Representation Learning on ImageNet

Metric: ADCC (higher is better)

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#	Model↕	ADCC▼	Augmentations	Paper	Date↕	Code
1	JAFAR	73.3	No	JAFAR: Jack up Any Feature at Any Resolution	2025-06-10	Code
2	FeatUp (JBU)	64.3	No	FeatUp: A Model-Agnostic Framework for Features ...	2024-03-15	Code
3	Bilinear	61.7	No	-	-	-
4	Dysample	61.6	No	Learning to Upsample by Learning to Sample	2023-08-29	Code
5	CARAFE	59.7	No	CARAFE: Content-Aware ReAssembly of FEatures	2019-05-06	Code
6	ReSFU	59.4	No	A Refreshed Similarity-based Upsampler for Direc...	2024-07-02	Code
7	SAPA	55.4	No	SAPA: Similarity-Aware Point Affiliation for Fea...	2022-09-26	Code
8	LiFT	53	No	LiFT: A Surprisingly Simple Lightweight Feature ...	2024-03-21	Code

#1JAFARSOTA
73.3
ADCC· 2025-06-10
JAFAR: Jack up Any Feature at Any Resolution Code
#2FeatUp (JBU)SOTA
64.3
ADCC· 2024-03-15
FeatUp: A Model-Agnostic Framework for Features at Any Resolution Code
#3Bilinear
61.7
ADCC
No paper
#4DysampleSOTA
61.6
ADCC· 2023-08-29
Learning to Upsample by Learning to Sample Code
#5CARAFESOTA
59.7
ADCC· 2019-05-06
CARAFE: Content-Aware ReAssembly of FEatures Code
#6ReSFU
59.4
ADCC· 2024-07-02
A Refreshed Similarity-based Upsampler for Direct High-Ratio Feature Upsampling Code
#7SAPA
55.4
ADCC· 2022-09-26
SAPA: Similarity-Aware Point Affiliation for Feature Upsampling Code
#8LiFT
53
ADCC· 2024-03-21
LiFT: A Surprisingly Simple Lightweight Feature Transform for Dense ViT Descriptors Code