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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
Bichen Wu
Alvin Wan
F. Iandola
Peter H. Jin
Kurt Keutzer
ArXivPDFHTML

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

50 / 163 papers shown
Title
Sense4FL: Vehicular Crowdsensing Enhanced Federated Learning for Autonomous Driving
Sense4FL: Vehicular Crowdsensing Enhanced Federated Learning for Autonomous Driving
Yanan Ma
Senkang Hu
Zhengru Fang
Yun Ji
Yiqin Deng
Yuguang Fang
46
0
0
22 Mar 2025
From COCO to COCO-FP: A Deep Dive into Background False Positives for
  COCO Detectors
From COCO to COCO-FP: A Deep Dive into Background False Positives for COCO Detectors
Longfei Liu
Wen Guo
S. Huang
Cheng Li
Xi Shen
ObjD
38
0
0
12 Sep 2024
Effective Black Box Testing of Sentiment Analysis Classification
  Networks
Effective Black Box Testing of Sentiment Analysis Classification Networks
Parsa Karbasizadeh
Fathiyeh Faghih
Pouria Golshanrad
22
0
0
30 Jul 2024
PrAViC: Probabilistic Adaptation Framework for Real-Time Video
  Classification
PrAViC: Probabilistic Adaptation Framework for Real-Time Video Classification
Magdalena Tredowicz
Łukasz Struski
Marcin Mazur
Szymon Janusz
Arkadiusz Lewicki
Jacek Tabor
28
1
0
17 Jun 2024
LucidPPN: Unambiguous Prototypical Parts Network for User-centric
  Interpretable Computer Vision
LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision
Mateusz Pach
Dawid Rymarczyk
K. Lewandowska
Jacek Tabor
Bartosz Zieliñski
34
7
0
23 May 2024
Bangladeshi Native Vehicle Detection in Wild
Bangladeshi Native Vehicle Detection in Wild
Bipin Saha
Md. Johirul Islam
S. Mostaque
Aditya Bhowmik
Tapodhir Karmakar Taton
Md Nakib Hayat Chowdhury
M. Reaz
29
1
0
20 May 2024
Masked Multi-Query Slot Attention for Unsupervised Object Discovery
Masked Multi-Query Slot Attention for Unsupervised Object Discovery
Rishav Pramanik
José-Fabian Villa-Vásquez
M. Pedersoli
OCL
38
0
0
30 Apr 2024
NeuroFlux: Memory-Efficient CNN Training Using Adaptive Local Learning
NeuroFlux: Memory-Efficient CNN Training Using Adaptive Local Learning
Dhananjay Saikumar
Blesson Varghese
16
1
0
21 Feb 2024
Editable Scene Simulation for Autonomous Driving via Collaborative
  LLM-Agents
Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents
Yuxi Wei
Zi Wang
Yifan Lu
Chenxin Xu
Chang-rui Liu
Hao Zhao
Siheng Chen
Yanfeng Wang
VGen
62
59
0
08 Feb 2024
Scaling Up Quantization-Aware Neural Architecture Search for Efficient
  Deep Learning on the Edge
Scaling Up Quantization-Aware Neural Architecture Search for Efficient Deep Learning on the Edge
Yao Lu
Hiram Rayo Torres Rodriguez
Sebastian Vogel
Nick Van De Waterlaat
P. Jancura
MQ
33
1
0
22 Jan 2024
Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off
Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off
Yatong Bai
Brendon G. Anderson
Somayeh Sojoudi
AAML
22
2
0
26 Nov 2023
Deep Learning-Based Object Detection in Maritime Unmanned Aerial Vehicle
  Imagery: Review and Experimental Comparisons
Deep Learning-Based Object Detection in Maritime Unmanned Aerial Vehicle Imagery: Review and Experimental Comparisons
Chenjie Zhao
Ryan Wen Liu
Jingxiang Qu
Ruobin Gao
27
37
0
14 Nov 2023
Projected Randomized Smoothing for Certified Adversarial Robustness
Projected Randomized Smoothing for Certified Adversarial Robustness
Samuel Pfrommer
Brendon G. Anderson
Somayeh Sojoudi
AAML
21
16
0
25 Sep 2023
ISP meets Deep Learning: A Survey on Deep Learning Methods for Image
  Signal Processing
ISP meets Deep Learning: A Survey on Deep Learning Methods for Image Signal Processing
Matheus Henrique Marques da Silva
Jhessica Victoria Santos da Silva
Rodrigo Reis Arrais
Wladimir Barroso Guedes de Araújo Neto
Leonardo Tadeu Lopes
...
Lucas B. Rondon
Bruno Melo de Souza
Mayara Costa Regazio
Rodolfo Coelho Dalapicola
C. F. G. Santos
SupR
VLM
19
3
0
19 May 2023
A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving
  Services
A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services
Dewant Katare
Diego Perino
J. Nurmi
M. Warnier
Marijn Janssen
Aaron Yi Ding
34
36
0
13 Apr 2023
PixelRNN: In-pixel Recurrent Neural Networks for End-to-end-optimized
  Perception with Neural Sensors
PixelRNN: In-pixel Recurrent Neural Networks for End-to-end-optimized Perception with Neural Sensors
Haley M. So
Laurie Bose
Piotr Dudek
Gordon Wetzstein
15
4
0
11 Apr 2023
Sector Patch Embedding: An Embedding Module Conforming to The Distortion
  Pattern of Fisheye Image
Sector Patch Embedding: An Embedding Module Conforming to The Distortion Pattern of Fisheye Image
Dian Yang
Jiadong Tang
Yu Gao
Yi Yang
M. Fu
18
1
0
26 Mar 2023
Delay-Aware Hierarchical Federated Learning
Delay-Aware Hierarchical Federated Learning
F. Lin
Seyyedali Hosseinalipour
Nicolò Michelusi
Christopher G. Brinton
FedML
18
11
0
22 Mar 2023
Boosting Verified Training for Robust Image Classifications via
  Abstraction
Boosting Verified Training for Robust Image Classifications via Abstraction
Zhaodi Zhang
Zhiyi Xue
Yang Chen
Si Liu
Yueling Zhang
J. Liu
Min Zhang
33
4
0
21 Mar 2023
Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating
  Heterogeneous Lightweight Clients in IoT
Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT
Jiaqi Wang
Shenglai Zeng
Zewei Long
Yaqing Wang
Houping Xiao
Fenglong Ma
19
16
0
05 Mar 2023
Research on road object detection algorithm based on improved YOLOX
Research on road object detection algorithm based on improved YOLOX
Tao Yang
Youyu Wu
Yang Tang
69
1
0
16 Feb 2023
Asymmetric Certified Robustness via Feature-Convex Neural Networks
Asymmetric Certified Robustness via Feature-Convex Neural Networks
Samuel Pfrommer
Brendon G. Anderson
Julien Piet
Somayeh Sojoudi
AAML
12
7
0
03 Feb 2023
DPNet: Dual-Path Network for Real-time Object Detection with Lightweight
  Attention
DPNet: Dual-Path Network for Real-time Object Detection with Lightweight Attention
Quan Zhou
Huiming Shi
Wei Xiang
Bin Kang
Xiaofu Wu
Longin Jan Latecki
ObjD
17
31
0
28 Sep 2022
Domain Engineering for Applied Monocular Reconstruction of Parametric
  Faces
Domain Engineering for Applied Monocular Reconstruction of Parametric Faces
Igor Borovikov
K. Levonyan
Jon Rein
Pawel Wrotek
Nitish Victor
3DH
CVBM
22
0
0
06 Sep 2022
TokenCut: Segmenting Objects in Images and Videos with Self-supervised
  Transformer and Normalized Cut
TokenCut: Segmenting Objects in Images and Videos with Self-supervised Transformer and Normalized Cut
Yangtao Wang
Xiaoke Shen
Yuan. Yuan
Yuming Du
Maomao Li
S. Hu
James L. Crowley
Dominique Vaufreydaz
VOS
ViT
15
76
0
01 Sep 2022
Object Detection for Autonomous Dozers
Object Detection for Autonomous Dozers
Chunfang Liu
Burhaneddin Yaman
19
2
0
17 Aug 2022
Applied monocular reconstruction of parametric faces with domain
  engineering
Applied monocular reconstruction of parametric faces with domain engineering
Igor Borovikov
K. Levonyan
Jon Rein
Pawel Wrotek
Nitish Victor
CVBM
3DH
11
2
0
05 Aug 2022
A Proper Orthogonal Decomposition approach for parameters reduction of
  Single Shot Detector networks
A Proper Orthogonal Decomposition approach for parameters reduction of Single Shot Detector networks
L. Meneghetti
N. Demo
G. Rozza
26
1
0
27 Jul 2022
On Label Granularity and Object Localization
On Label Granularity and Object Localization
Elijah Cole
Kimberly Wilber
Grant Van Horn
Xuan S. Yang
Marco Fornoni
Pietro Perona
Serge J. Belongie
Andrew G. Howard
Oisin Mac Aodha
WSOL
30
13
0
20 Jul 2022
Formalizing and Evaluating Requirements of Perception Systems for
  Automated Vehicles using Spatio-Temporal Perception Logic
Formalizing and Evaluating Requirements of Perception Systems for Automated Vehicles using Spatio-Temporal Perception Logic
Mohammad Hekmatnejad
Bardh Hoxha
Jyotirmoy V. Deshmukh
Yezhou Yang
Georgios Fainekos
20
6
0
29 Jun 2022
Tailored Uncertainty Estimation for Deep Learning Systems
Tailored Uncertainty Estimation for Deep Learning Systems
Joachim Sicking
Maram Akila
Jan David Schneider
Fabian Hüger
Peter Schlicht
Tim Wirtz
Stefan Wrobel
UQCV
29
1
0
29 Apr 2022
FxP-QNet: A Post-Training Quantizer for the Design of Mixed
  Low-Precision DNNs with Dynamic Fixed-Point Representation
FxP-QNet: A Post-Training Quantizer for the Design of Mixed Low-Precision DNNs with Dynamic Fixed-Point Representation
Ahmad Shawahna
S. M. Sait
A. El-Maleh
Irfan Ahmad
MQ
18
6
0
22 Mar 2022
Adversarial Attack and Defense of YOLO Detectors in Autonomous Driving
  Scenarios
Adversarial Attack and Defense of YOLO Detectors in Autonomous Driving Scenarios
Jung Im Choi
Qing Tian
AAML
22
38
0
10 Feb 2022
PrivPAS: A real time Privacy-Preserving AI System and applied ethics
PrivPAS: A real time Privacy-Preserving AI System and applied ethics
S. HarichandanaBS
Vibhav Agarwal
Sourav Ghosh
Gopi Ramena
Sumit Kumar
Barath Raj Kandur Raja
PICV
12
6
0
05 Feb 2022
YOLO-Z: Improving small object detection in YOLOv5 for autonomous
  vehicles
YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehicles
Aduen Benjumea
Izzedin Teeti
Fabio Cuzzolin
Andrew Bradley
ObjD
13
142
0
22 Dec 2021
DriveGuard: Robustification of Automated Driving Systems with Deep
  Spatio-Temporal Convolutional Autoencoder
DriveGuard: Robustification of Automated Driving Systems with Deep Spatio-Temporal Convolutional Autoencoder
A. Papachristodoulou
C. Kyrkou
T. Theocharides
25
2
0
05 Nov 2021
YOLO-ReT: Towards High Accuracy Real-time Object Detection on Edge GPUs
YOLO-ReT: Towards High Accuracy Real-time Object Detection on Edge GPUs
Prakhar Ganesh
Yao Chen
Yin Yang
Deming Chen
Marianne Winslett
ObjD
3DH
27
34
0
26 Oct 2021
ConformalLayers: A non-linear sequential neural network with associative
  layers
ConformalLayers: A non-linear sequential neural network with associative layers
Zhen Wan
Zhuoyuan Mao
C. N. Vasconcelos
14
3
0
23 Oct 2021
AdaCon: Adaptive Context-Aware Object Detection for Resource-Constrained
  Embedded Devices
AdaCon: Adaptive Context-Aware Object Detection for Resource-Constrained Embedded Devices
Marina Neseem
Sherief Reda
ObjD
20
4
0
16 Aug 2021
Exploring Structure Consistency for Deep Model Watermarking
Exploring Structure Consistency for Deep Model Watermarking
Jie M. Zhang
Dongdong Chen
Jing Liao
Han Fang
Zehua Ma
Weiming Zhang
G. Hua
Nenghai Yu
AAML
24
4
0
05 Aug 2021
Accelerating deep neural networks for efficient scene understanding in
  automotive cyber-physical systems
Accelerating deep neural networks for efficient scene understanding in automotive cyber-physical systems
Stavros Nousias
Erion-Vasilis M. Pikoulis
C. Mavrokefalidis
Aris S. Lalos
AI4CE
19
4
0
19 Jul 2021
Joint Matrix Decomposition for Deep Convolutional Neural Networks
  Compression
Joint Matrix Decomposition for Deep Convolutional Neural Networks Compression
Shaowu Chen
Jihao Zhou
Weize Sun
Lei Huang
10
21
0
09 Jul 2021
ScreenSeg: On-Device Screenshot Layout Analysis
ScreenSeg: On-Device Screenshot Layout Analysis
Manoj Goyal
Rachit S Munjal
Sukumar Moharana
Deepak Garg
D. Mohanty
S. Thota
9
1
0
16 Apr 2021
TagMe: GPS-Assisted Automatic Object Annotation in Videos
TagMe: GPS-Assisted Automatic Object Annotation in Videos
Songtao He
F. Bastani
Mohammad Alizadeh
Harinarayanan Balakrishnan
Michael Cafarella
Tim Kraska
Sam Madden
16
0
0
24 Mar 2021
Control Distance IoU and Control Distance IoU Loss Function for Better
  Bounding Box Regression
Control Distance IoU and Control Distance IoU Loss Function for Better Bounding Box Regression
Dong Chen
Duoqian Miao
16
17
0
22 Mar 2021
Compacting Deep Neural Networks for Internet of Things: Methods and
  Applications
Compacting Deep Neural Networks for Internet of Things: Methods and Applications
Ke Zhang
Hanbo Ying
Hongning Dai
Lin Li
Yuangyuang Peng
Keyi Guo
Hongfang Yu
16
38
0
20 Mar 2021
Semi-Decentralized Federated Learning with Cooperative D2D Local Model
  Aggregations
Semi-Decentralized Federated Learning with Cooperative D2D Local Model Aggregations
F. Lin
Seyyedali Hosseinalipour
Sheikh Shams Azam
Christopher G. Brinton
Nicolò Michelusi
FedML
19
109
0
18 Mar 2021
Metalearning: Sparse Variable-Structure Automata
Metalearning: Sparse Variable-Structure Automata
Pedram Fekri
A. Safavi
M. Zadeh
P. Setoodeh
11
0
0
30 Jan 2021
Towards Optimal Branching of Linear and Semidefinite Relaxations for Neural Network Robustness Certification
Towards Optimal Branching of Linear and Semidefinite Relaxations for Neural Network Robustness Certification
Brendon G. Anderson
Ziye Ma
Jingqi Li
Somayeh Sojoudi
55
1
0
22 Jan 2021
Approaching Neural Network Uncertainty Realism
Approaching Neural Network Uncertainty Realism
Joachim Sicking
Alexander Kister
Matthias Fahrland
S. Eickeler
Fabian Hüger
S. Rüping
Peter Schlicht
Tim Wirtz
19
1
0
08 Jan 2021
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