A Survey of Deep Learning Techniques for Autonomous Driving

17 October 2019

Papers citing "A Survey of Deep Learning Techniques for Autonomous Driving"

50 / 139 papers shown

Title
Recurrent Generic Contour-based Instance Segmentation with Progressive Learning Hao Feng Keyi Zhou Wen-gang Zhou Yufei Yin Jiajun Deng Qi Sun Houqiang Li SSeg ISeg 45 12 0 21 Jan 2023
A Comprehensive Survey of Dataset Distillation Shiye Lei Dacheng Tao DD 31 87 0 13 Jan 2023
Towards Dependable Autonomous Systems Based on Bayesian Deep Learning Components F. Arnez H. Espinoza A. Radermacher F. Terrier UQCV 21 4 0 12 Jan 2023
Tuning Path Tracking Controllers for Autonomous Cars Using Reinforcement Learning Ana Carrasco J. Sequeira 13 2 0 09 Jan 2023
MIGPerf: A Comprehensive Benchmark for Deep Learning Training and Inference Workloads on Multi-Instance GPUs Huaizheng Zhang Yuanming Li Wencong Xiao Yizheng Huang Xing Di Jianxiong Yin Simon See Yong Luo C. Lau Yang You VLM 16 3 0 01 Jan 2023
ExploreADV: Towards exploratory attack for Neural Networks Tianzuo Luo Yuyi Zhong S. Khoo AAML 24 1 0 01 Jan 2023
Enhancing Quantum Adversarial Robustness by Randomized Encodings Weiyuan Gong D. Yuan Weikang Li D. Deng AAML 24 19 0 05 Dec 2022
VeriX: Towards Verified Explainability of Deep Neural Networks Min Wu Haoze Wu Clark W. Barrett AAML 42 10 0 02 Dec 2022
Attribution-based XAI Methods in Computer Vision: A Review Kumar Abhishek Deeksha Kamath 32 18 0 27 Nov 2022
Discovering Closed-Loop Failures of Vision-Based Controllers via Reachability Analysis Kaustav Chakraborty Somil Bansal 33 11 0 04 Nov 2022
ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations Badr Youbi Idrissi Diane Bouchacourt Randall Balestriero Ivan Evtimov C. Hazirbas Nicolas Ballas Pascal Vincent M. Drozdzal David Lopez-Paz Mark Ibrahim VLM ViT 51 45 0 03 Nov 2022
Verifying And Interpreting Neural Networks using Finite Automata Marco Sälzer Eric Alsmann Florian Bruse M. Lange AAML 27 3 0 02 Nov 2022
Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving L. Yu Yifan Zhang Lanqing Hong Fei Chen Zhenguo Li 43 3 0 17 Oct 2022
RoHNAS: A Neural Architecture Search Framework with Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks Alberto Marchisio Vojtěch Mrázek Andrea Massa Beatrice Bussolino Maurizio Martina Muhammad Shafique AAML 40 5 0 11 Oct 2022
Wheel Impact Test by Deep Learning: Prediction of Location and Magnitude of Maximum Stress S. Shin Ah-hyeon Jin Soyoung Yoo Sunghee Lee Chang-Gone Kim S. Heo Namwoo Kang 24 11 0 03 Oct 2022
Adversarial Attacks on Transformers-Based Malware Detectors Yash Jakhotiya Heramb Patil Jugal Rawlani Dr. Sunil B. Mane AAML 17 4 0 01 Oct 2022
Feature-based model selection for object detection from point cloud data Kairi Tokuda R. Shinkuma Takehiro Sato E. Oki 3DPC 32 1 0 26 Sep 2022
Partially Observable Markov Decision Processes in Robotics: A Survey M. Lauri David Hsu Joni Pajarinen 64 96 0 21 Sep 2022
Towards Improving Calibration in Object Detection Under Domain Shift Muhammad Akhtar Munir M. H. Khan M. Sarfraz Mohsen Ali 19 22 0 15 Sep 2022
Understanding Time Variations of DNN Inference in Autonomous Driving Liangkai Liu Yanzhi Wang Weisong Shi AI4TS AI4CE 25 6 0 12 Sep 2022
A New Approach to Training Multiple Cooperative Agents for Autonomous Driving Ruiyang Yang Siheng Li Beihong Jin 26 0 0 05 Sep 2022
Unrestricted Black-box Adversarial Attack Using GAN with Limited Queries Dongbin Na Sangwoo Ji Jong Kim AAML 35 17 0 24 Aug 2022
Design of secure and robust cognitive system for malware detection Sanket Shukla AAML 21 2 0 03 Aug 2022
OLLIE: Derivation-based Tensor Program Optimizer Liyan Zheng Haojie Wang Jidong Zhai Muyan Hu Zixuan Ma Tuowei Wang Shizhi Tang Lei Xie Kezhao Huang Zhihao Jia 46 3 0 02 Aug 2022
Towards Efficient Communications in Federated Learning: A Contemporary Survey Zihao Zhao Yuzhu Mao Yang Liu Linqi Song Ouyang Ye Xinlei Chen Wenbo Ding FedML 54 60 0 02 Aug 2022
On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel Shubhi Shukla Manaar Alam Sarani Bhattacharya Debdeep Mukhopadhyay Pabitra Mitra AAML 25 2 0 01 Aug 2022
Statistical Hypothesis Testing Based on Machine Learning: Large Deviations Analysis P. Braca L. Millefiori A. Aubry S. Maranò A. De Maio P. Willett 29 12 0 22 Jul 2022
AugRmixAT: A Data Processing and Training Method for Improving Multiple Robustness and Generalization Performance Xiaoliang Liu S. Furao Jian Zhao Changhai Nie AAML 15 1 0 21 Jul 2022
GAMa: Cross-view Video Geo-localization Shruti Vyas Chong Chen M. Shah AI4TS 15 16 0 06 Jul 2022
Incorporating Voice Instructions in Model-Based Reinforcement Learning for Self-Driving Cars Mingze Wang Ziyang Zhang Grace Hui Yang 23 1 0 21 Jun 2022
Density Regression and Uncertainty Quantification with Bayesian Deep Noise Neural Networks Daiwei Zhang Tianci Liu Jian Kang BDL UQCV 35 2 0 12 Jun 2022
Training Uncertainty-Aware Classifiers with Conformalized Deep Learning Bat-Sheva Einbinder Yaniv Romano Matteo Sesia Yanfei Zhou UQCV 23 48 0 12 May 2022
Object Level Depth Reconstruction for Category Level 6D Object Pose Estimation From Monocular RGB Image Zhaoxin Fan Zhenbo Song Jian Xu Zhicheng Wang Kejian Wu Hongyan Liu Jun He 47 31 0 04 Apr 2022
Knowledge-based Entity Prediction for Improved Machine Perception in Autonomous Systems Ruwan Wickramarachchi C. Henson A. Sheth 33 12 0 30 Mar 2022
A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration R. Hebbalaguppe Jatin Prakash Neelabh Madan Chetan Arora UQCV 25 42 0 25 Mar 2022
FlexBlock: A Flexible DNN Training Accelerator with Multi-Mode Block Floating Point Support Seock-Hwan Noh Jahyun Koo Seunghyun Lee Jongse Park Jaeha Kung AI4CE 32 17 0 13 Mar 2022
Interpretable part-whole hierarchies and conceptual-semantic relationships in neural networks Nicola Garau N. Bisagno Zeno Sambugaro Nicola Conci 32 21 0 07 Mar 2022
Evaluating Object (mis)Detection from a Safety and Reliability Perspective: Discussion and Measures Andrea Ceccarelli Leonardo Montecchi 27 10 0 04 Mar 2022
Attacks and Faults Injection in Self-Driving Agents on the Carla Simulator -- Experience Report Niccolò Piazzesi Massimo Hong Andrea Ceccarelli AAML 16 5 0 25 Feb 2022
Estimation of Looming from LiDAR J. Yepes D. Raviv 20 0 0 22 Feb 2022
Coverage-Guided Tensor Compiler Fuzzing with Joint IR-Pass Mutation Jiawei Liu Yuxiang Wei Sen Yang Yinlin Deng Lingming Zhang 25 41 0 21 Feb 2022
Adversarial Attack and Defense of YOLO Detectors in Autonomous Driving Scenarios Jung Im Choi Qing Tian AAML 30 38 0 10 Feb 2022
Calibrated Learning to Defer with One-vs-All Classifiers Rajeev Verma Eric Nalisnick 21 42 0 08 Feb 2022
Towards Training Reproducible Deep Learning Models Boyuan Chen Mingzhi Wen Yong Shi Dayi Lin Gopi Krishnan Rajbahadur Zhen Ming Z. Jiang SyDa 15 37 0 04 Feb 2022
Learning to Prompt for Continual Learning Zifeng Wang Zizhao Zhang Chen-Yu Lee Han Zhang Ruoxi Sun Xiaoqi Ren Guolong Su Vincent Perot Jennifer Dy Tomas Pfister CLL VPVLM KELM VLM 22 738 0 16 Dec 2021
A Deep Learning Driven Algorithmic Pipeline for Autonomous Navigation in Row-Based Crops Simone Cerrato Vittorio Mazzia Francesco Salvetti Mauro Martini Simone Angarano Alessandro Navone Marcello Chiaberge 31 14 0 07 Dec 2021
Image prediction of disease progression by style-based manifold extrapolation T. Han Jakob Nikolas Kather F. Pedersoli M. Zimmermann S. Keil ... Fabian Kiessling Volkmar Schulz Christiane Kuhl S. Nebelung Daniel Truhn MedIm 21 3 0 22 Nov 2021
Yaw-Guided Imitation Learning for Autonomous Driving in Urban Environments Yandong Liu Chengzhong Xu Hui Kong 21 0 0 11 Nov 2021
Using Graph-Theoretic Machine Learning to Predict Human Driver Behavior Rohan Chandra Aniket Bera Tianyi Zhou 54 22 0 04 Nov 2021
LTD: Low Temperature Distillation for Robust Adversarial Training Erh-Chung Chen Che-Rung Lee AAML 24 26 0 03 Nov 2021