{"total":110,"rows":[{"id":"2110.11334","title":"Generalized Out-of-Distribution Detection: A Survey","created":"2021-10-21","cited_by_count":802,"area":null},{"id":"2212.03191","title":"InternVideo: General Video Foundation Models via Generative and Discriminative Learning","created":"2022-12-06","cited_by_count":447,"area":null},{"id":"2110.06207","title":"Open-Set Recognition: a Good Closed-Set Classifier is All You Need?","created":"2021-10-12","cited_by_count":353,"area":null},{"id":"2201.02609","title":"Generalized Category Discovery","created":"2022-01-07","cited_by_count":211,"area":null},{"id":"2110.14051","title":"A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges","created":"2021-10-26","cited_by_count":154,"area":null},{"id":"2103.00953","title":"Adversarial Reciprocal Points Learning for Open Set Recognition","created":"2021-03-01","cited_by_count":153,"area":null},{"id":"2104.02939","title":"OpenGAN: Open-Set Recognition via Open Data Generation","created":"2021-04-07","cited_by_count":135,"area":null},{"id":"2210.14707","title":"Is Out-of-Distribution Detection Learnable?","created":"2022-10-26","cited_by_count":109,"area":null},{"id":"2107.10161","title":"Evidential Deep Learning for Open Set Action Recognition","created":"2021-07-21","cited_by_count":96,"area":null},{"id":"2305.06611","title":"Hyperbolic Deep Learning in Computer Vision: A Survey","created":"2023-05-11","cited_by_count":73,"area":null},{"id":"2108.08487","title":"Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain","created":"2021-08-19","cited_by_count":71,"area":null},{"id":"2108.04562","title":"Deep Metric Learning for Open World Semantic Segmentation","created":"2021-08-10","cited_by_count":51,"area":null},{"id":"2310.19776","title":"Learn to Categorize or Categorize to Learn? Self-Coding for Generalized Category Discovery","created":"2023-10-30","cited_by_count":39,"area":null},{"id":"2203.14911","title":"Expanding Low-Density Latent Regions for Open-Set Object Detection","created":"2022-03-28","cited_by_count":38,"area":null},{"id":"2408.14371","title":"SelEx: Self-Expertise in Fine-Grained Generalized Category Discovery","created":"2024-08-26","cited_by_count":34,"area":null},{"id":"2210.13458","title":"OpenAUC: Towards AUC-Oriented Open-Set Recognition","created":"2022-10-22","cited_by_count":33,"area":null},{"id":"2303.06877","title":"Progressive Open Space Expansion for Open-Set Model Attribution","created":"2023-03-13","cited_by_count":32,"area":null},{"id":"2207.02158","title":"Class-Specific Semantic Reconstruction for Open Set Recognition","created":"2022-07-05","cited_by_count":28,"area":null},{"id":"2106.15792","title":"Learning Bounds for Open-Set Learning","created":"2021-06-30","cited_by_count":27,"area":null},{"id":"2203.08569","title":"PMAL: Open Set Recognition via Robust Prototype Mining","created":"2022-03-16","cited_by_count":27,"area":null},{"id":"2301.11929","title":"Training Full Spike Neural Networks via Auxiliary Accumulation Pathway","created":"2023-01-27","cited_by_count":26,"area":null},{"id":"2304.06928","title":"CiPR: An Efficient Framework with Cross-instance Positive Relations for Generalized Category Discovery","created":"2023-04-14","cited_by_count":26,"area":null},{"id":"2207.10024","title":"Difficulty-Aware Simulator for Open Set Recognition","created":"2022-07-20","cited_by_count":24,"area":null},{"id":"2203.05114","title":"OpenTAL: Towards Open Set Temporal Action Localization","created":"2022-03-10","cited_by_count":23,"area":null},{"id":"2312.14126","title":"Entropic Open-set Active Learning","created":"2023-12-21","cited_by_count":23,"area":null},{"id":"2206.07551","title":"Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation","created":"2022-06-15","cited_by_count":21,"area":null},{"id":"2404.06065","title":"Unified Entropy Optimization for Open-Set Test-Time Adaptation","created":"2024-04-09","cited_by_count":19,"area":null},{"id":"2104.09159","title":"Conditional Variational Capsule Network for Open Set Recognition","created":"2021-04-19","cited_by_count":17,"area":null},{"id":"2207.10130","title":"Latent Discriminant deterministic Uncertainty","created":"2022-07-20","cited_by_count":17,"area":null},{"id":"2312.06330","title":"Navigating Open Set Scenarios for Skeleton-based Action Recognition","created":"2023-12-11","cited_by_count":17,"area":null},{"id":"2209.15246","title":"Your Out-of-Distribution Detection Method is Not Robust!","created":"2022-09-30","cited_by_count":16,"area":null},{"id":"2302.04002","title":"The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition","created":"2023-02-08","cited_by_count":16,"area":null},{"id":"2402.00822","title":"WiOpen: A Robust Wi-Fi-based Open-set Gesture Recognition Framework","created":"2024-02-01","cited_by_count":16,"area":null},{"id":"2410.00393","title":"Revisiting Essential and Nonessential Settings of Evidential Deep Learning","created":"2024-10-01","cited_by_count":15,"area":null},{"id":"2404.12368","title":"Gradient-Regularized Out-of-Distribution Detection","created":"2024-04-18","cited_by_count":13,"area":null},{"id":"2408.16757","title":"Dissecting Out-of-Distribution Detection and Open-Set Recognition: A Critical Analysis of Methods and Benchmarks","created":"2024-08-29","cited_by_count":13,"area":null},{"id":"2108.02373","title":"M2IOSR: Maximal Mutual Information Open Set Recognition","created":"2021-08-05","cited_by_count":12,"area":null},{"id":"2207.09963","title":"Rethinking Few-Shot Class-Incremental Learning with Open-Set Hypothesis in Hyperbolic Geometry","created":"2022-07-20","cited_by_count":12,"area":null},{"id":"2309.01265","title":"SOAR: Scene-debiasing Open-set Action Recognition","created":"2023-09-03","cited_by_count":12,"area":null},{"id":"2409.17555","title":"Advancing Open-Set Domain Generalization Using Evidential Bi-Level Hardest Domain Scheduler","created":"2024-09-26","cited_by_count":12,"area":null},{"id":"2207.11554","title":"3DOS: Towards 3D Open Set Learning -- Benchmarking and Understanding Semantic Novelty Detection on Point Clouds","created":"2022-07-23","cited_by_count":11,"area":null},{"id":"2503.21003","title":"Forensic Self-Descriptions Are All You Need for Zero-Shot Detection, Open-Set Source Attribution, and Clustering of AI-generated Images","created":"2025-03-26","cited_by_count":11,"area":null},{"id":"2309.12780","title":"LMC: Large Model Collaboration with Cross-assessment for Training-Free Open-Set Object Recognition","created":"2023-09-22","cited_by_count":10,"area":null},{"id":"2403.01053","title":"Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling","created":"2024-03-02","cited_by_count":10,"area":null},{"id":"2311.13355","title":"Unified Classification and Rejection: A One-versus-All Framework","created":"2023-11-22","cited_by_count":9,"area":null},{"id":"2212.08355","title":"Learning Classifiers of Prototypes and Reciprocal Points for Universal Domain Adaptation","created":"2022-12-16","cited_by_count":8,"area":null},{"id":"2401.06521","title":"Exploring Diverse Representations for Open Set Recognition","created":"2024-01-12","cited_by_count":8,"area":null},{"id":"2408.01840","title":"E$^{3}$NeRF: Efficient Event-Enhanced Neural Radiance Fields from Blurry Images","created":"2024-08-03","cited_by_count":8,"area":null},{"id":"2205.08083","title":"Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation","created":"2022-05-17","cited_by_count":7,"area":null},{"id":"2207.10023","title":"Tailoring Self-Supervision for Supervised Learning","created":"2022-07-20","cited_by_count":7,"area":null},{"id":"2312.15571","title":"A Survey on Open-Set Image Recognition","created":"2023-12-25","cited_by_count":7,"area":null},{"id":"2402.06985","title":"OSSAR: Towards Open-Set Surgical Activity Recognition in Robot-assisted Surgery","created":"2024-02-10","cited_by_count":7,"area":null},{"id":"2206.04242","title":"OOD Augmentation May Be at Odds with Open-Set Recognition","created":"2022-06-09","cited_by_count":6,"area":null},{"id":"2301.10127","title":"Improving Open-Set Semi-Supervised Learning with Self-Supervision","created":"2023-01-24","cited_by_count":6,"area":null},{"id":"2304.05212","title":"Open Set Classification of GAN-based Image Manipulations via a ViT-based Hybrid Architecture","created":"2023-04-11","cited_by_count":6,"area":null},{"id":"2309.07403","title":"Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance","created":"2023-09-14","cited_by_count":6,"area":null},{"id":"2403.03382","title":"Adaptive Discovering and Merging for Incremental Novel Class Discovery","created":"2024-03-06","cited_by_count":6,"area":null},{"id":"2405.11491","title":"BOSC: A Backdoor-based Framework for Open Set Synthetic Image Attribution","created":"2024-05-19","cited_by_count":6,"area":null},{"id":"2408.13373","title":"Learning Unknowns from Unknowns: Diversified Negative Prototypes Generator for Few-Shot Open-Set Recognition","created":"2024-08-23","cited_by_count":6,"area":null},{"id":"2412.18342","title":"Mitigating Label Noise using Prompt-Based Hyperbolic Meta-Learning in Open-Set Domain Generalization","created":"2024-12-24","cited_by_count":6,"area":null},{"id":"2502.19691","title":"Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach","created":"2025-02-27","cited_by_count":5,"area":null},{"id":"2108.04225","title":"Adversarial Motorial Prototype Framework for Open Set Recognition","created":"2021-07-13","cited_by_count":4,"area":null},{"id":"2312.08785","title":"Managing the unknown: a survey on Open Set Recognition and tangential areas","created":"2023-12-14","cited_by_count":4,"area":null},{"id":"2206.03600","title":"OneRing: A Simple Method for Source-free Open-partial Domain Adaptation","created":"2022-06-07","cited_by_count":3,"area":null},{"id":"2303.15467","title":"Enlarging Instance-specific and Class-specific Information for Open-set Action Recognition","created":"2023-03-25","cited_by_count":3,"area":null},{"id":"2306.13872","title":"Learning from Pixels with Expert Observations","created":"2023-06-24","cited_by_count":3,"area":null},{"id":"2307.04541","title":"Learning Large Margin Sparse Embeddings for Open Set Medical Diagnosis","created":"2023-07-10","cited_by_count":3,"area":null},{"id":"2401.17654","title":"All Beings Are Equal in Open Set Recognition","created":"2024-01-31","cited_by_count":3,"area":null},{"id":"2404.17100","title":"Open-Set Video-based Facial Expression Recognition with Human Expression-sensitive Prompting","created":"2024-04-26","cited_by_count":3,"area":null},{"id":"2503.17717","title":"BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors","created":"2025-03-22","cited_by_count":3,"area":null},{"id":"2110.11013","title":"Spatial Location Constraint Prototype Loss for Open Set Recognition","created":"2021-10-21","cited_by_count":2,"area":null},{"id":"2203.08441","title":"Open Set Recognition using Vision Transformer with an Additional Detection Head","created":"2022-03-16","cited_by_count":2,"area":null},{"id":"2208.06809","title":"Multi-Attribute Open Set Recognition","created":"2022-08-14","cited_by_count":2,"area":null},{"id":"2209.11436","title":"Understanding Open-Set Recognition by Jacobian Norm and Inter-Class Separation","created":"2022-09-23","cited_by_count":2,"area":null},{"id":"2212.11747","title":"Deep Simplex Classifier for Maximizing the Margin in Both Euclidean and Angular Spaces","created":"2022-12-22","cited_by_count":2,"area":null},{"id":"2303.05122","title":"M-Tuning: Prompt Tuning with Mitigated Label Bias in Open-Set Scenarios","created":"2023-03-09","cited_by_count":2,"area":null},{"id":"2309.10711","title":"Latent Space Energy-based Model for Fine-grained Open Set Recognition","created":"2023-09-19","cited_by_count":2,"area":null},{"id":"2406.09112","title":"Large-Scale Evaluation of Open-Set Image Classification Techniques","created":"2024-06-13","cited_by_count":2,"area":null},{"id":"2412.09229","title":"UADet: A Remarkably Simple Yet Effective Uncertainty-Aware Open-Set Object Detection Framework","created":"2024-12-12","cited_by_count":2,"area":null},{"id":"2511.08196","title":"UCDSC: Open Set UnCertainty aware Deep Simplex Classifier for Medical Image Datasets","created":"2025-11-11","cited_by_count":2,"area":null},{"id":"2211.10880","title":"PartCom: Part Composition Learning for 3D Open-Set Recognition","created":"2022-11-20","cited_by_count":1,"area":null},{"id":"2308.15575","title":"Prototype Fission: Closing Set for Robust Open-set Semi-supervised Learning","created":"2023-08-29","cited_by_count":1,"area":null},{"id":"2402.06331","title":"Taking Class Imbalance Into Account in Open Set Recognition Evaluation","created":"2024-02-09","cited_by_count":1,"area":null},{"id":"2404.17830","title":"Dynamic Against Dynamic: An Open-set Self-learning Framework","created":"2024-04-27","cited_by_count":1,"area":null},{"id":"2411.00274","title":"Adaptive Residual Transformation for Enhanced Feature-Based OOD Detection in SAR Imagery","created":"2024-11-01","cited_by_count":1,"area":null},{"id":"2503.08049","title":"SphOR: A Representation Learning Perspective on Open-set Recognition for Identifying Unknown Classes in Deep Learning Models","created":"2025-03-11","cited_by_count":1,"area":null},{"id":"2605.00675","title":"DMDSC: A Dynamic-Margin Deep Simplex Classifier for Open-Set Recognition on Medical Image Datasets","created":"2026-05-01","cited_by_count":1,"area":null},{"id":"2106.01615","title":"Imperceptible Adversarial Examples for Fake Image Detection","created":"2021-06-03","cited_by_count":0,"area":null},{"id":"2207.05957","title":"Orthogonal-Coding-Based Feature Generation for Transductive Open-Set Recognition via Dual-Space Consistent Sampling","created":"2022-07-13","cited_by_count":0,"area":null},{"id":"2211.13940","title":"Spatial-Temporal Attention Network for Open-Set Fine-Grained Image Recognition","created":"2022-11-25","cited_by_count":0,"area":null},{"id":"2301.07894","title":"Subject-Independent Brain-Computer Interfaces with Open-Set Subject Recognition","created":"2023-01-19","cited_by_count":0,"area":null},{"id":"2302.11757","title":"Open-World Object Detection via Discriminative Class Prototype Learning","created":"2023-02-23","cited_by_count":0,"area":null},{"id":"2307.00553","title":"Partial-label Learning with Mixed Closed-set and Open-set Out-of-candidate Examples","created":"2023-07-02","cited_by_count":0,"area":null},{"id":"2307.07214","title":"Complementary Frequency-Varying Awareness Network for Open-Set Fine-Grained Image Recognition","created":"2023-07-14","cited_by_count":0,"area":null},{"id":"2309.13924","title":"Recursive Counterfactual Deconfounding for Object Recognition","created":"2023-09-25","cited_by_count":0,"area":null},{"id":"2404.10370","title":"Know Yourself Better: Diverse Object-Related Features Improve Open Set Recognition","created":"2024-04-16","cited_by_count":0,"area":null},{"id":"2405.02155","title":"Multi-method Integration with Confidence-based Weighting for Zero-shot Image Classification","created":"2024-05-03","cited_by_count":0,"area":null},{"id":"2406.06351","title":"Cascading Unknown Detection with Known Classification for Open Set Recognition","created":"2024-06-10","cited_by_count":0,"area":null},{"id":"2406.15565","title":"Unseen Object Reasoning with Shared Appearance Cues","created":"2024-06-21","cited_by_count":0,"area":null},{"id":"2408.01137","title":"PGNeXt: High-Resolution Salient Object Detection via Pyramid Grafting Network","created":"2024-08-02","cited_by_count":0,"area":null}],"next_cursor":"100"}