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

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

29 August 2022

Niko Sünderhauf

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

15 / 15 papers shown

Title
VisTa: Visual-contextual and Text-augmented Zero-shot Object-level OOD Detection Bin Zhang Xiaoyang Qu Guokuan Li Jiguang Wan Jianzong Wang VLM 51 0 0 28 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 40 0 0 07 Nov 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
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 65 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 70 1 0 21 Jun 2024
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 129 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 174 220 0 02 Feb 2022
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 171 870 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 161 401 0 12 Oct 2021
On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang Andrew Geng Yixuan Li 173 324 0 01 Oct 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 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 279 39,083 0 01 Sep 2014