{"total":49,"rows":[{"id":"2212.08051","title":"Objaverse: A Universe of Annotated 3D Objects","created":"2022-12-15","cited_by_count":1540,"area":null},{"id":"2201.02605","title":"Detecting Twenty-thousand Classes using Image-level Supervision","created":"2022-01-07","cited_by_count":614,"area":null},{"id":"2110.04596","title":"Deep Long-Tailed Learning: A Survey","created":"2021-10-09","cited_by_count":417,"area":null},{"id":"2203.16513","title":"PromptDet: Towards Open-vocabulary Detection using Uncurated Images","created":"2022-03-30","cited_by_count":133,"area":null},{"id":"2203.14197","title":"Long-Tailed Recognition via Weight Balancing","created":"2022-03-27","cited_by_count":107,"area":null},{"id":"2201.02593","title":"Equalized Focal Loss for Dense Long-Tailed Object Detection","created":"2022-01-07","cited_by_count":46,"area":null},{"id":"2308.07815","title":"ImbSAM: A Closer Look at Sharpness-Aware Minimization in Class-Imbalanced Recognition","created":"2023-08-15","cited_by_count":31,"area":null},{"id":"2408.00483","title":"A Systematic Review on Long-Tailed Learning","created":"2024-08-01","cited_by_count":28,"area":null},{"id":"2204.02597","title":"Fine-Grained Predicates Learning for Scene Graph Generation","created":"2022-04-06","cited_by_count":27,"area":null},{"id":"2212.14613","title":"Delving into Semantic Scale Imbalance","created":"2022-12-30","cited_by_count":22,"area":null},{"id":"2211.12501","title":"AeDet: Azimuth-invariant Multi-view 3D Object Detection","created":"2022-11-22","cited_by_count":19,"area":null},{"id":"2201.02784","title":"Relieving Long-tailed Instance Segmentation via Pairwise Class Balance","created":"2022-01-08","cited_by_count":18,"area":null},{"id":"2403.04700","title":"Delving into the Trajectory Long-tail Distribution for Muti-object Tracking","created":"2024-03-07","cited_by_count":18,"area":null},{"id":"2305.01160","title":"Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels","created":"2023-05-02","cited_by_count":16,"area":null},{"id":"2203.06907","title":"Hierarchical Memory Learning for Fine-Grained Scene Graph Generation","created":"2022-03-14","cited_by_count":15,"area":null},{"id":"2207.04602","title":"Adaptive Fine-Grained Predicates Learning for Scene Graph Generation","created":"2022-07-11","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":"2207.10936","title":"Long-tailed Instance Segmentation using Gumbel Optimized Loss","created":"2022-07-22","cited_by_count":12,"area":null},{"id":"2305.18732","title":"Wrapped Cauchy Distributed Angular Softmax for Long-Tailed Visual Recognition","created":"2023-05-30","cited_by_count":11,"area":null},{"id":"2410.20371","title":"Open-Vocabulary Object Detection via Language Hierarchy","created":"2024-10-27","cited_by_count":10,"area":null},{"id":"2203.17020","title":"Logit Normalization for Long-tail Object Detection","created":"2022-03-31","cited_by_count":8,"area":null},{"id":"2210.15996","title":"Towards Generalized Few-Shot Open-Set Object Detection","created":"2022-10-28","cited_by_count":8,"area":null},{"id":"2410.05577","title":"Underwater Object Detection in the Era of Artificial Intelligence: Current, Challenge, and Future","created":"2024-10-08","cited_by_count":8,"area":null},{"id":"2209.04861","title":"Inverse Image Frequency for Long-tailed Image Recognition","created":"2022-09-11","cited_by_count":6,"area":null},{"id":"2407.08567","title":"Adaptive Parametric Activation: Unifying and Generalising Activation Functions Across Tasks","created":"2024-07-11","cited_by_count":6,"area":null},{"id":"2308.02213","title":"Balanced Classification: A Unified Framework for Long-Tailed Object Detection","created":"2023-08-04","cited_by_count":5,"area":null},{"id":"2401.15885","title":"Rectify the Regression Bias in Long-Tailed Object Detection","created":"2024-01-29","cited_by_count":5,"area":null},{"id":"2410.11774","title":"Fractal Calibration for long-tailed object detection","created":"2024-10-15","cited_by_count":5,"area":null},{"id":"2412.11412","title":"V-MIND: Building Versatile Monocular Indoor 3D Detector with Diverse 2D Annotations","created":"2024-12-16","cited_by_count":4,"area":null},{"id":"2303.12992","title":"A Survey of Historical Learning: Learning Models with Learning History","created":"2023-03-23","cited_by_count":3,"area":null},{"id":"2403.15127","title":"Gradient-based Sampling for Class Imbalanced Semi-supervised Object Detection","created":"2024-03-22","cited_by_count":3,"area":null},{"id":"2302.10912","title":"Balanced Audiovisual Dataset for Imbalance Analysis","created":"2023-02-14","cited_by_count":2,"area":null},{"id":"2305.14813","title":"Semi-Supervised and Long-Tailed Object Detection with CascadeMatch","created":"2023-05-24","cited_by_count":2,"area":null},{"id":"2308.05286","title":"Informative Scene Graph Generation via Debiasing","created":"2023-08-10","cited_by_count":2,"area":null},{"id":"2401.06969","title":"Domain Adaptation for Large-Vocabulary Object Detectors","created":"2024-01-13","cited_by_count":2,"area":null},{"id":"2301.13569","title":"NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning","created":"2023-01-31","cited_by_count":1,"area":null},{"id":"2305.18798","title":"AnoOnly: Semi-Supervised Anomaly Detection with the Only Loss on Anomalies","created":"2023-05-30","cited_by_count":1,"area":null},{"id":"2306.13275","title":"On The Relationship Between Continual Learning and Long-Tailed Recognition","created":"2023-06-23","cited_by_count":1,"area":null},{"id":"2411.09453","title":"Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction","created":"2024-11-14","cited_by_count":1,"area":null},{"id":"2601.21792","title":"NetMamba+: A Framework of Pre-trained Models for Efficient and Accurate Network Traffic Classification","created":"2026-01-29","cited_by_count":1,"area":null},{"id":"2602.05415","title":"VMF-GOS: Geometry-guided virtual Outlier Synthesis for Long-Tailed OOD Detection","created":"2026-02-05","cited_by_count":1,"area":null},{"id":"2304.04135","title":"Propheter: Prophetic Teacher Guided Long-Tailed Distribution Learning","created":"2023-04-09","cited_by_count":0,"area":null},{"id":"2402.05400","title":"Optimizing for ROC Curves on Class-Imbalanced Data by Training over a Family of Loss Functions","created":"2024-02-08","cited_by_count":0,"area":null},{"id":"2405.15157","title":"Rethinking Class-Incremental Learning from a Dynamic Imbalanced Learning Perspective","created":"2024-05-24","cited_by_count":0,"area":null},{"id":"2409.13987","title":"Holistic and Historical Instance Comparison for Cervical Cell Detection","created":"2024-09-21","cited_by_count":0,"area":null},{"id":"2410.03588","title":"Training Over a Distribution of Hyperparameters for Enhanced Performance and Adaptability on Imbalanced Classification","created":"2024-10-04","cited_by_count":0,"area":null},{"id":"2410.10548","title":"RICASSO: Reinforced Imbalance Learning with Class-Aware Self-Supervised Outliers Exposure","created":"2024-10-14","cited_by_count":0,"area":null},{"id":"2410.22883","title":"Dataset Awareness is not Enough: Implementing Sample-level Tail Encouragement in Long-tailed Self-supervised Learning","created":"2024-10-30","cited_by_count":0,"area":null},{"id":"2609.02369","title":"Information Density Imbalance in Visual Object Detection","created":"2026-09-02","cited_by_count":0,"area":null}],"next_cursor":null}