{"total":31,"rows":[{"id":"2311.15367","title":"BatchNorm-based Weakly Supervised Video Anomaly Detection","created":"2023-11-26","cited_by_count":22,"area":null},{"id":"2411.16198","title":"Interpreting Object-level Foundation Models via Visual Precision Search","created":"2024-11-25","cited_by_count":20,"area":null},{"id":"2404.15879","title":"Revisiting Out-of-Distribution Detection in LiDAR-based 3D Object Detection","created":"2024-04-24","cited_by_count":11,"area":null},{"id":"2406.14924","title":"DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection","created":"2024-06-21","cited_by_count":11,"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":"2406.11835","title":"OoDIS: Anomaly Instance Segmentation and Detection Benchmark","created":"2024-06-17","cited_by_count":8,"area":null},{"id":"2408.11221","title":"On the Potential of Open-Vocabulary Models for Object Detection in Unusual Street Scenes","created":"2024-08-20","cited_by_count":5,"area":null},{"id":"2407.15763","title":"Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier Synthesis","created":"2024-07-22","cited_by_count":4,"area":null},{"id":"2409.05466","title":"Proto-OOD: Enhancing OOD Object Detection with Prototype Feature Similarity","created":"2024-09-09","cited_by_count":4,"area":null},{"id":"2307.11011","title":"Neuron Sensitivity Guided Test Case Selection for Deep Learning Testing","created":"2023-07-20","cited_by_count":3,"area":null},{"id":"2406.03188","title":"Situation Monitor: Diversity-Driven Zero-Shot Out-of-Distribution Detection using Budding Ensemble Architecture for Object Detection","created":"2024-06-05","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":"2406.15104","title":"Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors","created":"2024-06-21","cited_by_count":2,"area":null},{"id":"2410.08491","title":"Edge Case Detection in Automated Driving: Methods, Challenges, and Future Directions","created":"2024-10-11","cited_by_count":2,"area":null},{"id":"2412.01782","title":"Uncertainty Quantification in Detection Transformers: Object-Level Calibration and Image-Level Reliability","created":"2024-12-02","cited_by_count":2,"area":null},{"id":"2501.08083","title":"Benchmarking Vision Foundation Models for Input Monitoring in Autonomous Driving","created":"2025-01-14","cited_by_count":2,"area":null},{"id":"2503.07330","title":"Revisiting Out-of-Distribution Detection in Real-time Object Detection: From Benchmark Pitfalls to a New Mitigation Paradigm","created":"2025-03-10","cited_by_count":2,"area":null},{"id":"2510.21254","title":"Out-of-Distribution Detection for Safety Assurance of AI and Autonomous Systems","created":"2025-10-24","cited_by_count":2,"area":null},{"id":"2310.08803","title":"Advancing Perception in Artificial Intelligence through Principles of Cognitive Science","created":"2023-10-13","cited_by_count":1,"area":null},{"id":"2402.03292","title":"Detecting Out-of-Distribution Objects through Class-Conditioned Inpainting","created":"2024-02-05","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":"2408.00193","title":"Resilience and Security of Deep Neural Networks Against Intentional and Unintentional Perturbations: Survey and Research Challenges","created":"2024-07-31","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":"2506.23426","title":"Detecting What Matters: A Novel Approach for Out-of-Distribution 3D Object Detection in Autonomous Vehicles","created":"2025-06-29","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":"2603.08180","title":"ALOOD: Exploiting Language Representations for LiDAR-based Out-of-Distribution Object Detection","created":"2026-03-09","cited_by_count":0,"area":null},{"id":"2603.16122","title":"Out-of-Distribution Object Detection in Street Scenes via Synthetic Outlier Exposure and Transfer Learning","created":"2026-03-17","cited_by_count":0,"area":null},{"id":"2604.26411","title":"Unifying Runtime Monitoring Approaches for Safety-Critical Machine Learning: Application to Vision-Based Landing","created":"2026-04-29","cited_by_count":0,"area":null},{"id":"2609.08281","title":"SAM3-O2D2: Zero-Shot Object Out-of-Distribution Detection by Object Class Prompting of the SAM3-Image Model","created":"2026-09-08","cited_by_count":0,"area":null}],"next_cursor":null}