Monitoring Object Detection Abnormalities via Data-Label and
Post-Algorithm Abstractions

Monitoring Object Detection Abnormalities via Data-Label and Post-Algorithm Abstractions

29 March 2021

Chih-Hong Cheng

Papers citing "Monitoring Object Detection Abnormalities via Data-Label and Post-Algorithm Abstractions"

11 / 11 papers shown

Title
Distribution-free binary classification: prediction sets, confidence intervals and calibration Chirag Gupta Aleksandr Podkopaev Aaditya Ramdas UQCV 57 81 0 18 Jun 2020
Outside the Box: Abstraction-Based Monitoring of Neural Networks T. Henzinger Anna Lukina Christian Schilling AAML 44 59 0 20 Nov 2019
Runtime Monitoring Neuron Activation Patterns Chih-Hong Cheng Georg Nührenberg Hirotoshi Yasuoka 29 75 0 18 Sep 2018
Real-time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification Long Chen H. Ai Zijie Zhuang C. Shang VOT 32 376 0 12 Sep 2018
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 199 5,774 0 14 Jun 2017
Simple Online and Realtime Tracking with a Deep Association Metric N. Wojke Alex Bewley Dietrich Paulus VOT 383 3,492 0 21 Mar 2017
Speed/accuracy trade-offs for modern convolutional object detectors Jonathan Huang V. Rathod Chen Sun Menglong Zhu Anoop Korattikara Balan ... Ian S. Fischer Z. Wojna Yang Song S. Guadarrama Kevin Patrick Murphy 3DH 3DV 80 2,567 0 30 Nov 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 103 3,420 0 07 Oct 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 476 9,233 0 06 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 412 61,900 0 04 Jun 2015
High-Speed Tracking with Kernelized Correlation Filters João F. Henriques Rui Caseiro P. Martins Jorge Batista 64 5,126 0 30 Apr 2014