What's in the Black Box? The False Negative Mechanisms Inside Object Detectors

15 March 2022

Papers citing "What's in the Black Box? The False Negative Mechanisms Inside Object Detectors"

7 / 7 papers shown

Title
Synergistic Perception and Control Simplex for Verifiable Safe Vertical Landing Ayoosh Bansal Yang Zhao James Zhu Sheng Cheng Yuliang Gu Hyung-Jin Yoon Hunmin Kim N. Hovakimyan Lui Sha 26 2 0 05 Dec 2023
Enhancing Your Trained DETRs with Box Refinement Yiqun Chen Qiang Chen Pei Sun Shoufa Chen Jingdong Wang Jian Cheng 35 2 0 21 Jul 2023
Task-Aware Risk Estimation of Perception Failures for Autonomous Vehicles Pasquale Antonante Sushant Veer Zheng Li Xinshuo Weng Luca Carlone Marco Pavone 51 9 0 03 May 2023
Perception Simplex: Verifiable Collision Avoidance in Autonomous Vehicles Amidst Obstacle Detection Faults Ayoosh Bansal Hunmin Kim Simon Yu Bo-wen Li N. Hovakimyan Marco Caccamo L. Sha AAML 37 4 0 04 Sep 2022
SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection Samuel Wilson Tobias Fischer Feras Dayoub Dimity Miller Niko Sünderhauf OODD 31 29 0 29 Aug 2022
Monitoring of Perception Systems: Deterministic, Probabilistic, and Learning-based Fault Detection and Identification Pasquale Antonante Heath Nilsen Luca Carlone 47 24 0 22 May 2022
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,225 0 16 Nov 2016