average precision

Online Data Curation for Object Detection via Marginal Contributions to Dataset-level Average Precision CVPR 2026 Noise-Aware Evaluation of Object Detectors WACV 2025 Where's the Liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content CVPR 2025 Beyond mAP: Towards Better Evaluation of Instance Segmentation CVPR 2023 Correlation Loss: Enforcing Correlation between Classification and Localization AAAI 2023 DamoFD: Digging into Backbone Design on Face Detection ICLR 2023 Maximization of Average Precision for Deep Learning with Adversarial Ranking Robustness NeurIPS 2023 Discrete Listwise Personalized Ranking for Fast Top-N Recommendation with Implicit Feedback IJCAI 2022 Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications ICML 2022 Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones Is Enough AAAI 2022 Boundary IoU: Improving Object-Centric Image Segmentation Evaluation CVPR 2021 Robust and Decomposable Average Precision for Image Retrieval NeurIPS 2021 Searching Parameterized AP Loss for Object Detection NeurIPS 2021 On the Importance of Adaptive Data Collection for Extremely Imbalanced Pairwise Tasks EMNLP 2020 Optimizing Rank-Based Metrics With Blackbox Differentiation CVPR 2020 Overlap Sampler for Region-Based Object Detection WACV 2020 Prime Sample Attention in Object Detection CVPR 2020 Seeing without Looking: Contextual Rescoring of Object Detections for AP Maximization CVPR 2020 A Delay Metric for Video Object Detection: What Average Precision Fails to Tell ICCV 2019 Deep Metric Learning to Rank CVPR 2019 Learning With Average Precision: Training Image Retrieval With a Listwise Loss ICCV 2019 Towards Accurate One-Stage Object Detection With AP-Loss CVPR 2019 Efficient Optimization for Rank-Based Loss Functions CVPR 2018 Local Descriptors Optimized for Average Precision CVPR 2018 Training Deep Neural Networks via Direct Loss Minimization ICML 2016