 Jun 2021
Distilling Object Detectors via Decoupled Features
Jianyuan Guo
Kai Han
Yunhe Wang
Han Wu
Xinghao Chen
Chunjing Xu
Chang Xu
56
199
0
26 Mar 2021
EfficientDet: Scalable and Efficient Object Detection
Mingxing Tan
Ruoming Pang
Quoc V. Le
76
4,996
0
20 Nov 2019
Argoverse: 3D Tracking and Forecasting with Rich Maps
Ming-Fang Chang
John Lambert
Patsorn Sangkloy
Jagjeet Singh
Sławomir Bąk
...
De Wang
Peter Carr
Simon Lucey
Deva Ramanan
James Hays
3DPC
114
1,289
0
06 Nov 2019
On the Efficacy of Knowledge Distillation
Ligang He
Rui Mao
77
603
0
03 Oct 2019
MMDetection: Open MMLab Detection Toolbox and Benchmark
Kai-xiang Chen
Jiaqi Wang
Jiangmiao Pang
Yuhang Cao
Yu Xiong
...
Jingdong Wang
Jianping Shi
Wanli Ouyang
Chen Change Loy
Dahua Lin
VOS
114
2,845
0
17 Jun 2019
Budgeted Training: Rethinking Deep Neural Network Training Under Resource Constraints
Mengtian Li
Ersin Yumer
Deva Ramanan
55
47
0
12 May 2019
FCOS: Fully Convolutional One-Stage Object Detection
Zhi Tian
Chunhua Shen
Hao Chen
Tong He
ObjD
100
4,969
0
02 Apr 2019
Hybrid Task Cascade for Instance Segmentation
Kai-xiang Chen
Jiangmiao Pang
Jiaqi Wang
Yu Xiong
Xiaoxiao Li
...
Ziwei Liu
Jianping Shi
Wanli Ouyang
Chen Change Loy
Dahua Lin
ISeg
113
1,298
0
22 Jan 2019
YOLOv3: An Incremental Improvement
Joseph Redmon
Ali Farhadi
ObjD
93
21,306
0
08 Apr 2018
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer
Sergey Zagoruyko
N. Komodakis
101
2,561
0
12 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
430
10,281
0
16 Nov 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
355
2,922
0
15 Sep 2016
Shallow Networks for High-Accuracy Road Object-Detection
Khalid Ashraf
Bichen Wu
F. Iandola
Matthew W. Moskewicz
Kurt Keutzer
ObjD
45
53
0
05 Jun 2016
FitNets: Hints for Thin Deep Nets
Adriana Romero
Nicolas Ballas
Samira Ebrahimi Kahou
Antoine Chassang
C. Gatta
Yoshua Bengio
FedML
236
3,862
0
19 Dec 2014
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