{"total":18,"rows":[{"id":"2203.13834","title":"A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration","created":"2022-03-25","cited_by_count":49,"area":null},{"id":"2209.07601","title":"Towards Improving Calibration in Object Detection Under Domain Shift","created":"2022-09-15","cited_by_count":26,"area":null},{"id":"2409.16223","title":"Fine-Tuning is Fine, if Calibrated","created":"2024-09-24","cited_by_count":24,"area":null},{"id":"2306.08271","title":"Multiclass Confidence and Localization Calibration for Object Detection","created":"2023-06-14","cited_by_count":16,"area":null},{"id":"2303.14404","title":"Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection","created":"2023-03-25","cited_by_count":12,"area":null},{"id":"2311.03570","title":"Cal-DETR: Calibrated Detection Transformer","created":"2023-11-06","cited_by_count":11,"area":null},{"id":"2207.09957","title":"Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores","created":"2022-07-20","cited_by_count":10,"area":null},{"id":"2402.11476","title":"EndoOOD: Uncertainty-aware Out-of-distribution Detection in Capsule Endoscopy Diagnosis","created":"2024-02-18","cited_by_count":9,"area":null},{"id":"2207.08525","title":"Angular Gap: Reducing the Uncertainty of Image Difficulty through Model Calibration","created":"2022-07-18","cited_by_count":6,"area":null},{"id":"2403.06759","title":"Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation","created":"2024-03-11","cited_by_count":6,"area":null},{"id":"2309.13869","title":"PRiSM: Enhancing Low-Resource Document-Level Relation Extraction with Relation-Aware Score Calibration","created":"2023-09-25","cited_by_count":3,"area":null},{"id":"2312.06106","title":"AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images","created":"2023-12-11","cited_by_count":3,"area":null},{"id":"2505.01766","title":"Multimodal Graph Representation Learning for Robust Surgical Workflow Recognition with Adversarial Feature Disentanglement","created":"2025-05-03","cited_by_count":3,"area":null},{"id":"2502.17429","title":"CLIMB-3D: Continual Learning for Imbalanced 3D Instance Segmentation","created":"2025-02-24","cited_by_count":1,"area":null},{"id":"2602.01973","title":"Your AI-Generated Image Detector Can Secretly Achieve SOTA Accuracy, If Calibrated","created":"2026-02-02","cited_by_count":1,"area":null},{"id":"2308.08366","title":"Dual-Branch Temperature Scaling Calibration for Long-Tailed Recognition","created":"2023-08-16","cited_by_count":0,"area":null},{"id":"2309.16135","title":"A dual-branch model with inter- and intra-branch contrastive loss for long-tailed recognition","created":"2023-09-28","cited_by_count":0,"area":null},{"id":"2608.12230","title":"Few-Shot Ordinal Learning for Day-Wise Freshness Estimation with Hyperspectral Fish Images","created":"2026-08-12","cited_by_count":0,"area":null}],"next_cursor":null}