Cover Image

FixCLR: Negative-Class Contrastive Learning for Semi-Supervised Domain Generalization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Son, Ha Min, Rezaei, Shahbaz, Liu, Xin
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Domain Generalization in-the-Wild: Disentangling Classification from Domain-Aware Representations
by: Son, Ha Min, et al.
Published: (2025)

Semi-Supervised Facial Expression Recognition based on Dynamic Threshold and Negative Learning
by: Cai, Zhongpeng, et al.
Published: (2026)

Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization
by: Lee, Dongkwan, et al.
Published: (2025)

Learning Disentangled Stain and Structural Representations for Semi-Supervised Histopathology Segmentation
by: Pham, Ha-Hieu, et al.
Published: (2025)

CAST: Contrastive Adaptation and Distillation for Semi-Supervised Instance Segmentation
by: Taghavi, Pardis, et al.
Published: (2025)

Safe Semi-Supervised Contrastive Learning Using In-Distribution Data as Positive Examples
by: Kwak, Min Gu, et al.
Published: (2024)

Multiscale Switch for Semi-Supervised and Contrastive Learning in Medical Ultrasound Image Segmentation
by: Qu, Jingguo, et al.
Published: (2026)

Overcoming Data Inequality across Domains with Semi-Supervised Domain Generalization
by: Park, Jinha, et al.
Published: (2024)

Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning
by: Park, Min-Yeong, et al.
Published: (2024)

Negative Prototypes Guided Contrastive Learning for WSOD
by: Zhang, Yu, et al.
Published: (2024)

Bayesian Gated Non-Negative Contrastive Learning
by: Cui, Peng, et al.
Published: (2026)

SPARSE Data, Rich Results: Few-Shot Semi-Supervised Learning via Class-Conditioned Image Translation
by: Manni, Guido, et al.
Published: (2025)

FALCON: False-Negative Aware Learning of Contrastive Negatives in Vision-Language Alignment
by: Kim, Myunsoo, et al.
Published: (2025)

C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image Segmentation
by: He, Jiaying, et al.
Published: (2025)

Enhancing Whole Slide Image Classification through Supervised Contrastive Domain Adaptation
by: Carretero, Ilán, et al.
Published: (2024)

A Framework For Image Synthesis Using Supervised Contrastive Learning
by: Liu, Yibin, et al.
Published: (2024)

SS-ADA: A Semi-Supervised Active Domain Adaptation Framework for Semantic Segmentation
by: Yan, Weihao, et al.
Published: (2024)

Enhancing Contrastive Learning for Geolocalization by Discovering Hard Negatives on Semivariograms
by: Chen, Boyi, et al.
Published: (2025)

Semi-Self-Supervised Domain Adaptation: Developing Deep Learning Models with Limited Annotated Data for Wheat Head Segmentation
by: Ghanbari, Alireza, et al.
Published: (2024)

Integrating Semi-Supervised and Active Learning for Semantic Segmentation
by: Ma, Wanli, et al.
Published: (2025)

AmCLR: Unified Augmented Learning for Cross-Modal Representations
by: Jagannath, Ajay, et al.
Published: (2024)

Adaptive Intra-Class Variation Contrastive Learning for Unsupervised Person Re-Identification
by: Liu, Lingzhi, et al.
Published: (2024)

HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization
by: Zhou, Guanglin, et al.
Published: (2024)

Semi-Supervised Learning for Deep Causal Generative Models
by: Ibrahim, Yasin, et al.
Published: (2024)

Selective Contrastive Learning for Weakly Supervised Affordance Grounding
by: Moon, WonJun, et al.
Published: (2025)

Learning from Noisy Preferences: A Semi-Supervised Learning Approach to Direct Preference Optimization
by: Liu, Xinxin, et al.
Published: (2026)

SpectralAdapt: Semi-Supervised Domain Adaptation with Spectral Priors for Human-Centered Hyperspectral Image Reconstruction
by: Wen, Yufei, et al.
Published: (2025)

Revisiting Network Perturbation for Semi-Supervised Semantic Segmentation
by: Li, Sien, et al.
Published: (2024)

Scalable Analytic Classifiers with Associative Drift Compensation for Class-Incremental Learning of Vision Transformers
by: Rao, Xuan, et al.
Published: (2026)

Rehabilitation Exercise Quality Assessment through Supervised Contrastive Learning with Hard and Soft Negatives
by: Karlov, Mark, et al.
Published: (2024)

Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and Negatives
by: Feng, Zhangchi, et al.
Published: (2024)

Completely Weakly Supervised Class-Incremental Learning for Semantic Segmentation
by: Kim, David Minkwan, et al.
Published: (2025)

Temporally-Aware Supervised Contrastive Learning for Polyp Counting in Colonoscopy
by: Parolari, Luca, et al.
Published: (2025)

Subspace Clustering on Incomplete Data with Self-Supervised Contrastive Learning
by: Li, Huanran, et al.
Published: (2026)

Federated Class-Incremental Learning with Prompting
by: Luo, Xin, et al.
Published: (2023)

Vision-Language Model Purified Semi-Supervised Semantic Segmentation for Remote Sensing Images
by: Wang, Shanwen, et al.
Published: (2026)

Shifting to Machine Supervision: Annotation-Efficient Semi and Self-Supervised Learning for Automatic Medical Image Segmentation and Classification
by: Singh, Pranav, et al.
Published: (2023)

HDC: Hierarchical Distillation for Multi-level Noisy Consistency in Semi-Supervised Fetal Ultrasound Segmentation
by: Le, Tran Quoc Khanh, et al.
Published: (2025)

SSLR: A Semi-Supervised Learning Method for Isolated Sign Language Recognition
by: Algafri, Hasan, et al.
Published: (2025)

Semi-Supervised Multi-Task Learning for Interpretable Quality As- sessment of Fundus Images
by: Telesco, Lucas Gabriel, et al.
Published: (2025)