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Large-Scale Long-Tailed Recognition in an Open World

Large-Scale Long-Tailed Recognition in an Open World

10 April 2019
Ziwei Liu
Zhongqi Miao
Xiaohang Zhan
Jiayun Wang
Boqing Gong
Stella X. Yu
ArXivPDFHTML

Papers citing "Large-Scale Long-Tailed Recognition in an Open World"

50 / 636 papers shown
Title
ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning
ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning
Enhao Zhang
Chaohua Li
Chuanxing Geng
Songcan Chen
56
0
0
08 May 2025
Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification
Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification
Sicong Li
Qianqian Xu
Zhiyong Yang
Zitai Wang
L. Zhang
Xiaochun Cao
Q. Huang
67
0
0
03 May 2025
LIFT+: Lightweight Fine-Tuning for Long-Tail Learning
LIFT+: Lightweight Fine-Tuning for Long-Tail Learning
Jiang-Xin Shi
Tong Wei
Yu-Feng Li
32
0
0
17 Apr 2025
Enhancing Features in Long-tailed Data Using Large Vision Model
Enhancing Features in Long-tailed Data Using Large Vision Model
Pengxiao Han
Changkun Ye
Jinguang Tong
Cuicui Jiang
Jie Hong
Li Fang
Xuesong Li
VLM
31
0
0
15 Apr 2025
Efficient Self-Supervised Learning for Earth Observation via Dynamic Dataset Curation
Efficient Self-Supervised Learning for Earth Observation via Dynamic Dataset Curation
Thomas Kerdreux
A. Tuel
Quentin Febvre
A. Mouche
Bertrand Chapron
73
0
0
09 Apr 2025
TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection
TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection
Yoon Gyo Jung
Jaewoo Park
Jaeho Yoon
Kuan-Chuan Peng
Wonchul Kim
Andrew Beng Jin Teoh
Octavia Camps
46
0
0
03 Apr 2025
A New Benchmark for Few-Shot Class-Incremental Learning: Redefining the Upper Bound
Shiwon Kim
Dongjun Hwang
Sungwon Woo
Rita Singh
CLL
52
0
0
13 Mar 2025
CAPT: Class-Aware Prompt Tuning for Federated Long-Tailed Learning with Vision-Language Model
Shihao Hou
Xinyi Shang
Shreyank N Gowda
Yang Lu
Chao-Xiang Wu
Yan Yan
Hanzi Wang
VLM
50
0
0
10 Mar 2025
A Good Start Matters: Enhancing Continual Learning with Data-Driven Weight Initialization
Md Yousuf Harun
Christopher Kanan
AI4CE
48
0
0
09 Mar 2025
TAET: Two-Stage Adversarial Equalization Training on Long-Tailed Distributions
TAET: Two-Stage Adversarial Equalization Training on Long-Tailed Distributions
Wang YuHang
Junkang Guo
Aolei Liu
Kaihao Wang
Zaitong Wu
Zhenyu Liu
Wenfei Yin
Jian Liu
AAML
48
0
0
02 Mar 2025
The PanAf-FGBG Dataset: Understanding the Impact of Backgrounds in Wildlife Behaviour Recognition
The PanAf-FGBG Dataset: Understanding the Impact of Backgrounds in Wildlife Behaviour Recognition
Otto Brookes
Maksim Kukushkin
Majid Mirmehdi
Colleen Stephens
Paula Dieguez
...
Lukas Boesch
Thomas Schmid
M. Arandjelovic
H. Kühl
T. Burghardt
46
0
0
28 Feb 2025
UIFace: Unleashing Inherent Model Capabilities to Enhance Intra-Class Diversity in Synthetic Face Recognition
UIFace: Unleashing Inherent Model Capabilities to Enhance Intra-Class Diversity in Synthetic Face Recognition
Xiao Lin
Y. Huang
Jianqing Xu
Yuxi Mi
Shuigeng Zhou
Shouhong Ding
67
0
0
27 Feb 2025
Balanced Representation Learning for Long-tailed Skeleton-based Action Recognition
Balanced Representation Learning for Long-tailed Skeleton-based Action Recognition
Hongda Liu
Yunlong Wang
Min Ren
Junxing Hu
Zhengquan Luo
Guangqi Hou
Zhe Sun
48
0
0
24 Feb 2025
Differentially Private Prototypes for Imbalanced Transfer Learning
Differentially Private Prototypes for Imbalanced Transfer Learning
Dariush Wahdany
Matthew Jagielski
Adam Dziedzic
Franziska Boenisch
85
0
0
17 Feb 2025
Rethinking the Bias of Foundation Model under Long-tailed Distribution
Rethinking the Bias of Foundation Model under Long-tailed Distribution
Jiahao Chen
Bin Qin
Jiangmeng Li
Hao Chen
Bing-Huang Su
82
0
0
27 Jan 2025
Making Reliable and Flexible Decisions in Long-tailed Classification
Making Reliable and Flexible Decisions in Long-tailed Classification
Bolian Li
Ruqi Zhang
143
0
0
23 Jan 2025
Enhancing Robust Fairness via Confusional Spectral Regularization
Enhancing Robust Fairness via Confusional Spectral Regularization
Gaojie Jin
Sihao Wu
Jiaxu Liu
Tianjin Huang
Ronghui Mu
74
1
0
22 Jan 2025
Normalizing Batch Normalization for Long-Tailed Recognition
Yuxiang Bao
Guoliang Kang
Linlin Yang
Xiaoyue Duan
Bo Zhao
Baochang Zhang
MQ
47
0
0
06 Jan 2025
M-Tuning: Prompt Tuning with Mitigated Label Bias in Open-Set Scenarios
M-Tuning: Prompt Tuning with Mitigated Label Bias in Open-Set Scenarios
Ning Liao
Xiaopeng Zhang
Minglu Cao
Junchi Yan
VPVLM
VLM
63
0
0
31 Dec 2024
Prior2Posterior: Model Prior Correction for Long-Tailed Learning
Prior2Posterior: Model Prior Correction for Long-Tailed Learning
S Divakar Bhat
Amit More
Mudit Soni
Surbhi Agrawal
74
0
0
21 Dec 2024
DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level
  Vision-Language Alignment
DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language Alignment
Cijo Jose
Théo Moutakanni
Dahyun Kang
Federico Baldassarre
Timothée Darcet
...
Maxime Oquab
Oriane Siméoni
Huy V. Vo
Patrick Labatut
Piotr Bojanowski
CLIP
VLM
94
6
0
20 Dec 2024
Difficulty-aware Balancing Margin Loss for Long-tailed Recognition
Difficulty-aware Balancing Margin Loss for Long-tailed Recognition
Minseok Son
Inyong Koo
Jinyoung Park
Changick Kim
73
0
0
20 Dec 2024
SSE-SAM: Balancing Head and Tail Classes Gradually through Stage-Wise
  SAM
SSE-SAM: Balancing Head and Tail Classes Gradually through Stage-Wise SAM
Xingyu Lyu
Qianqian Xu
Zhiyong Yang
Shaojie Lyu
Qingming Huang
74
0
0
18 Dec 2024
Generating Out-Of-Distribution Scenarios Using Language Models
Generating Out-Of-Distribution Scenarios Using Language Models
Erfan Aasi
Phat Nguyen
Shiva Sreeram
Guy Rosman
S. Karaman
Daniela Rus
OODD
81
4
0
25 Nov 2024
Harnessing Superclasses for Learning from Hierarchical Databases
Harnessing Superclasses for Learning from Hierarchical Databases
Nicolas Urbani
Sylvain Rousseau
Yves Grandvalet
Leonardo Tanzi
63
1
0
25 Nov 2024
Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint
Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint
Guangkun Nie
Gongzheng Tang
Shenda Hong
82
0
0
20 Nov 2024
Deep Active Learning in the Open World
Deep Active Learning in the Open World
Tian Xie
Jifan Zhang
Haoyue Bai
R. Nowak
VLM
137
1
0
10 Nov 2024
Dynamic Uncertainty Ranking: Enhancing Retrieval-Augmented In-Context Learning for Long-Tail Knowledge in LLMs
Dynamic Uncertainty Ranking: Enhancing Retrieval-Augmented In-Context Learning for Long-Tail Knowledge in LLMs
Shuyang Yu
Runxue Bao
Parminder Bhatia
Taha A. Kass-Hout
Jiayu Zhou
Cao Xiao
37
1
0
31 Oct 2024
Dataset Awareness is not Enough: Implementing Sample-level Tail
  Encouragement in Long-tailed Self-supervised Learning
Dataset Awareness is not Enough: Implementing Sample-level Tail Encouragement in Long-tailed Self-supervised Learning
Haowen Xiao
Guanghui Liu
Xinyi Gao
Yang Li
Fengmao Lv
Jielei Chu
23
0
0
30 Oct 2024
Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for
  Long-Tailed Visual Recognition
Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition
Mengke Li
Y. Liu
Yang Lu
Yiqun Zhang
Yiu-ming Cheung
Hui Huang
VLM
33
2
0
28 Oct 2024
Long-Tailed Out-of-Distribution Detection via Normalized Outlier
  Distribution Adaptation
Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution Adaptation
Wenjun Miao
Guansong Pang
Jin Zheng
Xiao Bai
OODD
38
1
0
28 Oct 2024
Granularity Matters in Long-Tail Learning
Granularity Matters in Long-Tail Learning
Shizhen Zhao
Xin Wen
J. Liu
Chuofan Ma
C. Yuan
Xiaojuan Qi
29
0
0
21 Oct 2024
Optimizing importance weighting in the presence of sub-population shifts
Optimizing importance weighting in the presence of sub-population shifts
Floris Holstege
Bram Wouters
Noud van Giersbergen
C. Diks
24
0
0
18 Oct 2024
Shape Transformation Driven by Active Contour for Class-Imbalanced
  Semi-Supervised Medical Image Segmentation
Shape Transformation Driven by Active Contour for Class-Imbalanced Semi-Supervised Medical Image Segmentation
Yuliang Gu
Yepeng Liu
Zhichao Sun
Jinchi Zhu
Yongchao Xu
L. Najman
MedIm
26
1
0
18 Oct 2024
Diffusion Curriculum: Synthetic-to-Real Generative Curriculum Learning
  via Image-Guided Diffusion
Diffusion Curriculum: Synthetic-to-Real Generative Curriculum Learning via Image-Guided Diffusion
Yijun Liang
Shweta Bhardwaj
Tianyi Zhou
31
0
0
17 Oct 2024
Consistency Calibration: Improving Uncertainty Calibration via
  Consistency among Perturbed Neighbors
Consistency Calibration: Improving Uncertainty Calibration via Consistency among Perturbed Neighbors
Linwei Tao
Haolan Guo
Minjing Dong
Chang Xu
UQCV
AAML
13
2
0
16 Oct 2024
CtrlSynth: Controllable Image Text Synthesis for Data-Efficient
  Multimodal Learning
CtrlSynth: Controllable Image Text Synthesis for Data-Efficient Multimodal Learning
Qingqing Cao
Mahyar Najibi
Sachin Mehta
CLIP
DiffM
32
1
0
15 Oct 2024
Fractal Calibration for long-tailed object detection
Fractal Calibration for long-tailed object detection
Konstantinos Panagiotis Alexandridis
Ismail Elezi
Jiankang Deng
Anh H. Nguyen
Shan Luo
114
0
0
15 Oct 2024
Continuous Contrastive Learning for Long-Tailed Semi-Supervised
  Recognition
Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition
Zi-Hao Zhou
Siyuan Fang
Zi-Jing Zhou
Tong Wei
Yuanyu Wan
Min-Ling Zhang
26
1
0
08 Oct 2024
Learning De-Biased Representations for Remote-Sensing Imagery
Learning De-Biased Representations for Remote-Sensing Imagery
Zichen Tian
Zhaozheng Chen
Qianru Sun
26
0
0
06 Oct 2024
Adjusting Pretrained Backbones for Performativity
Adjusting Pretrained Backbones for Performativity
Berker Demirel
Lingjing Kong
Kun Zhang
Theofanis Karaletsos
Celestine Mendler-Dünner
Francesco Locatello
KELM
19
0
0
06 Oct 2024
Taming the Tail: Leveraging Asymmetric Loss and Pade Approximation to
  Overcome Medical Image Long-Tailed Class Imbalance
Taming the Tail: Leveraging Asymmetric Loss and Pade Approximation to Overcome Medical Image Long-Tailed Class Imbalance
Pankhi Kashyap
Pavni Tandon
Sunny Gupta
Abhishek Tiwari
Ritwik Kulkarni
Kshitij Sharad Jadhav
32
1
0
05 Oct 2024
MONICA: Benchmarking on Long-tailed Medical Image Classification
MONICA: Benchmarking on Long-tailed Medical Image Classification
Lie Ju
Siyuan Yan
Yukun Zhou
Yang Nan
Xiaodan Xing
Peibo Duan
Zongyuan Ge
52
0
0
02 Oct 2024
Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment
Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment
Naoya Hasegawa
Issei Sato
36
0
0
26 Sep 2024
VLMine: Long-Tail Data Mining with Vision Language Models
VLMine: Long-Tail Data Mining with Vision Language Models
Mao Ye
Gregory P. Meyer
Zaiwei Zhang
Dennis Park
Siva Karthik Mustikovela
Yuning Chai
Eric M. Wolff
VLM
31
1
0
23 Sep 2024
Anisotropic Diffusion Probabilistic Model for Imbalanced Image
  Classification
Anisotropic Diffusion Probabilistic Model for Imbalanced Image Classification
Jingyu Kong
Yuan Guo
Yu Wang
Yuping Duan
DiffM
MedIm
31
0
0
22 Sep 2024
Recent Advances in OOD Detection: Problems and Approaches
Recent Advances in OOD Detection: Problems and Approaches
Shuo Lu
YingSheng Wang
Lijun Sheng
Aihua Zheng
Lingxiao He
Jian Liang
OODD
64
3
0
18 Sep 2024
LPT++: Efficient Training on Mixture of Long-tailed Experts
LPT++: Efficient Training on Mixture of Long-tailed Experts
Bowen Dong
Pan Zhou
W. Zuo
VLM
34
0
0
17 Sep 2024
From Uncertainty to Clarity: Uncertainty-Guided Class-Incremental
  Learning for Limited Biomedical Samples via Semantic Expansion
From Uncertainty to Clarity: Uncertainty-Guided Class-Incremental Learning for Limited Biomedical Samples via Semantic Expansion
Yifei Yao
Hanrong Zhang
39
1
0
12 Sep 2024
Adaptive Adapter Routing for Long-Tailed Class-Incremental Learning
Adaptive Adapter Routing for Long-Tailed Class-Incremental Learning
Zhi-Hong Qi
Da-Wei Zhou
Yiran Yao
Han-Jia Ye
De-Chuan Zhan
CLL
40
5
0
11 Sep 2024
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