Introspective Perception: Learning to Predict Failures in Vision Systems

Introspective Perception: Learning to Predict Failures in Vision Systems

28 July 2016

J. Andrew Bagnell

Papers citing "Introspective Perception: Learning to Predict Failures in Vision Systems"

17 / 17 papers shown

Title
Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress Christopher Agia Rohan Sinha Jingyun Yang Zi-ang Cao Rika Antonova Marco Pavone Jeannette Bohg 49 7 0 06 Oct 2024
Error Detection and Constraint Recovery in Hierarchical Multi-Label Classification without Prior Knowledge Joshua Shay Kricheli Khoa Vo Aniruddha Datta Spencer Ozgur Paulo Shakarian 42 2 0 21 Jul 2024
Rule-Based Error Detection and Correction to Operationalize Movement Trajectory Classification B. Xi Kevin Scaria Paulo Shakarian Paulo Shakarian 34 2 0 28 Aug 2023
Semantic Anomaly Detection with Large Language Models Amine Elhafsi Rohan Sinha Christopher Agia Edward Schmerling I. Nesnas Marco Pavone 42 65 0 18 May 2023
Data-Efficient Policy Selection for Navigation in Partial Maps via Subgoal-Based Abstraction Abhishek Paudel Gregory J. Stein 28 1 0 03 Apr 2023
An Independent Evaluation of ChatGPT on Mathematical Word Problems (MWP) Paulo Shakarian Abhinav Koyyalamudi Noel Ngu Lakshmivihari Mareedu 42 64 0 23 Feb 2023
Learning for Robot Decision Making under Distribution Shift: A Survey Abhishek Paudel OOD OffRL 43 5 0 14 Mar 2022
Towards Disturbance-Free Visual Mobile Manipulation Tianwei Ni Kiana Ehsani Luca Weihs Jordi Salvador 28 9 0 17 Dec 2021
Competence-Aware Path Planning via Introspective Perception Sadegh Rabiee Connor Basich K. H. Wray S. Zilberstein Joydeep Biswas LRM 42 7 0 28 Sep 2021
Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes Jongseo Lee Jianxiang Feng Matthias Humt M. Müller Rudolph Triebel UQCV 53 21 0 20 Sep 2021
FSNet: A Failure Detection Framework for Semantic Segmentation Q. Rahman Niko Sünderhauf Peter Corke Feras Dayoub UQCV SSeg 40 20 0 19 Aug 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 66 1,112 0 07 Jul 2021
Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends Q. Rahman Peter Corke Feras Dayoub OOD 44 51 0 05 Jan 2021
Testing and verification of neural-network-based safety-critical control software: A systematic literature review Jin Zhang Jingyue Li 25 47 0 05 Oct 2019
Learning Single-Image Depth from Videos using Quality Assessment Networks Weifeng Chen Shengyi Qian Jia Deng 30 67 0 25 Jun 2018
Failing to Learn: Autonomously Identifying Perception Failures for Self-driving Cars M. Ramanagopal Cyrus Anderson Ram Vasudevan Matthew Johnson-Roberson 35 104 0 30 Jun 2017
Uncertainty-Aware Reinforcement Learning for Collision Avoidance G. Kahn Adam R. Villaflor Vitchyr H. Pong Pieter Abbeel Sergey Levine 35 312 0 03 Feb 2017