SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving

4 December 2016

Papers citing "SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving"

50 / 163 papers shown

Title
Wasserstein Dropout Joachim Sicking Maram Akila Maximilian Pintz Tim Wirtz Asja Fischer Stefanie Wrobel BDL OOD UQCV 24 1 0 23 Dec 2020
Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net Wenjie Luo Binh Yang R. Urtasun 3DPC 26 617 0 22 Dec 2020
Computer Stereo Vision for Autonomous Driving Rui Fan Li Wang M. J. Bocus Ioannis Pitas 3DV 44 33 0 06 Dec 2020
Traffic Surveillance using Vehicle License Plate Detection and Recognition in Bangladesh Md. Saif Hassan Onim M. Akash M. Haque Raiyan Ibne Hafiz ViT 11 15 0 03 Dec 2020
Where Should We Begin? A Low-Level Exploration of Weight Initialization Impact on Quantized Behaviour of Deep Neural Networks S. Yun A. Wong MQ 7 4 0 30 Nov 2020
Bringing AI To Edge: From Deep Learning's Perspective Di Liu Hao Kong Xiangzhong Luo Weichen Liu Ravi Subramaniam 52 116 0 25 Nov 2020
FRDet: Balanced and Lightweight Object Detector based on Fire-Residual Modules for Embedded Processor of Autonomous Driving Seontaek Oh Jihwan You Young-Keun Kim ObjD 9 5 0 16 Nov 2020
On-Device Language Identification of Text in Images using Diacritic Characters Shubham Vatsal Nikhil Arora Gopi Ramena Sukumar Moharana Dhruval Jain Naresh Purre Rachit S Munjal 6 4 0 10 Nov 2020
Recurrent Neural Networks for video object detection A. Qasim Arnd Pettirsch ObjD 19 4 0 29 Oct 2020
Dynamic Adversarial Patch for Evading Object Detection Models Shahar Hoory T. Shapira A. Shabtai Yuval Elovici AAML 18 40 0 25 Oct 2020
Scenic: A Language for Scenario Specification and Data Generation Daniel J. Fremont Edward J. Kim T. Dreossi Shromona Ghosh Xiangyu Yue Alberto L. Sangiovanni-Vincentelli S. Seshia 29 97 0 13 Oct 2020
EfficientNet-eLite: Extremely Lightweight and Efficient CNN Models for Edge Devices by Network Candidate Search Ching-Chen Wang Ching-Te Chiu Jheng-Yi Chang 25 19 0 16 Sep 2020
Modification method for single-stage object detectors that allows to exploit the temporal behaviour of a scene to improve detection accuracy M. Gevorgyan ObjD 11 0 0 03 Sep 2020
RGB cameras failures and their effects in autonomous driving applications Andrea Ceccarelli Francesco Secci 14 31 0 13 Aug 2020
DAWN: Vehicle Detection in Adverse Weather Nature Dataset Mourad A. Kenk M. Hassaballah 13 94 0 12 Aug 2020
Improving Multispectral Pedestrian Detection by Addressing Modality Imbalance Problems Kailai Zhou Linsen Chen Xun Cao 23 177 0 07 Aug 2020
Modeling Data Reuse in Deep Neural Networks by Taking Data-Types into Cognizance N. Jha Sparsh Mittal 22 16 0 06 Aug 2020
A Data Augmentation-based Defense Method Against Adversarial Attacks in Neural Networks Yi Zeng Han Qiu G. Memmi Meikang Qiu AAML 21 49 0 30 Jul 2020
DeepPeep: Exploiting Design Ramifications to Decipher the Architecture of Compact DNNs N. Jha Sparsh Mittal Binod Kumar Govardhan Mattela AAML 18 12 0 30 Jul 2020
Accurate, Low-Latency Visual Perception for Autonomous Racing:Challenges, Mechanisms, and Practical Solutions Kieran L. Strobel Sibo Zhu Raphael Chang Skanda Koppula 43 24 0 28 Jul 2020
Weakly Supervised 3D Object Detection from Point Clouds Zengyi Qin Jinglu Wang Yan Lu 3DPC 77 62 0 28 Jul 2020
Depthwise Spatio-Temporal STFT Convolutional Neural Networks for Human Action Recognition Sudhakar Kumawat Manisha Verma Yuta Nakashima Shanmuganathan Raman 141 42 0 22 Jul 2020
Low-Power Object Counting with Hierarchical Neural Networks Abhinav Goel Caleb Tung Sarah Aghajanzadeh Isha Ghodgaonkar Shreya Ghosh George K. Thiruvathukal Yung-Hsiang Lu 6 9 0 02 Jul 2020
Object Detection Under Rainy Conditions for Autonomous Vehicles: A Review of State-of-the-Art and Emerging Techniques Mazin Hnewa H. Radha 8 139 0 30 Jun 2020
Hybrid Tensor Decomposition in Neural Network Compression Bijiao Wu Dingheng Wang Guangshe Zhao Lei Deng Guoqi Li 25 46 0 29 Jun 2020
Neural Network Activation Quantization with Bitwise Information Bottlenecks Xichuan Zhou Kui Liu Cong Shi Haijun Liu Ji Liu MQ 24 1 0 09 Jun 2020
False Positive Removal for 3D Vehicle Detection with Penetrated Point Classifier Sungmin Woo Sangwon Hwang Woojin Kim Junhyeop Lee Dogyoon Lee Sangyoun Lee 3DPC 14 0 0 27 May 2020
MobileDets: Searching for Object Detection Architectures for Mobile Accelerators Yunyang Xiong Hanxiao Liu Suyog Gupta Berkin Akin Gabriel Bender Yongzhe Wang Pieter-Jan Kindermans Mingxing Tan Vikas Singh Bo Chen ObjD 27 132 0 30 Apr 2020
Zeus: A System Description of the Two-Time Winner of the Collegiate SAE AutoDrive Competition Keenan Burnett Jingxing Qian Xintong Du Linqiao Liu David J. Yoon ... Quinlan Sykora Shichen Lu Yizhou Huang Angela P. Schoellig T. Barfoot SSeg 9 18 0 19 Apr 2020
NNV: The Neural Network Verification Tool for Deep Neural Networks and Learning-Enabled Cyber-Physical Systems Hoang-Dung Tran Xiaodong Yang Diego Manzanas Lopez Patrick Musau L. V. Nguyen Weiming Xiang Stanley Bak Taylor T. Johnson 29 237 0 12 Apr 2020
SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation Chenfeng Xu Bichen Wu Zining Wang Wei Zhan Peter Vajda Kurt Keutzer M. Tomizuka 3DPC 24 353 0 03 Apr 2020
Tightened Convex Relaxations for Neural Network Robustness Certification Brendon G. Anderson Ziye Ma Jingqi Li Somayeh Sojoudi AAML 16 32 0 01 Apr 2020
DeepCrashTest: Turning Dashcam Videos into Virtual Crash Tests for Automated Driving Systems Sai Krishna Bashetty H. B. Amor Georgios Fainekos 20 18 0 26 Mar 2020
Cluster Pruning: An Efficient Filter Pruning Method for Edge AI Vision Applications Chinthaka Gamanayake Lahiru Jayasinghe Benny Kai Kiat Ng Chau Yuen VLM 23 45 0 05 Mar 2020
Comprehensive and Efficient Data Labeling via Adaptive Model Scheduling Mu Yuan Lan Zhang Xiangyang Li Hui Xiong VLM 13 17 0 08 Feb 2020
SqueezeWave: Extremely Lightweight Vocoders for On-device Speech Synthesis Bohan Zhai Tianren Gao Flora Xue D. Rothchild Bichen Wu Joseph E. Gonzalez Kurt Keutzer 13 27 0 16 Jan 2020
PreVIous: A Methodology for Prediction of Visual Inference Performance on IoT Devices Delia Velasco-Montero Jorge Fernández-Berni R. Carmona-Galán Á. Rodríguez-Vázquez 22 21 0 13 Dec 2019
An Improving Framework of regularization for Network Compression E. Zhenqian Weiguo Gao AI4CE 14 0 0 11 Dec 2019
MDFN: Multi-Scale Deep Feature Learning Network for Object Detection Wenchi Ma Yuanwei Wu Feng Cen Guanghui Wang ObjD 14 134 0 10 Dec 2019
MnasFPN: Learning Latency-aware Pyramid Architecture for Object Detection on Mobile Devices Bo Chen Golnaz Ghiasi Hanxiao Liu Nayeon Lee Dmitry Kalenichenko Hartwig Adam Quoc V. Le ObjD 33 53 0 02 Dec 2019
A Programmatic and Semantic Approach to Explaining and DebuggingNeural Network Based Object Detectors Edward J. Kim D. Gopinath C. Păsăreanu S. Seshia 8 26 0 01 Dec 2019
Domain-Aware Dynamic Networks Tianyuan Zhang Bichen Wu Xin Wang Joseph E. Gonzalez Kurt Keutzer 24 6 0 26 Nov 2019
VisionISP: Repurposing the Image Signal Processor for Computer Vision Applications Chyuan-Tyng Wu Leo F. Isikdogan R. Sushma Bhavin V. Nayak Timo Gerasimow Aleksandar Sutic Liron Ain-kedem G. Michael VLM 19 35 0 14 Nov 2019
Directed-Weighting Group Lasso for Eltwise Blocked CNN Pruning Ke Zhan Shi-qiang Jiang Yunru Bai Y. Li Xu Liu Zhuoran Xu 13 0 0 21 Oct 2019
Aerial Images Processing for Car Detection using Convolutional Neural Networks: Comparison between Faster R-CNN and YoloV3 Adel Ammar Anis Koubaa Mohanned Ahmed Abdulrahman Saad Bilel Benjdira 14 89 0 16 Oct 2019
Orchestrating the Development Lifecycle of Machine Learning-Based IoT Applications: A Taxonomy and Survey Bin Qian Jie Su Z. Wen D. N. Jha Yinhao Li ... Albert Y. Zomaya Omer F. Rana Lizhe Wang Maciej Koutny R. Ranjan 20 4 0 11 Oct 2019
YOLO Nano: a Highly Compact You Only Look Once Convolutional Neural Network for Object Detection A. Wong M. Famouri M. Shafiee Muqun Li Brendan Chwyl Khaldoun Zine El Abidine ObjD 14 104 0 03 Oct 2019
Analyzing and Improving Neural Networks by Generating Semantic Counterexamples through Differentiable Rendering Lakshya Jain Varun Chandrasekaran Uyeong Jang Wilson Wu Andrew Lee Andy Yan Steven Chen S. Jha S. Seshia AAML 13 11 0 02 Oct 2019
Development of Fast Refinement Detectors on AI Edge Platforms Min-Kook Choi Heechul Jung ObjD 14 2 0 24 Sep 2019
High-Throughput In-Memory Computing for Binary Deep Neural Networks with Monolithically Integrated RRAM and 90nm CMOS Shihui Yin Xiaoyu Sun Shimeng Yu Jae-sun Seo MQ 4 104 0 16 Sep 2019