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pseudo-label refinement

19 papers

Papers

EReCu: Pseudo-label Evolution Fusion and Refinement with Multi-Cue Learning for Unsupervised Camouflage Detection CVPR 2026 Learning from Unknown for Open-Set Test-Time Adaptation WACV 2026 Lesion-Aware Reconstruction with Principal Network: Enhancing Pseudo-Label Reliability in Semi-Supervised Clinical Lesion Detection MIDL 2026 OWL: Unsupervised 3D Object Detection by Occupancy Guided Warm-up and Large Model Priors Reasoning AAAI 2026 Visibility guided Self-Supervised Occlusion-Resilient Human Pose Estimation WACV 2026 Cross-attention and Self-attention for Audio-visual Speaker Diarization in MISP-Meeting Challenge Interspeech 2025 Iterative Refinement, Not Training Objective, Makes HuBERT Behave Differently from wav2vec 2.0 Interspeech 2025 Label Calibration in Source Free Domain Adaptation WACV 2025 S4M: Boosting Semi-Supervised Instance Segmentation with SAM ICCV 2025 Hierarchical Intra-modal Correlation Learning for Label-free 3D Semantic Segmentation CVPR 2024 SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised Referring Expression Segmentation ICML 2024 Unified Unsupervised Salient Object Detection via Knowledge Transfer IJCAI 2024 Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias CVPR 2024 SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation CVPR 2023 Self-Distillation for Unsupervised 3D Domain Adaptation WACV 2023 Cleaning Noisy Labels by Negative Ensemble Learning for Source-Free Unsupervised Domain Adaptation WACV 2022 Delving into Probabilistic Uncertainty for Unsupervised Domain Adaptive Person Re-identification AAAI 2022 Part-Based Pseudo Label Refinement for Unsupervised Person Re-Identification CVPR 2022 SECRET: Self-Consistent Pseudo Label Refinement for Unsupervised Domain Adaptive Person Re-identification AAAI 2022