{"total":23,"rows":[{"id":"2207.02696","title":"YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors","created":"2022-07-06","cited_by_count":982,"area":null},{"id":"2402.13616","title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","created":"2024-02-21","cited_by_count":425,"area":null},{"id":"2502.12524","title":"YOLOv12: Attention-Centric Real-Time Object Detectors","created":"2025-02-18","cited_by_count":305,"area":null},{"id":"2108.07755","title":"TOOD: Task-aligned One-stage Object Detection","created":"2021-08-17","cited_by_count":218,"area":null},{"id":"2310.08854","title":"Rank-DETR for High Quality Object Detection","created":"2023-10-13","cited_by_count":50,"area":null},{"id":"2104.08736","title":"Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence","created":"2021-04-18","cited_by_count":35,"area":null},{"id":"2107.11669","title":"Rank & Sort Loss for Object Detection and Instance Segmentation","created":"2021-07-24","cited_by_count":22,"area":null},{"id":"2103.14026","title":"AutoLoss-Zero: Searching Loss Functions from Scratch for Generic Tasks","created":"2021-03-25","cited_by_count":19,"area":null},{"id":"2307.00934","title":"Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration","created":"2023-07-03","cited_by_count":19,"area":null},{"id":"2403.01795","title":"RankED: Addressing Imbalance and Uncertainty in Edge Detection Using Ranking-based Losses","created":"2024-03-04","cited_by_count":19,"area":null},{"id":"2107.01173","title":"Momentum Accelerates the Convergence of Stochastic AUPRC Maximization","created":"2021-07-02","cited_by_count":14,"area":null},{"id":"2301.09724","title":"Long-tail Detection with Effective Class-Margins","created":"2023-01-23","cited_by_count":13,"area":null},{"id":"2209.13262","title":"Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability","created":"2022-09-27","cited_by_count":8,"area":null},{"id":"2111.02400","title":"Deep AUC Maximization for Medical Image Classification: Challenges and Opportunities","created":"2021-11-01","cited_by_count":6,"area":null},{"id":"2505.05741","title":"Dome-DETR: DETR with Density-Oriented Feature-Query Manipulation for Efficient Tiny Object Detection","created":"2025-05-09","cited_by_count":6,"area":null},{"id":"2207.12042","title":"Revisiting AP Loss for Dense Object Detection: Adaptive Ranking Pair Selection","created":"2022-07-25","cited_by_count":4,"area":null},{"id":"2301.01019","title":"Correlation Loss: Enforcing Correlation between Classification and Localization","created":"2023-01-03","cited_by_count":4,"area":null},{"id":"2311.14090","title":"Class Uncertainty: A Measure to Mitigate Class Imbalance","created":"2023-11-23","cited_by_count":4,"area":null},{"id":"2407.14204","title":"Bucketed Ranking-based Losses for Efficient Training of Object Detectors","created":"2024-07-19","cited_by_count":3,"area":null},{"id":"2508.08957","title":"QAMRO: Quality-aware Adaptive Margin Ranking Optimization for Human-aligned Assessment of Audio Generation Systems","created":"2025-08-12","cited_by_count":3,"area":null},{"id":"2112.05138","title":"Searching Parameterized AP Loss for Object Detection","created":"2021-12-09","cited_by_count":1,"area":null},{"id":"2210.16458","title":"Reformulating van Rijsbergen's $F_{\\beta}$ metric for weighted binary cross-entropy","created":"2022-10-29","cited_by_count":0,"area":null},{"id":"2509.13396","title":"Real-Time Detection and Tracking of Foreign Object Intrusions in Power Systems via Feature-Based Edge Intelligence","created":"2025-09-16","cited_by_count":0,"area":null}],"next_cursor":null}