SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection

29 August 2022

Papers citing "SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection"

27 / 27 papers shown

Title
Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution Generalization Lin Zhu Yifeng Yang Zichao Nie Yuan Gao VLM 30 3 0 13 Apr 2025
VisTa: Visual-contextual and Text-augmented Zero-shot Object-level OOD Detection Bin Zhang Xiaoyang Qu Guokuan Li Jiguang Wan Jianzong Wang VLM 54 0 0 28 Mar 2025
Mitigating Hallucinations in YOLO-based Object Detection Models: A Revisit to Out-of-Distribution Detection Weicheng He Changshun Wu Chih-Hong Cheng Xiaowei Huang Saddek Bensalem OODD 46 0 0 10 Mar 2025
Interpreting Object-level Foundation Models via Visual Precision Search Ruoyu Chen Siyuan Liang Jingzhi Li Shiming Liu Maosen Li Zheng Huang Hua Zhang Xiaochun Cao FAtt 82 4 0 25 Nov 2024
On the Inherent Robustness of One-Stage Object Detection against Out-of-Distribution Data Aitor Martinez-Seras Javier Del Ser Alain Andres Pablo García Bringas Pablo Garcia-Bringas OODD 42 0 0 07 Nov 2024
A Systematic Review of Edge Case Detection in Automated Driving: Methods, Challenges and Future Directions Saeed Rahmani Sabine Rieder Erwin de Gelder Marcel Sonntag Jorge Lorente Mallada Sytze Kalisvaart Vahid Hashemi Simeon C. Calvert 39 0 0 11 Oct 2024
Proto-OOD: Enhancing OOD Object Detection with Prototype Feature Similarity Junkun Chen Jilin Mei Liang Chen Fangzhou Zhao Yu Hu Yu Hu ObjD 40 0 0 09 Sep 2024
Can OOD Object Detectors Learn from Foundation Models? Jiahui Liu Xin Wen Shizhen Zhao Y. Chen Xiaojuan Qi OODD 38 2 0 08 Sep 2024
On the Potential of Open-Vocabulary Models for Object Detection in Unusual Street Scenes Sadia Ilyas Ido Freeman Matthias Rottmann ObjD 48 3 0 20 Aug 2024
Resilience and Security of Deep Neural Networks Against Intentional and Unintentional Perturbations: Survey and Research Challenges Sazzad Sayyed Milin Zhang Shahriar Rifat A. Swami Michael De Lucia Francesco Restuccia 28 1 0 31 Jul 2024
Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier Synthesis Brian K. S. Isaac-Medina Yona Falinie A. Gaus Neelanjan Bhowmik T. Breckon 23 2 0 22 Jul 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors Peter Lorenz Mario Fernandez Jens Müller Ullrich Kothe AAML 78 1 0 21 Jun 2024
DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection Jia Syuen Lim Zhuoxiao Chen Mahsa Baktashmotlagh Zhi Chen Xin Yu Zi Huang Yadan Luo VLM ObjD 82 1 0 21 Jun 2024
Large-Scale Evaluation of Open-Set Image Classification Techniques Halil Bisgin Andres Palechor Mike Suter Manuel Günther 30 1 0 13 Jun 2024
Situation Monitor: Diversity-Driven Zero-Shot Out-of-Distribution Detection using Budding Ensemble Architecture for Object Detection Qutub Syed Michael Paulitsch Korbinian Hagn Neslihan Kose Cihangir Kay-Ulrich Scholl Fabian Oboril Gereon Hinz Alois C. Knoll OODD 48 1 0 05 Jun 2024
Revisiting Out-of-Distribution Detection in LiDAR-based 3D Object Detection Michael Kösel M. Schreiber Michael Ulrich Claudius Gläser Klaus C. J. Dietmayer OODD 3DPC 52 3 0 24 Apr 2024
Zero-shot Object-Level OOD Detection with Context-Aware Inpainting Quang-Huy Nguyen Jin Peng Zhou Zhenzhen Liu Khanh-Huyen Bui Kilian Q. Weinberger Dung D. Le 18 1 0 05 Feb 2024
BatchNorm-based Weakly Supervised Video Anomaly Detection Yixuan Zhou Yi Qu Xing Xu Fumin Shen Jingkuan Song Hengtao Shen 20 18 0 26 Nov 2023
Advancing Perception in Artificial Intelligence through Principles of Cognitive Science Palaash Agrawal Cheston Tan Heena Rathore 54 1 0 13 Oct 2023
Neuron Sensitivity Guided Test Case Selection for Deep Learning Testing Dong Huang Qi Bu Yichao Fu Yuhao Qing Junjie Chen Heming Cui AAML 29 2 0 20 Jul 2023
Out-of-Distribution Detection for LiDAR-based 3D Object Detection Chengjie Huang Van Duong Nguyen Vahdat Abdelzad Christopher Gus Mannes Luke Rowe Benjamin Therien Rick Salay Krzysztof Czarnecki OODD 3DPC 142 18 0 28 Sep 2022
VOS: Learning What You Don't Know by Virtual Outlier Synthesis Xuefeng Du Zhaoning Wang Mu Cai Yixuan Li OODD 178 304 0 02 Feb 2022
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 185 877 0 21 Oct 2021
Open-Set Recognition: a Good Closed-Set Classifier is All You Need? S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman BDL 169 405 0 12 Oct 2021
On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang Andrew Geng Yixuan Li 195 328 0 01 Oct 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,194 0 01 Sep 2014