Unsupervised Contrastive Learning Using Out-Of-Distribution Data for Long-Tailed Dataset
Fuente:
arXiv
Saved in:
| Main Authors: | Hoang, Cuong Manh, Lee, Yeejin, Kang, Byeongkeun |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Generalized Class Discovery in Instance Segmentation
by: Hoang, Cuong Manh, et al.
Published: (2025)
by: Hoang, Cuong Manh, et al.
Published: (2025)
Enhancing Long-Term Person Re-Identification Using Global, Local Body Part, and Head Streams
by: Thanh, Duy Tran, et al.
Published: (2024)
by: Thanh, Duy Tran, et al.
Published: (2024)
Long-Tailed Learning for Generalized Category Discovery
by: Hoang, Cuong Manh
Published: (2025)
by: Hoang, Cuong Manh
Published: (2025)
Improving Weakly-Supervised Object Localization Using Adversarial Erasing and Pseudo Label
by: Kang, Byeongkeun, et al.
Published: (2024)
by: Kang, Byeongkeun, et al.
Published: (2024)
Unsupervised Instance Segmentation with Superpixels
by: Hoang, Cuong Manh
Published: (2025)
by: Hoang, Cuong Manh
Published: (2025)
Generalized Zero-Shot Learning for Point Cloud Segmentation with Evidence-Based Dynamic Calibration
by: Kim, Hyeonseok, et al.
Published: (2025)
by: Kim, Hyeonseok, et al.
Published: (2025)
UNCAGE: Contrastive Attention Guidance for Masked Generative Transformers in Text-to-Image Generation
by: Kang, Wonjun, et al.
Published: (2025)
by: Kang, Wonjun, et al.
Published: (2025)
Distribution-Aware Robust Learning from Long-Tailed Data with Noisy Labels
by: Baik, Jae Soon, et al.
Published: (2024)
by: Baik, Jae Soon, et al.
Published: (2024)
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection
by: Doorenbos, Lars, et al.
Published: (2024)
by: Doorenbos, Lars, et al.
Published: (2024)
Safe Semi-Supervised Contrastive Learning Using In-Distribution Data as Positive Examples
by: Kwak, Min Gu, et al.
Published: (2024)
by: Kwak, Min Gu, et al.
Published: (2024)
Virtual Fusion with Contrastive Learning for Single Sensor-based Activity Recognition
by: Nguyen, Duc-Anh, et al.
Published: (2023)
by: Nguyen, Duc-Anh, et al.
Published: (2023)
DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets
by: Rangwani, Harsh, et al.
Published: (2024)
by: Rangwani, Harsh, et al.
Published: (2024)
Completely Weakly Supervised Class-Incremental Learning for Semantic Segmentation
by: Kim, David Minkwan, et al.
Published: (2025)
by: Kim, David Minkwan, et al.
Published: (2025)
Heavy-Tailed Class-Conditional Priors for Long-Tailed Generative Modeling
by: Bouayed, Aymene Mohammed, et al.
Published: (2025)
by: Bouayed, Aymene Mohammed, et al.
Published: (2025)
Long-Tailed Backdoor Attack Using Dynamic Data Augmentation Operations
by: Pang, Lu, et al.
Published: (2024)
by: Pang, Lu, et al.
Published: (2024)
A Systematic Review on Long-Tailed Learning
by: Zhang, Chongsheng, et al.
Published: (2024)
by: Zhang, Chongsheng, et al.
Published: (2024)
Concept Matching with Agent for Out-of-Distribution Detection
by: Lee, Yuxiao, et al.
Published: (2024)
by: Lee, Yuxiao, et al.
Published: (2024)
Improving Long-Tailed Object Detection with Balanced Group Softmax and Metric Learning
by: Gaba, Satyam
Published: (2025)
by: Gaba, Satyam
Published: (2025)
Class Confidence Aware Reweighting for Long Tailed Learning
by: Jagati, Brainard Philemon, et al.
Published: (2026)
by: Jagati, Brainard Philemon, et al.
Published: (2026)
Learning Multi-Manifold Embedding for Out-Of-Distribution Detection
by: Li, Jeng-Lin, et al.
Published: (2024)
by: Li, Jeng-Lin, et al.
Published: (2024)
Buffer-free Class-Incremental Learning with Out-of-Distribution Detection
by: Gupta, Srishti, et al.
Published: (2025)
by: Gupta, Srishti, et al.
Published: (2025)
What Variables Affect Out-of-Distribution Generalization in Pretrained Models?
by: Harun, Md Yousuf, et al.
Published: (2024)
by: Harun, Md Yousuf, et al.
Published: (2024)
Prior-free Balanced Replay: Uncertainty-guided Reservoir Sampling for Long-Tailed Continual Learning
by: Liu, Lei, et al.
Published: (2024)
by: Liu, Lei, et al.
Published: (2024)
Implicit Contrastive Representation Learning with Guided Stop-gradient
by: Lee, Byeongchan, et al.
Published: (2025)
by: Lee, Byeongchan, et al.
Published: (2025)
Long-Tailed Out-of-Distribution Detection with Refined Separate Class Learning
by: Feng, Shuai, et al.
Published: (2025)
by: Feng, Shuai, et al.
Published: (2025)
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
by: Bai, Yichen, et al.
Published: (2023)
by: Bai, Yichen, et al.
Published: (2023)
Logit Scaling for Out-of-Distribution Detection
by: Djurisic, Andrija, et al.
Published: (2024)
by: Djurisic, Andrija, et al.
Published: (2024)
Towards Robust Out-of-Distribution Generalization: Data Augmentation and Neural Architecture Search Approaches
by: Bai, Haoyue
Published: (2024)
by: Bai, Haoyue
Published: (2024)
Understanding-Enhanced Model Collaboration for Long-Tailed Egocentric Mistake Detection
by: Han, Boyu, et al.
Published: (2026)
by: Han, Boyu, et al.
Published: (2026)
On the Effectiveness of Supervision in Asymmetric Non-Contrastive Learning
by: Oh, Jeongheon, et al.
Published: (2024)
by: Oh, Jeongheon, et al.
Published: (2024)
Improving Multi-Label Contrastive Learning by Leveraging Label Distribution
by: Chen, Ning, et al.
Published: (2025)
by: Chen, Ning, et al.
Published: (2025)
Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor
by: Yu, Hao, et al.
Published: (2024)
by: Yu, Hao, et al.
Published: (2024)
eXplaining to Learn (eX2L): Regularization Using Contrastive Visual Explanation Pairs for Distribution Shifts
by: Medina, Paulo Mario P., et al.
Published: (2026)
by: Medina, Paulo Mario P., et al.
Published: (2026)
Generalized Out-of-Distribution Detection: A Survey
by: Yang, Jingkang, et al.
Published: (2021)
by: Yang, Jingkang, et al.
Published: (2021)
Dual-Stage Reweighted MoE for Long-Tailed Egocentric Mistake Detection
by: Han, Boyu, et al.
Published: (2025)
by: Han, Boyu, et al.
Published: (2025)
PA-Net: Precipitation-Adaptive Mixture-of-Experts for Long-Tail Rainfall Nowcasting
by: Xiao, Xinyu, et al.
Published: (2026)
by: Xiao, Xinyu, et al.
Published: (2026)
MSTA3D: Multi-scale Twin-attention for 3D Instance Segmentation
by: Tran, Duc Dang Trung, et al.
Published: (2024)
by: Tran, Duc Dang Trung, et al.
Published: (2024)
Prompt Optimization Meets Subspace Representation Learning for Few-shot Out-of-Distribution Detection
by: Sayem, Faizul Rakib, et al.
Published: (2025)
by: Sayem, Faizul Rakib, et al.
Published: (2025)
Do Generated Data Always Help Contrastive Learning?
by: Wang, Yifei, et al.
Published: (2024)
by: Wang, Yifei, et al.
Published: (2024)
Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection
by: Cheng, Qisen, et al.
Published: (2025)
by: Cheng, Qisen, et al.
Published: (2025)
Similar Items
-
Generalized Class Discovery in Instance Segmentation
by: Hoang, Cuong Manh, et al.
Published: (2025) -
Enhancing Long-Term Person Re-Identification Using Global, Local Body Part, and Head Streams
by: Thanh, Duy Tran, et al.
Published: (2024) -
Long-Tailed Learning for Generalized Category Discovery
by: Hoang, Cuong Manh
Published: (2025) -
Improving Weakly-Supervised Object Localization Using Adversarial Erasing and Pseudo Label
by: Kang, Byeongkeun, et al.
Published: (2024) -
Unsupervised Instance Segmentation with Superpixels
by: Hoang, Cuong Manh
Published: (2025)