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Fisher-aware Quantization for DETR Detectors with Critical-category
  Objectives

Fisher-aware Quantization for DETR Detectors with Critical-category Objectives

3 July 2024
Huanrui Yang
Yafeng Huang
Zhen Dong
Denis A. Gudovskiy
Tomoyuki Okuno
Yohei Nakata
Yuan Du
Kurt Keutzer
Shanghang Zhang
    MQ
ArXiv (abs)PDFHTML

Papers citing "Fisher-aware Quantization for DETR Detectors with Critical-category Objectives"

22 / 22 papers shown
Title
CSQ: Growing Mixed-Precision Quantization Scheme with Bi-level
  Continuous Sparsification
CSQ: Growing Mixed-Precision Quantization Scheme with Bi-level Continuous Sparsification
Lirui Xiao
Huanrui Yang
Zhen Dong
Kurt Keutzer
Li Du
Shanghang Zhang
MQ
52
10
0
06 Dec 2022
Recall Distortion in Neural Network Pruning and the Undecayed Pruning
  Algorithm
Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm
Aidan Good
Jia-Huei Lin
Hannah Sieg
Mikey Ferguson
Xin Yu
Shandian Zhe
J. Wieczorek
Thiago Serra
87
11
0
07 Jun 2022
Pruning has a disparate impact on model accuracy
Pruning has a disparate impact on model accuracy
Cuong Tran
Ferdinando Fioretto
Jung-Eun Kim
Rakshit Naidu
79
40
0
26 May 2022
DN-DETR: Accelerate DETR Training by Introducing Query DeNoising
DN-DETR: Accelerate DETR Training by Introducing Query DeNoising
Feng Li
Hao Zhang
Shi-guang Liu
Jian Guo
L. Ni
Lei Zhang
ViT
130
678
0
02 Mar 2022
DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR
DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR
Shilong Liu
Feng Li
Hao Zhang
Xiaohu Yang
Xianbiao Qi
Hang Su
Jun Zhu
Lei Zhang
ViT
294
757
0
28 Jan 2022
AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable
  Probabilistic Implicit Differentiation
AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation
Denis A. Gudovskiy
Luca Rigazio
Shun Ishizaka
Kazuki Kozuka
Sotaro Tsukizawa
NoLa
65
22
0
10 Mar 2021
BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network
  Quantization
BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization
Huanrui Yang
Lin Duan
Yiran Chen
Hai Helen Li
MQ
61
65
0
20 Feb 2021
Sharpness-Aware Minimization for Efficiently Improving Generalization
Sharpness-Aware Minimization for Efficiently Improving Generalization
Pierre Foret
Ariel Kleiner
H. Mobahi
Behnam Neyshabur
AAML
192
1,350
0
03 Oct 2020
End-to-End Object Detection with Transformers
End-to-End Object Detection with Transformers
Nicolas Carion
Francisco Massa
Gabriel Synnaeve
Nicolas Usunier
Alexander Kirillov
Sergey Zagoruyko
ViT3DVPINN
421
13,048
0
26 May 2020
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks
Zhen Dong
Z. Yao
Yaohui Cai
Daiyaan Arfeen
A. Gholami
Michael W. Mahoney
Kurt Keutzer
MQ
88
280
0
10 Nov 2019
DeepHoyer: Learning Sparser Neural Network with Differentiable
  Scale-Invariant Sparsity Measures
DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures
Huanrui Yang
W. Wen
H. Li
58
97
0
27 Aug 2019
Once-for-All: Train One Network and Specialize it for Efficient
  Deployment
Once-for-All: Train One Network and Specialize it for Efficient Deployment
Han Cai
Chuang Gan
Tianzhe Wang
Zhekai Zhang
Song Han
OOD
105
1,281
0
26 Aug 2019
FCOS: Fully Convolutional One-Stage Object Detection
FCOS: Fully Convolutional One-Stage Object Detection
Zhi Tian
Chunhua Shen
Hao Chen
Tong He
ObjD
130
5,013
0
02 Apr 2019
PACT: Parameterized Clipping Activation for Quantized Neural Networks
PACT: Parameterized Clipping Activation for Quantized Neural Networks
Jungwook Choi
Zhuo Wang
Swagath Venkataramani
P. Chuang
Vijayalakshmi Srinivasan
K. Gopalakrishnan
MQ
65
953
0
16 May 2018
A Tutorial on Fisher Information
A Tutorial on Fisher Information
A. Ly
M. Marsman
J. Verhagen
R. Grasman
E. Wagenmakers
80
257
0
02 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
43
138
0
28 Mar 2017
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
181
2,339
0
12 Aug 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
1.1K
11,623
0
06 Apr 2016
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
259
8,842
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
705
36,958
0
08 Jun 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
306
25,059
0
30 Apr 2015
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
413
43,667
0
01 May 2014
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