feature calibration

BALM: A Model-Agnostic Framework for Balanced Multimodal Learning under Imbalanced Missing Rates CVPR 2026 Domain-Skewed Federated Learning with Feature Decoupling and Calibration CVPR 2026 ReTrack: Evidence-Driven Dual-Stream Directional Anchor Calibration Network for Composed Video Retrieval AAAI 2026 RHCNet: Residual-Guided Hierarchical Calibration Network for Robust Underwater Object Detection CVPR 2026 Calibrating Verbal Uncertainty as a Linear Feature to Reduce Hallucinations EMNLP 2025 Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to Tail AAAI 2025 Catalyst for Clustering-Based Unsupervised Object Re-identification: Feature Calibration AAAI 2024 FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning CVPR 2024 SFC: Shared Feature Calibration in Weakly Supervised Semantic Segmentation AAAI 2024 UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language Models NeurIPS 2024 Few-Shot Learning With Visual Distribution Calibration and Cross-Modal Distribution Alignment CVPR 2023 Tackling Modality Heterogeneity with Multi-View Calibration Network for Multimodal Sentiment Detection ACL 2023 Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning ICML 2022 Precise Yet Efficient Semantic Calibration and Refinement in ConvNets for Real-time Polyp Segmentation from Colonoscopy Videos AAAI 2021 Representative Batch Normalization With Feature Calibration CVPR 2021 Monotonic Calibrated Interpolated Look-Up Tables JMLR 2016