{"total":106,"rows":[{"id":"2202.01197","title":"VOS: Learning What You Don't Know by Virtual Outlier Synthesis","created":"2022-02-02","cited_by_count":300,"area":null},{"id":"2103.02603","title":"Towards Open World Object Detection","created":"2021-03-03","cited_by_count":297,"area":null},{"id":"2112.01513","title":"OW-DETR: Open-world Detection Transformer","created":"2021-12-02","cited_by_count":129,"area":null},{"id":"2203.03800","title":"Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild","created":"2022-03-08","cited_by_count":70,"area":null},{"id":"2307.09220","title":"A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and Future","created":"2023-07-18","cited_by_count":61,"area":null},{"id":"2212.01424","title":"PROB: Probabilistic Objectness for Open World Object Detection","created":"2022-12-02","cited_by_count":57,"area":null},{"id":"2101.00443","title":"Semantics for Robotic Mapping, Perception and Interaction: A Survey","created":"2021-01-02","cited_by_count":56,"area":null},{"id":"2104.11221","title":"Opening up Open-World Tracking","created":"2021-04-22","cited_by_count":50,"area":null},{"id":"2403.13129","title":"Better Call SAL: Towards Learning to Segment Anything in Lidar","created":"2024-03-19","cited_by_count":47,"area":null},{"id":"2209.08162","title":"Uncertainty Quantification of Collaborative Detection for Self-Driving","created":"2022-09-16","cited_by_count":46,"area":null},{"id":"2204.05604","title":"Towards Open-Set Object Detection and Discovery","created":"2022-04-12","cited_by_count":44,"area":null},{"id":"2207.11455","title":"UC-OWOD: Unknown-Classified Open World Object Detection","created":"2022-07-23","cited_by_count":40,"area":null},{"id":"2105.08336","title":"Exemplar-Based Open-Set Panoptic Segmentation Network","created":"2021-05-18","cited_by_count":38,"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":"2208.13930","title":"SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection","created":"2022-08-29","cited_by_count":33,"area":null},{"id":"2104.10719","title":"A Fully Spiking Hybrid Neural Network for Energy-Efficient Object Detection","created":"2021-04-21","cited_by_count":31,"area":null},{"id":"2201.00471","title":"Revisiting Open World Object Detection","created":"2022-01-03","cited_by_count":30,"area":null},{"id":"2112.01135","title":"Open-set 3D Object Detection","created":"2021-12-02","cited_by_count":29,"area":null},{"id":"2301.01970","title":"CAT: LoCalization and IdentificAtion Cascade Detection Transformer for Open-World Object Detection","created":"2023-01-05","cited_by_count":28,"area":null},{"id":"2303.14346","title":"Collaborative Multi-Object Tracking with Conformal Uncertainty Propagation","created":"2023-03-25","cited_by_count":27,"area":null},{"id":"2104.01328","title":"Uncertainty for Identifying Open-Set Errors in Visual Object Detection","created":"2021-04-03","cited_by_count":26,"area":null},{"id":"2307.08249","title":"Random Boxes Are Open-world Object Detectors","created":"2023-07-17","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":"2303.13769","title":"Unknown Sniffer for Object Detection: Don't Turn a Blind Eye to Unknown Objects","created":"2023-03-24","cited_by_count":23,"area":null},{"id":"2311.02007","title":"Towards Unsupervised Object Detection From LiDAR Point Clouds","created":"2023-11-03","cited_by_count":23,"area":null},{"id":"2108.03614","title":"Monte Carlo DropBlock for Modelling Uncertainty in Object Detection","created":"2021-08-08","cited_by_count":20,"area":null},{"id":"2110.02687","title":"Objects in Semantic Topology","created":"2021-10-06","cited_by_count":18,"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":"2107.04517","title":"Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors","created":"2021-07-09","cited_by_count":16,"area":null},{"id":"2302.07106","title":"Normalizing Flow based Feature Synthesis for Outlier-Aware Object Detection","created":"2023-02-01","cited_by_count":16,"area":null},{"id":"2303.06999","title":"Identifying Label Errors in Object Detection Datasets by Loss Inspection","created":"2023-03-13","cited_by_count":16,"area":null},{"id":"2303.00871","title":"Bayesian Deep Learning for Affordance Segmentation in images","created":"2023-03-02","cited_by_count":13,"area":null},{"id":"2410.11301","title":"Open World Object Detection: A Survey","created":"2024-10-15","cited_by_count":13,"area":null},{"id":"2210.10774","title":"Learning to Discover and Detect Objects","created":"2022-10-19","cited_by_count":11,"area":null},{"id":"2303.03037","title":"EvCenterNet: Uncertainty Estimation for Object Detection using Evidential Learning","created":"2023-03-06","cited_by_count":10,"area":null},{"id":"2409.05162","title":"Can OOD Object Detectors Learn from Foundation Models?","created":"2024-09-08","cited_by_count":10,"area":null},{"id":"2209.05407","title":"Segmenting Known Objects and Unseen Unknowns without Prior Knowledge","created":"2022-09-12","cited_by_count":9,"area":null},{"id":"2210.08906","title":"A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities","created":"2022-10-17","cited_by_count":9,"area":null},{"id":"2310.04724","title":"Activate and Reject: Towards Safe Domain Generalization under Category Shift","created":"2023-10-07","cited_by_count":9,"area":null},{"id":"2109.11547","title":"Bayesian Active Learning for Sim-to-Real Robotic Perception","created":"2021-09-23","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":"2305.06940","title":"SalienDet: A Saliency-based Feature Enhancement Algorithm for Object Detection for Autonomous Driving","created":"2023-05-11","cited_by_count":8,"area":null},{"id":"2112.06586","title":"Active learning with MaskAL reduces annotation effort for training Mask R-CNN","created":"2021-12-13","cited_by_count":7,"area":null},{"id":"2203.07662","title":"What's in the Black Box? The False Negative Mechanisms Inside Object Detectors","created":"2022-03-15","cited_by_count":7,"area":null},{"id":"2210.06789","title":"Large-Scale Open-Set Classification Protocols for ImageNet","created":"2022-10-13","cited_by_count":7,"area":null},{"id":"2211.11530","title":"Open-Set Object Detection Using Classification-free Object Proposal and Instance-level Contrastive Learning","created":"2022-11-21","cited_by_count":7,"area":null},{"id":"2302.06544","title":"Probabilistic Circuits That Know What They Don't Know","created":"2023-02-13","cited_by_count":7,"area":null},{"id":"2309.14338","title":"3D Indoor Instance Segmentation in an Open-World","created":"2023-09-25","cited_by_count":7,"area":null},{"id":"2311.06481","title":"Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning","created":"2023-11-11","cited_by_count":7,"area":null},{"id":"2110.07206","title":"Task-Driven Deep Image Enhancement Network for Autonomous Driving in Bad Weather","created":"2021-10-14","cited_by_count":6,"area":null},{"id":"2208.11641","title":"Detecting the unknown in Object Detection","created":"2022-08-24","cited_by_count":6,"area":null},{"id":"2403.01172","title":"Run-time Introspection of 2D Object Detection in Automated Driving Systems Using Learning Representations","created":"2024-03-02","cited_by_count":6,"area":null},{"id":"2504.00848","title":"Zero-Shot 4D Lidar Panoptic Segmentation","created":"2025-04-01","cited_by_count":6,"area":null},{"id":"2506.13265","title":"Open-Set LiDAR Panoptic Segmentation Guided by Uncertainty-Aware Learning","created":"2025-06-16","cited_by_count":6,"area":null},{"id":"2605.29812","title":"Not All Inputs Are Valid: Towards Open-Set Video Moment Retrieval Using Language","created":"2026-05-28","cited_by_count":6,"area":null},{"id":"2110.10888","title":"Evaluation of Various Open-Set Medical Imaging Tasks with Deep Neural Networks","created":"2021-10-21","cited_by_count":5,"area":null},{"id":"2403.18373","title":"BAM: Box Abstraction Monitors for Real-time OoD Detection in Object Detection","created":"2024-03-27","cited_by_count":5,"area":null},{"id":"2505.16740","title":"Robust Vision-Based Runway Detection through Conformal Prediction and Conformal mAP","created":"2025-05-22","cited_by_count":5,"area":null},{"id":"2106.15007","title":"An Uncertainty Estimation Framework for Probabilistic Object Detection","created":"2021-06-28","cited_by_count":4,"area":null},{"id":"2307.08414","title":"Active Learning for Object Detection with Non-Redundant Informative Sampling","created":"2023-07-17","cited_by_count":4,"area":null},{"id":"2408.07430","title":"UAHOI: Uncertainty-aware Robust Interaction Learning for HOI Detection","created":"2024-08-14","cited_by_count":4,"area":null},{"id":"2510.00303","title":"Looking Beyond the Known: Towards a Data Discovery Guided Open-World Object Detection","created":"2025-09-30","cited_by_count":4,"area":null},{"id":"2203.07980","title":"Object Detection as Probabilistic Set Prediction","created":"2022-03-15","cited_by_count":3,"area":null},{"id":"2209.00364","title":"Identifying Out-of-Distribution Samples in Real-Time for Safety-Critical 2D Object Detection with Margin Entropy Loss","created":"2022-09-01","cited_by_count":3,"area":null},{"id":"2404.17427","title":"Cost-Sensitive Uncertainty-Based Failure Recognition for Object Detection","created":"2024-04-26","cited_by_count":3,"area":null},{"id":"2505.24038","title":"Conformal Object Detection by Sequential Risk Control","created":"2025-05-29","cited_by_count":3,"area":null},{"id":"2105.14191","title":"Instance Segmentation of Microscopic Foraminifera","created":"2021-05-15","cited_by_count":2,"area":null},{"id":"2208.11050","title":"Tunable Hybrid Proposal Networks for the Open World","created":"2022-08-23","cited_by_count":2,"area":null},{"id":"2210.01361","title":"Uncertainty-Aware Lidar Place Recognition in Novel Environments","created":"2022-10-04","cited_by_count":2,"area":null},{"id":"2303.14930","title":"Addressing the Challenges of Open-World Object Detection","created":"2023-03-27","cited_by_count":2,"area":null},{"id":"2305.14977","title":"Sampling-based Uncertainty Estimation for an Instance Segmentation Network","created":"2023-05-24","cited_by_count":2,"area":null},{"id":"2402.17420","title":"PANDAS: Prototype-based Novel Class Discovery and Detection","created":"2024-02-27","cited_by_count":2,"area":null},{"id":"2403.02637","title":"BSDP: Brain-inspired Streaming Dual-level Perturbations for Online Open World Object Detection","created":"2024-03-05","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":"2101.02974","title":"Approaching Neural Network Uncertainty Realism","created":"2021-01-08","cited_by_count":1,"area":null},{"id":"2207.09775","title":"Rethinking Open-Set Object Detection: Issues, a New Formulation, and Taxonomy","created":"2022-07-20","cited_by_count":1,"area":null},{"id":"2309.10513","title":"Uncertainty Estimation in Instance Segmentation with Star-convex Shapes","created":"2023-09-19","cited_by_count":1,"area":null},{"id":"2312.07466","title":"Efficient Object Detection in Autonomous Driving using Spiking Neural Networks: Performance, Energy Consumption Analysis, and Insights into Open-set Object Discovery","created":"2023-12-12","cited_by_count":1,"area":null},{"id":"2410.07514","title":"O1O: Grouping of Known Classes to Identify Unknown Objects as Odd-One-Out","created":"2024-10-10","cited_by_count":1,"area":null},{"id":"2412.20701","title":"Open-Set Object Detection By Aligning Known Class Representations","created":"2024-12-30","cited_by_count":1,"area":null},{"id":"2506.23751","title":"Can We Challenge Open-Vocabulary Object Detectors with Generated Content in Street Scenes?","created":"2025-06-30","cited_by_count":1,"area":null},{"id":"2602.20616","title":"Knowing the Unknown: Interpretable Open-World Object Detection via Concept Decomposition Model","created":"2026-02-24","cited_by_count":1,"area":null},{"id":"2602.20985","title":"EW-DETR: Evolving World Object Detection via Incremental Low-Rank DEtection TRansformer","created":"2026-02-24","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":"2108.00784","title":"Towards Robust Object Detection: Bayesian RetinaNet for Homoscedastic Aleatoric Uncertainty Modeling","created":"2021-08-02","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":"2305.13802","title":"Online Open-set Semi-supervised Object Detection with Dual Competing Head","created":"2023-05-23","cited_by_count":0,"area":null},{"id":"2307.02672","title":"GIT: Detecting Uncertainty, Out-Of-Distribution and Adversarial Samples using Gradients and Invariance Transformations","created":"2023-07-05","cited_by_count":0,"area":null},{"id":"2308.12785","title":"Single-shot Bayesian approximation for neural networks","created":"2023-08-24","cited_by_count":0,"area":null},{"id":"2401.05594","title":"Wasserstein Distance-based Expansion of Low-Density Latent Regions for Unknown Class Detection","created":"2024-01-10","cited_by_count":0,"area":null},{"id":"2404.00257","title":"YOLOOC: YOLO-based Open-Class Incremental Object Detection with Novel Class Discovery","created":"2024-03-30","cited_by_count":0,"area":null},{"id":"2404.10865","title":"OSR-ViT: A Simple and Modular Framework for Open-Set Object Detection and Discovery","created":"2024-04-16","cited_by_count":0,"area":null},{"id":"2405.07600","title":"Integrity Monitoring of 3D Object Detection in Automated Driving Systems using Raw Activation Patterns and Spatial Filtering","created":"2024-05-13","cited_by_count":0,"area":null},{"id":"2406.11021","title":"$\\alpha$-OCC: Uncertainty-Aware Camera-based 3D Semantic Occupancy Prediction","created":"2024-06-16","cited_by_count":0,"area":null},{"id":"2411.04586","title":"On the Inherent Robustness of One-Stage Object Detection against Out-of-Distribution Data","created":"2024-11-07","cited_by_count":0,"area":null},{"id":"2503.22291","title":"VisTa: Visual-contextual and Text-augmented Zero-shot Object-level OOD Detection","created":"2025-03-28","cited_by_count":0,"area":null},{"id":"2506.14008","title":"FindMeIfYouCan: Bringing Open Set metrics to $\\textit{near} $, $ \\textit{far} $ and $\\textit{farther}$ Out-of-Distribution Object Detection","created":"2025-06-16","cited_by_count":0,"area":null},{"id":"2509.12871","title":"Cumulative Consensus Score: Label-Free and Model-Agnostic Evaluation of Object Detectors in Deployment","created":"2025-09-16","cited_by_count":0,"area":null},{"id":"2511.15343","title":"Three-Way Open-Set Detection for Robust Autonomous Navigation","created":"2025-11-19","cited_by_count":0,"area":null},{"id":"2601.22685","title":"OOVDet: Low-Density Prior Learning for Zero-Shot Out-of-Vocabulary Object Detection","created":"2026-01-30","cited_by_count":0,"area":null}],"next_cursor":"100"}