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Distilling Knowledge by Mimicking Features

Distilling Knowledge by Mimicking Features

3 November 2020
G. Wang
Yifan Ge
Jianxin Wu
ArXivPDFHTML

Papers citing "Distilling Knowledge by Mimicking Features"

20 / 20 papers shown
Title
Quantization without Tears
Quantization without Tears
Minghao Fu
Hao Yu
Jie Shao
Junjie Zhou
Ke Zhu
Jianxin Wu
MQ
64
1
0
21 Nov 2024
LLaVA-KD: A Framework of Distilling Multimodal Large Language Models
LLaVA-KD: A Framework of Distilling Multimodal Large Language Models
Y. Cai
Jiangning Zhang
Haoyang He
Xinwei He
Ao Tong
Zhenye Gan
Chengjie Wang
X. Bai
VLM
24
2
0
21 Oct 2024
Shape-intensity knowledge distillation for robust medical image
  segmentation
Shape-intensity knowledge distillation for robust medical image segmentation
Wenhui Dong
Bo Du
Yongchao Xu
33
0
0
26 Sep 2024
Vision-Based Detection of Uncooperative Targets and Components on Small
  Satellites
Vision-Based Detection of Uncooperative Targets and Components on Small Satellites
Hannah Grauer
E. Lupu
Connor T. Lee
Soon-Jo Chung
Darren Rowen
Benjamen P. Bycroft
Phaedrus Leeds
John Brader
35
1
0
22 Aug 2024
Overcoming Uncertain Incompleteness for Robust Multimodal Sequential Diagnosis Prediction via Curriculum Data Erasing Guided Knowledge Distillation
Overcoming Uncertain Incompleteness for Robust Multimodal Sequential Diagnosis Prediction via Curriculum Data Erasing Guided Knowledge Distillation
Heejoon Koo
43
0
0
28 Jul 2024
Why does Knowledge Distillation Work? Rethink its Attention and Fidelity
  Mechanism
Why does Knowledge Distillation Work? Rethink its Attention and Fidelity Mechanism
Chenqi Guo
Shiwei Zhong
Xiaofeng Liu
Qianli Feng
Yinglong Ma
22
1
0
30 Apr 2024
Towards Real-Time Neural Video Codec for Cross-Platform Application
  Using Calibration Information
Towards Real-Time Neural Video Codec for Cross-Platform Application Using Calibration Information
Kuan Tian
Yonghang Guan
Jin-Peng Xiang
Jun Zhang
Xiao Han
Wei Yang
34
7
0
20 Sep 2023
Long-Tailed Continual Learning For Visual Food Recognition
Long-Tailed Continual Learning For Visual Food Recognition
Jiangpeng He
Luotao Lin
Jack Ma
H. Eicher-Miller
F. Zhu
Fengqing M Zhu
59
14
0
01 Jul 2023
Towards Efficient Task-Driven Model Reprogramming with Foundation Models
Towards Efficient Task-Driven Model Reprogramming with Foundation Models
Shoukai Xu
Jiangchao Yao
Ran Luo
Shuhai Zhang
Zihao Lian
Mingkui Tan
Bo Han
Yaowei Wang
24
6
0
05 Apr 2023
EVC: Towards Real-Time Neural Image Compression with Mask Decay
EVC: Towards Real-Time Neural Image Compression with Mask Decay
G. Wang
Jiahao Li
Bin Li
Yan Lu
22
63
0
10 Feb 2023
Guided Hybrid Quantization for Object detection in Multimodal Remote
  Sensing Imagery via One-to-one Self-teaching
Guided Hybrid Quantization for Object detection in Multimodal Remote Sensing Imagery via One-to-one Self-teaching
Jiaqing Zhang
Jie Lei
Weiying Xie
Yunsong Li
Wenxuan Wang
MQ
27
18
0
31 Dec 2022
IDa-Det: An Information Discrepancy-aware Distillation for 1-bit
  Detectors
IDa-Det: An Information Discrepancy-aware Distillation for 1-bit Detectors
Sheng Xu
Yanjing Li
Bo-Wen Zeng
Teli Ma
Baochang Zhang
Xianbin Cao
Penglei Gao
Jinhu Lv
30
15
0
07 Oct 2022
Skeleton-based Action Recognition via Adaptive Cross-Form Learning
Skeleton-based Action Recognition via Adaptive Cross-Form Learning
Xuanhan Wang
Yan Dai
Lianli Gao
Jingkuan Song
21
20
0
30 Jun 2022
Localization Distillation for Object Detection
Localization Distillation for Object Detection
Zhaohui Zheng
Rongguang Ye
Ping Wang
Dongwei Ren
Jun Wang
W. Zuo
Ming-Ming Cheng
21
64
0
12 Apr 2022
Practical Network Acceleration with Tiny Sets
Practical Network Acceleration with Tiny Sets
G. Wang
Jianxin Wu
32
8
0
16 Feb 2022
Compressing Models with Few Samples: Mimicking then Replacing
Compressing Models with Few Samples: Mimicking then Replacing
Huanyu Wang
Junjie Liu
Xin Ma
Yang Yong
Z. Chai
Jianxin Wu
VLM
OffRL
11
11
0
07 Jan 2022
Optimizing for In-memory Deep Learning with Emerging Memory Technology
Optimizing for In-memory Deep Learning with Emerging Memory Technology
Zhehui Wang
Tao Luo
Rick Siow Mong Goh
Wei Zhang
Weng-Fai Wong
13
1
0
01 Dec 2021
Towards Efficient Post-training Quantization of Pre-trained Language
  Models
Towards Efficient Post-training Quantization of Pre-trained Language Models
Haoli Bai
Lu Hou
Lifeng Shang
Xin Jiang
Irwin King
M. Lyu
MQ
76
47
0
30 Sep 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,371
0
09 Mar 2020
Knowledge Distillation by On-the-Fly Native Ensemble
Knowledge Distillation by On-the-Fly Native Ensemble
Xu Lan
Xiatian Zhu
S. Gong
192
473
0
12 Jun 2018
1