ML Research Wiki / Benchmarks / Long-tail Learning / Places-LT

Places-LT

Long-tail Learning Benchmark

Performance Over Time

📊 Showing 28 results | 📏 Metric: Top-1 Accuracy

Top Performing Models

Rank	Model	Paper	Top-1 Accuracy	Date	Code
1	LIFT (ViT-L/14)	Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts	53.70	2023-09-18	📦 shijxcs/lift
2	LIFT (ViT-B/16)	Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts	52.20	2023-09-18	📦 shijxcs/lift
3	MAM (ViT-B/16) 📚	Improving Image Recognition by Retrieving from Web-Scale Image-Text Data	51.40	2023-04-11	-
4	VL-LTR (ViT-B-16) 📚	VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition	50.10	2021-11-26	📦 ChangyaoTian/VL-LTR
5	BALLAD(ViT-B-16) 📚	A Simple Long-Tailed Recognition Baseline via Vision-Language Model	49.50	2021-11-29	📦 gaopengcuhk/ballad
6	BALLAD(ResNet-50×16) 📚	A Simple Long-Tailed Recognition Baseline via Vision-Language Model	49.30	2021-11-29	📦 gaopengcuhk/ballad
7	VL-LTR (ResNet-50) 📚	VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition	48.00	2021-11-26	📦 ChangyaoTian/VL-LTR
8	BALLAD(ResNet-101) 📚	A Simple Long-Tailed Recognition Baseline via Vision-Language Model	47.90	2021-11-29	📦 gaopengcuhk/ballad
9	RAC (ViT-B-16)	Retrieval Augmented Classification for Long-Tail Visual Recognition	47.17	2022-02-22	-
10	BALLAD(ResNet-50)	A Simple Long-Tailed Recognition Baseline via Vision-Language Model	46.50	2021-11-29	📦 gaopengcuhk/ballad

All Papers (28)

Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts

2023

LIFT (ViT-L/14)

shijxcs/lift

Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts

2023

LIFT (ViT-B/16)

shijxcs/lift

Improving Image Recognition by Retrieving from Web-Scale Image-Text Data

2023

MAM (ViT-B/16)

VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition

2021

VL-LTR (ViT-B-16)

ChangyaoTian/VL-LTR

A Simple Long-Tailed Recognition Baseline via Vision-Language Model

2021

BALLAD(ViT-B-16)

gaopengcuhk/ballad

A Simple Long-Tailed Recognition Baseline via Vision-Language Model

2021

BALLAD(ResNet-50×16)

gaopengcuhk/ballad

VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition

2021

VL-LTR (ResNet-50)

ChangyaoTian/VL-LTR

A Simple Long-Tailed Recognition Baseline via Vision-Language Model

2021

BALLAD(ResNet-101)

gaopengcuhk/ballad

Retrieval Augmented Classification for Long-Tail Visual Recognition

2022

RAC (ViT-B-16)

A Simple Long-Tailed Recognition Baseline via Vision-Language Model

2021

BALLAD(ResNet-50)

gaopengcuhk/ballad

Adaptive Parametric Activation

2024

APA (SE-ResNet-50)

kostas1515/aglu

Difficulty-Net: Learning to Predict Difficulty for Long-Tailed Recognition

2022

Difficulty-Net (ResNet-152)

hitachi-rd-cv/Difficulty_Net

Generalized Parametric Contrastive Learning

2022

GPaCo (ResNet-152)

dvlab-research/parametric-contrastive-learning jiequancui/Parametric-Contrastive-Learning

Nested Collaborative Learning for Long-Tailed Visual Recognition

2022

NCL(ResNet-152)

bazinga699/ncl

Parametric Contrastive Learning

2021

PaCo

dvlab-research/parametric-contrastive-learning jiequancui/Parametric-Contrastive-Learning

Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition

2021

TADE

vanint/sade-agnosticlt Vanint/TADE-AgnosticLT

Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images

2021

OPeN (ResNet-152)

shiranzada/pure-noise

RSG: A Simple but Effective Module for Learning Imbalanced Datasets

2021

LDAM-DRS-RSG

Jianf-Wang/RSG

Distribution Alignment: A Unified Framework for Long-tail Visual Recognition

2021

DisAlign

Megvii-BaseDetection/DisAlign

Long-Tailed Recognition Using Class-Balanced Experts

2020

CBExperts

ssfootball04/class-balanced-experts

Disentangling Label Distribution for Long-tailed Visual Recognition

2020

LADE

hyperconnect/LADE beierzhu/xerm

Balanced Meta-Softmax for Long-Tailed Visual Recognition

2020

BALMS

jiawei-ren/BalancedMetaSoftmax

From Generalized zero-shot learning to long-tail with class descriptors

2020

smDRAGON

dvirsamuel/DRAGON

Decoupling Representation and Classifier for Long-Tailed Recognition

2019

CB LWS

facebookresearch/classifier-balancing jackhck/subclass-balancing-contrastive-learning

Feature Space Augmentation for Long-Tailed Data

2020

Online Feature Augmentation

Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification

2020

LFME + OLTR

xiangly55/LFME

Large-Scale Long-Tailed Recognition in an Open World

2019

OLTR

zhmiao/OpenLongTailRecognition-OLTR silicx/dlsa

Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective

2020

Domain Adaptation

abdullahjamal/Longtail_DA

Model	Paper	Top-1 Accuracy	Date
LIFT (ViT-L/14)	Long-Tail Learning with Foundation Model: Heavy F…	53.70	2023-09-18
LIFT (ViT-B/16)	Long-Tail Learning with Foundation Model: Heavy F…	52.20	2023-09-18
MAM (ViT-B/16)	Improving Image Recognition by Retrieving from We…	51.40	2023-04-11
VL-LTR (ViT-B-16)	VL-LTR: Learning Class-wise Visual-Linguistic Rep…	50.10	2021-11-26
BALLAD(ViT-B-16)	A Simple Long-Tailed Recognition Baseline via Vis…	49.50	2021-11-29
BALLAD(ResNet-50×16)	A Simple Long-Tailed Recognition Baseline via Vis…	49.30	2021-11-29
VL-LTR (ResNet-50)	VL-LTR: Learning Class-wise Visual-Linguistic Rep…	48.00	2021-11-26
BALLAD(ResNet-101)	A Simple Long-Tailed Recognition Baseline via Vis…	47.90	2021-11-29
RAC (ViT-B-16)	Retrieval Augmented Classification for Long-Tail …	47.17	2022-02-22
BALLAD(ResNet-50)	A Simple Long-Tailed Recognition Baseline via Vis…	46.50	2021-11-29
APA (SE-ResNet-50)	Adaptive Parametric Activation	42.00	2024-07-11
Difficulty-Net (ResNet-152)	Difficulty-Net: Learning to Predict Difficulty fo…	41.70	2022-09-07
GPaCo (ResNet-152)	Generalized Parametric Contrastive Learning	41.70	2022-09-26
NCL(ResNet-152)	Nested Collaborative Learning for Long-Tailed Vis…	41.50	2022-03-29
PaCo	Parametric Contrastive Learning	41.20	2021-07-26
TADE	Self-Supervised Aggregation of Diverse Experts fo…	40.90	2021-07-20
OPeN (ResNet-152)	Pure Noise to the Rescue of Insufficient Data: Im…	40.50	2021-12-16
LDAM-DRS-RSG	RSG: A Simple but Effective Module for Learning I…	39.30	2021-06-18
DisAlign	Distribution Alignment: A Unified Framework for L…	39.30	2021-03-30
CBExperts	Long-Tailed Recognition Using Class-Balanced Expe…	38.90	2020-04-07
LADE	Disentangling Label Distribution for Long-tailed …	38.80	2020-12-01
BALMS	Balanced Meta-Softmax for Long-Tailed Visual Reco…	38.70	2020-07-21
smDRAGON	From Generalized zero-shot learning to long-tail …	38.10	2020-04-05
CB LWS	Decoupling Representation and Classifier for Long…	37.60	2019-10-21
Online Feature Augmentation	Feature Space Augmentation for Long-Tailed Data	36.40	2020-08-09
LFME + OLTR	Learning From Multiple Experts: Self-paced Knowle…	36.20	2020-01-06
OLTR	Large-Scale Long-Tailed Recognition in an Open Wo…	34.10	2019-04-10
Domain Adaptation	Rethinking Class-Balanced Methods for Long-Tailed…	30.80	2020-03-24

Places-LT

Performance Over Time

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Top Performing Models

All Papers (28)

Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts

Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts

Improving Image Recognition by Retrieving from Web-Scale Image-Text Data

VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition

A Simple Long-Tailed Recognition Baseline via Vision-Language Model

A Simple Long-Tailed Recognition Baseline via Vision-Language Model

VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition

A Simple Long-Tailed Recognition Baseline via Vision-Language Model

Retrieval Augmented Classification for Long-Tail Visual Recognition

A Simple Long-Tailed Recognition Baseline via Vision-Language Model

Adaptive Parametric Activation

Difficulty-Net: Learning to Predict Difficulty for Long-Tailed Recognition

Generalized Parametric Contrastive Learning

Nested Collaborative Learning for Long-Tailed Visual Recognition

Parametric Contrastive Learning

Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition

Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images

RSG: A Simple but Effective Module for Learning Imbalanced Datasets

Distribution Alignment: A Unified Framework for Long-tail Visual Recognition

Long-Tailed Recognition Using Class-Balanced Experts

Disentangling Label Distribution for Long-tailed Visual Recognition

Balanced Meta-Softmax for Long-Tailed Visual Recognition

From Generalized zero-shot learning to long-tail with class descriptors

Decoupling Representation and Classifier for Long-Tailed Recognition

Feature Space Augmentation for Long-Tailed Data

Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification

Large-Scale Long-Tailed Recognition in an Open World

Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective