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

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"

13 / 163 papers shown

Title
Tiny SSD: A Tiny Single-shot Detection Deep Convolutional Neural Network for Real-time Embedded Object Detection A. Wong M. Shafiee Francis Li Brendan Chwyl ObjD 18 148 0 19 Feb 2018
ReMotENet: Efficient Relevant Motion Event Detection for Large-scale Home Surveillance Videos Ruichi Yu Hongcheng Wang L. Davis 16 23 0 06 Jan 2018
Integrated Model, Batch and Domain Parallelism in Training Neural Networks A. Gholami A. Azad Peter H. Jin Kurt Keutzer A. Buluç 18 82 0 12 Dec 2017
Fast Recurrent Fully Convolutional Networks for Direct Perception in Autonomous Driving Yiqi Hou Sascha Hornauer K. Zipser 22 19 0 17 Nov 2017
A Survey of Model Compression and Acceleration for Deep Neural Networks Yu Cheng Duo Wang Pan Zhou Zhang Tao 40 1,087 0 23 Oct 2017
SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud Bichen Wu Alvin Wan Xiangyu Yue Kurt Keutzer 3DPC 27 797 0 19 Oct 2017
Keynote: Small Neural Nets Are Beautiful: Enabling Embedded Systems with Small Deep-Neural-Network Architectures F. Iandola Kurt Keutzer 23 37 0 07 Oct 2017
Systematic Testing of Convolutional Neural Networks for Autonomous Driving T. Dreossi Shromona Ghosh Alberto L. Sangiovanni-Vincentelli S. Seshia 26 60 0 10 Aug 2017
Towards lightweight convolutional neural networks for object detection Dmitriy Anisimov T. Khanova ObjD 16 40 0 05 Jul 2017
LCDet: Low-Complexity Fully-Convolutional Neural Networks for Object Detection in Embedded Systems Subarna Tripathi G. Dane Byeongkeun Kang V. Bhaskaran Truong Thao Nguyen ObjD 38 37 0 16 May 2017
Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale F. Iandola 3DV 26 18 0 20 Dec 2016
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation Adam Paszke Abhishek Chaurasia Sangpil Kim Eugenio Culurciello SSeg 235 2,056 0 07 Jun 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling Vijay Badrinarayanan Ankur Handa R. Cipolla SSeg 169 793 0 27 May 2015