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v1v2 (latest)

FEDS: Feature and Entropy-Based Distillation Strategy for Efficient Learned Image Compression

9 March 2025
H. Fu
Jie Liang
Zhenman Fang
Jingning Han
ArXiv (abs)PDFHTML

Papers citing "FEDS: Feature and Entropy-Based Distillation Strategy for Efficient Learned Image Compression"

28 / 28 papers shown
Title
Learned Image Compression with Mixed Transformer-CNN Architectures
Learned Image Compression with Mixed Transformer-CNN Architectures
Jinming Liu
Heming Sun
J. Katto
86
236
0
27 Mar 2023
MLIC: Multi-Reference Entropy Model for Learned Image Compression
MLIC: Multi-Reference Entropy Model for Learned Image Compression
Wei Jiang
Jiayu Yang
Yongqi Zhai
Peirong Ning
Feng Gao
Ronggang Wang
65
83
0
14 Nov 2022
Learned Image Compression with Generalized Octave Convolution and
  Cross-Resolution Parameter Estimation
Learned Image Compression with Generalized Octave Convolution and Cross-Resolution Parameter Estimation
H. Fu
Feng Liang
56
16
0
07 Sep 2022
ELIC: Efficient Learned Image Compression with Unevenly Grouped
  Space-Channel Contextual Adaptive Coding
ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding
Dailan He
Zi Yang
Weikun Peng
Rui Ma
Hongwei Qin
Yan Wang
64
329
0
21 Mar 2022
The Devil Is in the Details: Window-based Attention for Image
  Compression
The Devil Is in the Details: Window-based Attention for Image Compression
Renjie Zou
Chunfeng Song
Zhaoxiang Zhang
ViT
43
217
0
16 Mar 2022
Entroformer: A Transformer-based Entropy Model for Learned Image
  Compression
Entroformer: A Transformer-based Entropy Model for Learned Image Compression
Yichen Qian
Ming Lin
Xiuyu Sun
Zhiyu Tan
Rong Jin
ViT
69
140
0
11 Feb 2022
Microdosing: Knowledge Distillation for GAN based Compression
Microdosing: Knowledge Distillation for GAN based Compression
Leonhard Helminger
Roberto Azevedo
Abdelaziz Djelouah
Markus Gross
Christopher Schroers
40
3
0
07 Jan 2022
Joint Global and Local Hierarchical Priors for Learned Image Compression
Joint Global and Local Hierarchical Priors for Learned Image Compression
Jun-Hyuk Kim
Byeongho Heo
Jong-Seok Lee
78
85
0
08 Dec 2021
Focal and Global Knowledge Distillation for Detectors
Focal and Global Knowledge Distillation for Detectors
Zhendong Yang
Zhe Li
Xiaohu Jiang
Yuan Gong
Zehuan Yuan
Danpei Zhao
Chun Yuan
FedMLObjD
61
257
0
23 Nov 2021
Swin Transformer V2: Scaling Up Capacity and Resolution
Swin Transformer V2: Scaling Up Capacity and Resolution
Ze Liu
Han Hu
Yutong Lin
Zhuliang Yao
Zhenda Xie
...
Yue Cao
Zheng Zhang
Li Dong
Furu Wei
B. Guo
ViT
215
1,813
0
18 Nov 2021
Enhanced Invertible Encoding for Learned Image Compression
Enhanced Invertible Encoding for Learned Image Compression
Yueqi Xie
Ka Leong Cheng
Qifeng Chen
75
191
0
08 Aug 2021
Learned Image Compression with Gaussian-Laplacian-Logistic Mixture Model
  and Concatenated Residual Modules
Learned Image Compression with Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules
H. Fu
F. Liang
Jianping Lin
Bing Li
Mohammad Akbari
Jie Liang
Guohe Zhang
Dong Liu
Chengjie Tu
Jingning Han
73
55
0
14 Jul 2021
Open-vocabulary Object Detection via Vision and Language Knowledge
  Distillation
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation
Xiuye Gu
Nayeon Lee
Weicheng Kuo
Huayu Chen
VLMObjD
283
917
0
28 Apr 2021
Checkerboard Context Model for Efficient Learned Image Compression
Checkerboard Context Model for Efficient Learned Image Compression
Dailan He
Yaoyan Zheng
Baochen Sun
Yan Wang
Hongwei Qin
67
281
0
29 Mar 2021
Distilling a Powerful Student Model via Online Knowledge Distillation
Distilling a Powerful Student Model via Online Knowledge Distillation
Shaojie Li
Mingbao Lin
Yan Wang
Yongjian Wu
Yonghong Tian
Ling Shao
Rongrong Ji
FedML
77
47
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
453
21,439
0
25 Mar 2021
Learned Multi-Resolution Variable-Rate Image Compression with
  Octave-based Residual Blocks
Learned Multi-Resolution Variable-Rate Image Compression with Octave-based Residual Blocks
Mohammad Akbari
Jie Liang
Jingning Han
Chengjie Tu
48
20
0
31 Dec 2020
Channel-wise Autoregressive Entropy Models for Learned Image Compression
Channel-wise Autoregressive Entropy Models for Learned Image Compression
David C. Minnen
Saurabh Singh
69
410
0
17 Jul 2020
Distilling portable Generative Adversarial Networks for Image
  Translation
Distilling portable Generative Adversarial Networks for Image Translation
Hanting Chen
Yunhe Wang
Han Shu
Changyuan Wen
Chunjing Xu
Boxin Shi
Chao Xu
Chang Xu
146
83
0
07 Mar 2020
Learning End-to-End Lossy Image Compression: A Benchmark
Learning End-to-End Lossy Image Compression: A Benchmark
Yueyu Hu
Wenhan Yang
Zhan Ma
Jiaying Liu
79
161
0
10 Feb 2020
A Comprehensive Benchmark for Single Image Compression Artifacts
  Reduction
A Comprehensive Benchmark for Single Image Compression Artifacts Reduction
Jiaying Liu
Dong Liu
Wenhan Yang
Sifeng Xia
Xiaoshuai Zhang
Yuanying Dai
76
73
0
09 Sep 2019
Similarity-Preserving Knowledge Distillation
Similarity-Preserving Knowledge Distillation
Frederick Tung
Greg Mori
124
978
0
23 Jul 2019
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural
  Networks with Octave Convolution
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution
Yunpeng Chen
Haoqi Fan
Bing Xu
Zhicheng Yan
Yannis Kalantidis
Marcus Rohrbach
Shuicheng Yan
Jiashi Feng
103
560
0
10 Apr 2019
A Comprehensive Overhaul of Feature Distillation
A Comprehensive Overhaul of Feature Distillation
Byeongho Heo
Jeesoo Kim
Sangdoo Yun
Hyojin Park
Nojun Kwak
J. Choi
83
580
0
03 Apr 2019
Joint Autoregressive and Hierarchical Priors for Learned Image
  Compression
Joint Autoregressive and Hierarchical Priors for Learned Image Compression
David C. Minnen
Johannes Ballé
G. Toderici
79
1,275
0
08 Sep 2018
Non-local Neural Networks
Non-local Neural Networks
Xinyu Wang
Ross B. Girshick
Abhinav Gupta
Kaiming He
OffRL
289
8,906
0
21 Nov 2017
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
362
19,660
0
09 Mar 2015
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