{"total":41,"rows":[{"id":"2212.05590","title":"PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery","created":"2022-12-11","cited_by_count":87,"area":null},{"id":"2310.19909","title":"Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks","created":"2023-10-30","cited_by_count":72,"area":null},{"id":"2211.13222","title":"SVFormer: Semi-supervised Video Transformer for Action Recognition","created":"2022-11-23","cited_by_count":68,"area":null},{"id":"2304.10756","title":"Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic Segmentation","created":"2023-04-21","cited_by_count":24,"area":null},{"id":"2306.09910","title":"LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning","created":"2023-06-16","cited_by_count":20,"area":null},{"id":"2402.10093","title":"MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Representations","created":"2024-02-15","cited_by_count":19,"area":null},{"id":"2308.06777","title":"Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning","created":"2023-08-13","cited_by_count":17,"area":null},{"id":"2304.10520","title":"Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget","created":"2023-04-20","cited_by_count":15,"area":null},{"id":"2308.06692","title":"SimMatchV2: Semi-Supervised Learning with Graph Consistency","created":"2023-08-13","cited_by_count":12,"area":null},{"id":"2210.08711","title":"Continuous Pseudo-Labeling from the Start","created":"2022-10-17","cited_by_count":11,"area":null},{"id":"2302.14483","title":"RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data","created":"2023-02-28","cited_by_count":10,"area":null},{"id":"2401.16424","title":"Computer Vision for Primate Behavior Analysis in the Wild","created":"2024-01-29","cited_by_count":10,"area":null},{"id":"2305.12715","title":"Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations","created":"2023-05-22","cited_by_count":9,"area":null},{"id":"2305.18158","title":"Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning","created":"2023-05-29","cited_by_count":7,"area":null},{"id":"2305.10018","title":"Transfer Learning for Fine-grained Classification Using Semi-supervised Learning and Visual Transformers","created":"2023-05-17","cited_by_count":5,"area":null},{"id":"2311.18083","title":"Meta Co-Training: Two Views are Better than One","created":"2023-11-29","cited_by_count":5,"area":null},{"id":"2312.08631","title":"Semi-supervised Semantic Segmentation Meets Masked Modeling:Fine-grained Locality Learning Matters in Consistency Regularization","created":"2023-12-14","cited_by_count":4,"area":null},{"id":"2406.02774","title":"Diffusion-Refined VQA Annotations for Semi-Supervised Gaze Following","created":"2024-06-04","cited_by_count":4,"area":null},{"id":"2509.21526","title":"TRiCo: Triadic Game-Theoretic Co-Training for Robust Semi-Supervised Learning","created":"2025-09-25","cited_by_count":4,"area":null},{"id":"2303.12992","title":"A Survey of Historical Learning: Learning Models with Learning History","created":"2023-03-23","cited_by_count":3,"area":null},{"id":"2409.01448","title":"FinePseudo: Improving Pseudo-Labelling through Temporal-Alignablity for Semi-Supervised Fine-Grained Action Recognition","created":"2024-09-02","cited_by_count":3,"area":null},{"id":"2502.18202","title":"DenoMAE2.0: Improving Denoising Masked Autoencoders by Classifying Local Patches","created":"2025-02-25","cited_by_count":3,"area":null},{"id":"2303.08978","title":"Active Semi-Supervised Learning by Exploring Per-Sample Uncertainty and Consistency","created":"2023-03-15","cited_by_count":2,"area":null},{"id":"2311.17093","title":"A Mixture of Exemplars Approach for Efficient Out-of-Distribution Detection with Foundation Models","created":"2023-11-28","cited_by_count":2,"area":null},{"id":"2403.15567","title":"Do not trust what you trust: Miscalibration in Semi-supervised Learning","created":"2024-03-22","cited_by_count":2,"area":null},{"id":"2409.15021","title":"Cross Branch Feature Fusion Decoder for Consistency Regularization-based Semi-Supervised Change Detection","created":"2024-09-23","cited_by_count":2,"area":null},{"id":"2506.08070","title":"Info-Coevolution: An Efficient Framework for Data Model Coevolution","created":"2025-06-09","cited_by_count":2,"area":null},{"id":"2608.09052","title":"Triple Expert Learning from Noisy Labels for Semi-Supervised Vision Foundation Model Adaptation","created":"2026-08-10","cited_by_count":2,"area":null},{"id":"2305.10071","title":"Cold PAWS: Unsupervised class discovery and addressing the cold-start problem for semi-supervised learning","created":"2023-05-17","cited_by_count":1,"area":null},{"id":"2312.12347","title":"SMC-NCA: Semantic-guided Multi-level Contrast for Semi-supervised Temporal Action Segmentation","created":"2023-12-19","cited_by_count":1,"area":null},{"id":"2407.07763","title":"S&D Messenger: Exchanging Semantic and Domain Knowledge for Generic Semi-Supervised Medical Image Segmentation","created":"2024-07-10","cited_by_count":1,"area":null},{"id":"2410.17622","title":"Bridging the Gaps: Utilizing Unlabeled Face Recognition Datasets to Boost Semi-Supervised Facial Expression Recognition","created":"2024-10-23","cited_by_count":1,"area":null},{"id":"2608.20710","title":"Geometric Regularization for Long-Tailed Semi-Supervised Learning via Gaussian Feature Bridges","created":"2026-08-21","cited_by_count":1,"area":null},{"id":"2404.01929","title":"Towards Enhanced Analysis of Lung Cancer Lesions in EBUS-TBNA -- A Semi-Supervised Video Object Detection Method","created":"2024-04-02","cited_by_count":0,"area":null},{"id":"2405.14516","title":"Towards Realistic Long-tailed Semi-supervised Learning in an Open World","created":"2024-05-23","cited_by_count":0,"area":null},{"id":"2409.07839","title":"FPMT: Enhanced Semi-Supervised Model for Traffic Incident Detection","created":"2024-09-12","cited_by_count":0,"area":null},{"id":"2503.05367","title":"Semi-Supervised Learning for Dose Prediction in Targeted Radionuclide: A Synthetic Data Study","created":"2025-03-07","cited_by_count":0,"area":null},{"id":"2506.00467","title":"SST: Self-training with Self-adaptive Thresholding for Semi-supervised Learning","created":"2025-05-31","cited_by_count":0,"area":null},{"id":"2601.00218","title":"Unknown Aware AI-Generated Content Attribution","created":"2026-01-01","cited_by_count":0,"area":null},{"id":"2601.20072","title":"Semi-Supervised Masked Autoencoders: Unlocking Vision Transformer Potential with Limited Data","created":"2026-01-27","cited_by_count":0,"area":null},{"id":"2609.29678","title":"ReCalMatch:Reliability-Calibrated Semantic Guidance for Semi-Supervised Fine-Grained Recognition","created":"2026-08-30","cited_by_count":0,"area":null}],"next_cursor":null}