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LGD: Label-guided Self-distillation for Object Detection

LGD: Label-guided Self-distillation for Object Detection

23 September 2021
Peizhen Zhang
Zijian Kang
Tong Yang
Xinming Zhang
N. Zheng
Jian Sun
    ObjD
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Papers citing "LGD: Label-guided Self-distillation for Object Detection"

45 / 45 papers shown
Title
G-DetKD: Towards General Distillation Framework for Object Detectors via
  Contrastive and Semantic-guided Feature Imitation
G-DetKD: Towards General Distillation Framework for Object Detectors via Contrastive and Semantic-guided Feature Imitation
Lewei Yao
Renjie Pi
Hang Xu
Wei Zhang
Zhenguo Li
Tong Zhang
70
34
0
17 Aug 2021
Focal Self-attention for Local-Global Interactions in Vision
  Transformers
Focal Self-attention for Local-Global Interactions in Vision Transformers
Jianwei Yang
Chunyuan Li
Pengchuan Zhang
Xiyang Dai
Bin Xiao
Lu Yuan
Jianfeng Gao
ViT
70
433
0
01 Jul 2021
Distilling Object Detectors via Decoupled Features
Distilling Object Detectors via Decoupled Features
Jianyuan Guo
Kai Han
Yunhe Wang
Han Wu
Xinghao Chen
Chunjing Xu
Chang Xu
64
200
0
26 Mar 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
396
21,281
0
25 Mar 2021
End-to-End Object Detection with Fully Convolutional Network
End-to-End Object Detection with Fully Convolutional Network
Jianfeng Wang
Lin Song
Zeming Li
Hongbin Sun
Jian Sun
N. Zheng
ObjD
80
196
0
07 Dec 2020
Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural
  Architecture Search
Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural Architecture Search
Houwen Peng
Hao Du
Hongyuan Yu
Qi Li
Jing Liao
Jianlong Fu
46
67
0
29 Oct 2020
Comprehensive Attention Self-Distillation for Weakly-Supervised Object
  Detection
Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection
Zeyi Huang
Yang Zou
V. Bhagavatula
Dong Huang
WSOD
47
123
0
22 Oct 2020
MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down
  Distillation
MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation
Benlin Liu
Yongming Rao
Jiwen Lu
Jie Zhou
Cho-Jui Hsieh
57
37
0
27 Aug 2020
Prime-Aware Adaptive Distillation
Prime-Aware Adaptive Distillation
Youcai Zhang
Zhonghao Lan
Yuchen Dai
Fangao Zeng
Yan Bai
Jie Chang
Yichen Wei
42
40
0
04 Aug 2020
RepPoints V2: Verification Meets Regression for Object Detection
RepPoints V2: Verification Meets Regression for Object Detection
Yihong Chen
Zheng Zhang
Yue Cao
Liwei Wang
Stephen Lin
Han Hu
65
118
0
16 Jul 2020
LabelEnc: A New Intermediate Supervision Method for Object Detection
LabelEnc: A New Intermediate Supervision Method for Object Detection
Miao Hao
Yitao Liu
Xinming Zhang
Jian Sun
47
25
0
07 Jul 2020
Regularizing Class-wise Predictions via Self-knowledge Distillation
Regularizing Class-wise Predictions via Self-knowledge Distillation
Sukmin Yun
Jongjin Park
Kimin Lee
Jinwoo Shin
51
278
0
31 Mar 2020
Bridging the Gap Between Anchor-based and Anchor-free Detection via
  Adaptive Training Sample Selection
Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection
Shifeng Zhang
Cheng Chi
Yongqiang Yao
Zhen Lei
Stan Z. Li
ObjD
151
1,540
0
05 Dec 2019
Online Knowledge Distillation with Diverse Peers
Online Knowledge Distillation with Diverse Peers
Defang Chen
Jian-Ping Mei
Can Wang
Yan Feng
Chun-Yen Chen
FedML
60
301
0
01 Dec 2019
Distilling Object Detectors with Fine-grained Feature Imitation
Distilling Object Detectors with Fine-grained Feature Imitation
Tao Wang
Li-xin Yuan
Xiaopeng Zhang
Jiashi Feng
ObjD
45
381
0
09 Jun 2019
Be Your Own Teacher: Improve the Performance of Convolutional Neural
  Networks via Self Distillation
Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation
Linfeng Zhang
Jiebo Song
Anni Gao
Jingwei Chen
Chenglong Bao
Kaisheng Ma
FedML
60
857
0
17 May 2019
Exploring Object Relation in Mean Teacher for Cross-Domain Detection
Exploring Object Relation in Mean Teacher for Cross-Domain Detection
Qi Cai
Yingwei Pan
Chong-Wah Ngo
Xinmei Tian
Ling-yu Duan
Ting Yao
ViT
OOD
67
307
0
25 Apr 2019
Relational Knowledge Distillation
Relational Knowledge Distillation
Wonpyo Park
Dongju Kim
Yan Lu
Minsu Cho
63
1,405
0
10 Apr 2019
FCOS: Fully Convolutional One-Stage Object Detection
FCOS: Fully Convolutional One-Stage Object Detection
Zhi Tian
Chunhua Shen
Hao Chen
Tong He
ObjD
114
4,997
0
02 Apr 2019
Generalized Intersection over Union: A Metric and A Loss for Bounding
  Box Regression
Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression
S. Hamid Rezatofighi
Deyuan Li
JunYoung Gwak
Amir Sadeghian
Ian Reid
Silvio Savarese
145
4,143
0
25 Feb 2019
Snapshot Distillation: Teacher-Student Optimization in One Generation
Snapshot Distillation: Teacher-Student Optimization in One Generation
Chenglin Yang
Lingxi Xie
Chi Su
Alan Yuille
58
193
0
01 Dec 2018
Deformable ConvNets v2: More Deformable, Better Results
Deformable ConvNets v2: More Deformable, Better Results
Xizhou Zhu
Han Hu
Stephen Lin
Jifeng Dai
ObjD
92
2,005
0
27 Nov 2018
Rethinking ImageNet Pre-training
Rethinking ImageNet Pre-training
Kaiming He
Ross B. Girshick
Piotr Dollár
VLM
SSeg
123
1,083
0
21 Nov 2018
CornerNet: Detecting Objects as Paired Keypoints
CornerNet: Detecting Objects as Paired Keypoints
Hei Law
Jia Deng
ObjD
67
3,613
0
03 Aug 2018
Knowledge Distillation by On-the-Fly Native Ensemble
Knowledge Distillation by On-the-Fly Native Ensemble
Xu Lan
Xiatian Zhu
S. Gong
275
476
0
12 Jun 2018
Born Again Neural Networks
Born Again Neural Networks
Tommaso Furlanello
Zachary Chase Lipton
Michael Tschannen
Laurent Itti
Anima Anandkumar
68
1,030
0
12 May 2018
Quantization Mimic: Towards Very Tiny CNN for Object Detection
Quantization Mimic: Towards Very Tiny CNN for Object Detection
Yi Wei
Xinyu Pan
Hongwei Qin
Wanli Ouyang
Junjie Yan
ObjD
101
89
0
06 May 2018
CrowdHuman: A Benchmark for Detecting Human in a Crowd
CrowdHuman: A Benchmark for Detecting Human in a Crowd
Shuai Shao
Zijian Zhao
Boxun Li
Tete Xiao
Gang Yu
Xiangyu Zhang
Jian Sun
263
684
0
30 Apr 2018
Regularizing Deep Networks by Modeling and Predicting Label Structure
Regularizing Deep Networks by Modeling and Predicting Label Structure
Mohammadreza Mostajabi
Michael Maire
Gregory Shakhnarovich
NoLa
69
32
0
05 Apr 2018
Relation Networks for Object Detection
Relation Networks for Object Detection
Han Hu
Jiayuan Gu
Zheng Zhang
Jifeng Dai
Yichen Wei
ObjD
102
1,221
0
30 Nov 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
622
130,942
0
12 Jun 2017
Deep Mutual Learning
Deep Mutual Learning
Ying Zhang
Tao Xiang
Timothy M. Hospedales
Huchuan Lu
FedML
143
1,650
0
01 Jun 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
344
27,129
0
20 Mar 2017
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
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas Guibas
3DH
3DPC
3DV
PINN
438
14,264
0
02 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
472
10,305
0
16 Nov 2016
Instance Normalization: The Missing Ingredient for Fast Stylization
Instance Normalization: The Missing Ingredient for Fast Stylization
Dmitry Ulyanov
Andrea Vedaldi
Victor Lempitsky
OOD
140
3,701
0
27 Jul 2016
Layer Normalization
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
332
10,467
0
21 Jul 2016
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
666
27,303
0
02 Dec 2015
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
292
7,379
0
05 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
459
62,122
0
04 Jun 2015
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
302
19,580
0
09 Mar 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
411
43,234
0
11 Feb 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
268
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
365
43,524
0
01 May 2014
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