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FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed
  Instance Segmentation
v1v2 (latest)

FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance Segmentation

IEEE International Conference on Computer Vision (ICCV), 2021
25 February 2021
Yuhang Zang
Chen Huang
Chen Change Loy
ArXiv (abs)PDFHTML

Papers citing "FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance Segmentation"

50 / 72 papers shown
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Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation
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140
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Divide, Weight, and Route: Difficulty-Aware Optimization with Dynamic Expert Fusion for Long-tailed Recognition
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Yi Ouyang
Haibo Ye
MoMe
206
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27 Aug 2025
Generative Active Learning for Long-tail Trajectory Prediction via Controllable Diffusion Model
Generative Active Learning for Long-tail Trajectory Prediction via Controllable Diffusion Model
Daehee Park
Monu Surana
Pranav Desai
Ashish Mehta
Reuben MV John
Kuk-Jin Yoon
263
5
0
30 Jul 2025
Group Relative Augmentation for Data Efficient Action Detection
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Iain Melvin
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Martin Renqiang Min
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198
0
0
28 Jul 2025
Compositional Attribute Imbalance in Vision Datasets
Compositional Attribute Imbalance in Vision Datasets
Jiayi Chen
Yanbiao Ma
Andi Zhang
Weidong Tang
Wei-Ming Dai
Bowei Liu
CoGe
279
1
0
17 Jun 2025
Hyperbolic Dual Feature Augmentation for Open-Environment
Peilin Yu
Yuwei Wu
Zhi Gao
Xiaomeng Fan
Shuo Yang
Yunde Jia
296
1
0
10 Jun 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
683
1
0
15 Apr 2025
Classifying Long-tailed and Label-noise Data via Disentangling and Unlearning
Classifying Long-tailed and Label-noise Data via Disentangling and Unlearning
Chen Shu
Mengke Li
Yiqun Zhang
Yang Lu
Bo Han
Yiu-ming Cheung
Hanzi Wang
NoLa
353
0
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14 Mar 2025
Conformal-in-the-Loop for Learning with Imbalanced Noisy Data
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Jamil Fayyad
Nourhan Bayasi
Patricia Lasserre
Homayoun Najjaran
528
0
0
04 Nov 2024
Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for
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Mengke Li
Yong Liu
Yang Lu
Yiqun Zhang
Yiu-ming Cheung
Hui Huang
VLM
222
18
0
28 Oct 2024
Fractal Calibration for long-tailed object detection
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Konstantinos Panagiotis Alexandridis
Ismail Elezi
Jiankang Deng
Anh H. Nguyen
Shan Luo
1.1K
5
0
15 Oct 2024
Training Over a Distribution of Hyperparameters for Enhanced Performance
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Training Over a Distribution of Hyperparameters for Enhanced Performance and Adaptability on Imbalanced Classification
Kelsey Lieberman
Swarna Kamlam Ravindran
Shuai Yuan
Carlo Tomasi
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294
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0
04 Oct 2024
FedLF: Adaptive Logit Adjustment and Feature Optimization in Federated
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FedLF: Adaptive Logit Adjustment and Feature Optimization in Federated Long-Tailed LearningAsian Conference on Machine Learning (ACML), 2024
Xiuhua Lu
Peng Li
Xuefeng Jiang
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299
5
0
18 Sep 2024
Covariance-corrected Whitening Alleviates Network Degeneration on
  Imbalanced Classification
Covariance-corrected Whitening Alleviates Network Degeneration on Imbalanced Classification
Zhiwei Zhang
232
1
0
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VLM-KD: Knowledge Distillation from VLM for Long-Tail Visual Recognition
VLM-KD: Knowledge Distillation from VLM for Long-Tail Visual Recognition
Zaiwei Zhang
Gregory P. Meyer
Zhichao Lu
Ashish Shrivastava
Avinash Ravichandran
Eric M. Wolff
VLM
312
6
0
29 Aug 2024
Personalized Federated Learning on Heterogeneous and Long-Tailed Data
  via Expert Collaborative Learning
Personalized Federated Learning on Heterogeneous and Long-Tailed Data via Expert Collaborative Learning
Fengling Lv
Xinyi Shang
Yang Zhou
Yiqun Zhang
Mengke Li
Yang Lu
FedML
333
1
0
04 Aug 2024
A Systematic Review on Long-Tailed Learning
A Systematic Review on Long-Tailed LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
Chongsheng Zhang
G. Almpanidis
Gaojuan Fan
Binquan Deng
Yanbo Zhang
Ji Liu
Aouaidjia Kamel
Paolo Soda
Joao Gama
525
40
0
01 Aug 2024
Revisiting the Disequilibrium Issues in Tackling Heart Disease
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Revisiting the Disequilibrium Issues in Tackling Heart Disease Classification Tasks
Thao Hoang
Linh Nguyen
Khoi Do
Duong Nguyen
Viet Dung Nguyen
260
2
0
19 Jul 2024
Adaptive Parametric Activation: Unifying and Generalising Activation Functions Across Tasks
Adaptive Parametric Activation: Unifying and Generalising Activation Functions Across TasksEuropean Conference on Computer Vision (ECCV), 2024
Konstantinos Panagiotis Alexandridis
Jiankang Deng
A. Nguyen
Shan Luo
416
11
0
11 Jul 2024
Imbalanced Graph Classification with Multi-scale Oversampling Graph
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Imbalanced Graph Classification with Multi-scale Oversampling Graph Neural Networks
Rongrong Ma
Guansong Pang
Ling-Hao Chen
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273
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0
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PAT: Pixel-wise Adaptive Training for Long-tailed Segmentation
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301
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Latent-based Diffusion Model for Long-tailed Recognition
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Jing Zhang
Jie Hong
Xuesong Li
346
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Decoupled Federated Learning on Long-Tailed and Non-IID data with
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Decoupled Federated Learning on Long-Tailed and Non-IID data with Feature StatisticsIEEE International Conference on Multimedia and Expo (ICME), 2024
Zhuoxin Chen
Zhenyu Wu
Yang Ji
FedML
169
3
0
13 Mar 2024
Class Imbalance in Object Detection: An Experimental Diagnosis and Study
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Class Imbalance in Object Detection: An Experimental Diagnosis and Study of Mitigation Strategies
Nieves Crasto
ObjD
262
21
0
11 Mar 2024
Probabilistic Contrastive Learning for Long-Tailed Visual Recognition
Probabilistic Contrastive Learning for Long-Tailed Visual RecognitionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Chaoqun Du
Yulin Wang
Shiji Song
Gao Huang
311
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0
11 Mar 2024
Delving into the Trajectory Long-tail Distribution for Muti-object
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Delving into the Trajectory Long-tail Distribution for Muti-object TrackingComputer Vision and Pattern Recognition (CVPR), 2024
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396
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Addressing Long-Tail Noisy Label Learning Problems: a Two-Stage Solution
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Addressing Long-Tail Noisy Label Learning Problems: a Two-Stage Solution with Label Refurbishment Considering Label Rarity
Ying-Hsuan Wu
Jun-Wei Hsieh
Li Xin
Shin-You Teng
Yi-Kuan Hsieh
Ming-Ching Chang
NoLa
436
0
0
04 Mar 2024
Optimizing for ROC Curves on Class-Imbalanced Data by Training over a
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Optimizing for ROC Curves on Class-Imbalanced Data by Training over a Family of Loss Functions
Kelsey Lieberman
Shuai Yuan
Swarna Kamlam Ravindran
Carlo Tomasi
392
2
0
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Geometric Prior Guided Feature Representation Learning for Long-Tailed
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Geometric Prior Guided Feature Representation Learning for Long-Tailed ClassificationInternational Journal of Computer Vision (IJCV), 2024
Yanbiao Ma
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Shuyuan Yang
Xu Liu
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253
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Data-Centric Long-Tailed Image Recognition
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Yanbiao Ma
Licheng Jiao
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Puhua Chen
401
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How Re-sampling Helps for Long-Tail Learning?
How Re-sampling Helps for Long-Tail Learning?Neural Information Processing Systems (NeurIPS), 2023
Jiang-Xin Shi
Tong Wei
Yuke Xiang
Yu-Feng Li
370
67
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Data Optimization in Deep Learning: A Survey
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Ou Wu
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Orthogonal Uncertainty Representation of Data Manifold for Robust
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Wei Li
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358
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Dual Compensation Residual Networks for Class Imbalanced Learning
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Robust Asymmetric Loss for Multi-Label Long-Tailed Learning
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Balanced Classification: A Unified Framework for Long-Tailed Object
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Balancing Logit Variation for Long-tailed Semantic Segmentation
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