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CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on
  Embedded FPGAs

CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on Embedded FPGAs

12 June 2020
Zhen Dong
Dequan Wang
Qijing Huang
Yizhao Gao
Yaohui Cai
Tian Li
Bichen Wu
Kurt Keutzer
J. Wawrzynek
    ObjD
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Papers citing "CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on Embedded FPGAs"

34 / 34 papers shown
Title
ResNeSt: Split-Attention Networks
ResNeSt: Split-Attention Networks
Hang Zhang
Chongruo Wu
Zhongyue Zhang
Yi Zhu
Yanghua Peng
...
Tong He
Jonas W. Mueller
R. Manmatha
Mu Li
Alex Smola
94
1,477
0
19 Apr 2020
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks
Zhen Dong
Z. Yao
Yaohui Cai
Daiyaan Arfeen
A. Gholami
Michael W. Mahoney
Kurt Keutzer
MQ
84
279
0
10 Nov 2019
SkyNet: A Champion Model for DAC-SDC on Low Power Object Detection
SkyNet: A Champion Model for DAC-SDC on Low Power Object Detection
Xiaofan Zhang
Cong Hao
Haoming Lu
Jiachen Li
Yuhong Li
...
Jinjun Xiong
Thomas Huang
Honghui Shi
Wen-mei W. Hwu
Deming Chen
58
20
0
25 Jun 2019
HAWQ: Hessian AWare Quantization of Neural Networks with Mixed-Precision
HAWQ: Hessian AWare Quantization of Neural Networks with Mixed-Precision
Zhen Dong
Z. Yao
A. Gholami
Michael W. Mahoney
Kurt Keutzer
MQ
77
526
0
29 Apr 2019
Blurring the Line Between Structure and Learning to Optimize and Adapt
  Receptive Fields
Blurring the Line Between Structure and Learning to Optimize and Adapt Receptive Fields
Evan Shelhamer
Dequan Wang
Trevor Darrell
62
35
0
25 Apr 2019
CornerNet-Lite: Efficient Keypoint Based Object Detection
CornerNet-Lite: Efficient Keypoint Based Object Detection
Hei Law
Yun Teng
Olga Russakovsky
Jia Deng
77
175
0
18 Apr 2019
CenterNet: Keypoint Triplets for Object Detection
CenterNet: Keypoint Triplets for Object Detection
Kaiwen Duan
S. Bai
Lingxi Xie
H. Qi
Qingming Huang
Q. Tian
NoLa
114
2,693
0
17 Apr 2019
Objects as Points
Objects as Points
Xingyi Zhou
Dequan Wang
Philipp Krahenbuhl
3DPC
107
3,255
0
16 Apr 2019
FPGA/DNN Co-Design: An Efficient Design Methodology for IoT Intelligence
  on the Edge
FPGA/DNN Co-Design: An Efficient Design Methodology for IoT Intelligence on the Edge
Cong Hao
Xiaofan Zhang
Yuhong Li
Sitao Huang
Jinjun Xiong
K. Rupnow
Wen-mei W. Hwu
Deming Chen
73
173
0
09 Apr 2019
SimpleDet: A Simple and Versatile Distributed Framework for Object
  Detection and Instance Recognition
SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition
Yuntao Chen
Chenxia Han
Yanghao Li
Zehao Huang
Yi Jiang
Naiyan Wang
Zhaoxiang Zhang
238
30
0
14 Mar 2019
Bottom-up Object Detection by Grouping Extreme and Center Points
Bottom-up Object Detection by Grouping Extreme and Center Points
Xingyi Zhou
Jiacheng Zhuo
Philipp Krahenbuhl
ObjD
113
865
0
23 Jan 2019
Scale-Aware Trident Networks for Object Detection
Scale-Aware Trident Networks for Object Detection
Yanghao Li
Yuntao Chen
Naiyan Wang
Zhaoxiang Zhang
ObjD
81
884
0
07 Jan 2019
Deformable ConvNets v2: More Deformable, Better Results
Deformable ConvNets v2: More Deformable, Better Results
Xizhou Zhu
Han Hu
Stephen Lin
Jifeng Dai
ObjD
95
2,011
0
27 Nov 2018
DAC-SDC Low Power Object Detection Challenge for UAV Applications
DAC-SDC Low Power Object Detection Challenge for UAV Applications
Xiaowei Xu
Xinyi Zhang
Bei Yu
X. S. Hu
C. Rowen
Jiaxi Hu
Yiyu Shi
42
77
0
01 Sep 2018
CornerNet: Detecting Objects as Paired Keypoints
CornerNet: Detecting Objects as Paired Keypoints
Hei Law
Jia Deng
ObjD
69
3,617
0
03 Aug 2018
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture
  Design
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
Ningning Ma
Xiangyu Zhang
Haitao Zheng
Jian Sun
174
4,987
0
30 Jul 2018
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep
  Neural Networks
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
Dongqing Zhang
Jiaolong Yang
Dongqiangzi Ye
G. Hua
MQ
62
703
0
26 Jul 2018
Quantizing deep convolutional networks for efficient inference: A
  whitepaper
Quantizing deep convolutional networks for efficient inference: A whitepaper
Raghuraman Krishnamoorthi
MQ
139
1,015
0
21 Jun 2018
Inference of Quantized Neural Networks on Heterogeneous All-Programmable
  Devices
Inference of Quantized Neural Networks on Heterogeneous All-Programmable Devices
Thomas B. Preußer
Giulio Gambardella
Nicholas J. Fraser
Michaela Blott
MQ
47
41
0
21 Jun 2018
Path Aggregation Network for Instance Segmentation
Path Aggregation Network for Instance Segmentation
Shu Liu
Lu Qi
Haifang Qin
Jianping Shi
Jiaya Jia
ISeg
SSeg
97
5,753
0
05 Mar 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
178
19,271
0
13 Jan 2018
Quantization and Training of Neural Networks for Efficient
  Integer-Arithmetic-Only Inference
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
Benoit Jacob
S. Kligys
Bo Chen
Menglong Zhu
Matthew Tang
Andrew G. Howard
Hartwig Adam
Dmitry Kalenichenko
MQ
150
3,123
0
15 Dec 2017
Deep Layer Aggregation
Deep Layer Aggregation
Feng Yu
Dequan Wang
Evan Shelhamer
Trevor Darrell
AI4CE
FAtt
144
1,328
0
20 Jul 2017
Deformable Convolutional Networks
Deformable Convolutional Networks
Jifeng Dai
Haozhi Qi
Yuwen Xiong
Yi Li
Guodong Zhang
Han Hu
Yichen Wei
196
5,330
0
17 Mar 2017
Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
390
1,051
0
10 Feb 2017
YOLO9000: Better, Faster, Stronger
YOLO9000: Better, Faster, Stronger
Joseph Redmon
Ali Farhadi
VLM
ObjD
181
15,616
0
25 Dec 2016
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
1.4K
14,559
0
07 Oct 2016
DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low
  Bitwidth Gradients
DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients
Shuchang Zhou
Yuxin Wu
Zekun Ni
Xinyu Zhou
He Wen
Yuheng Zou
MQ
119
2,086
0
20 Jun 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,878
0
10 Dec 2015
SSD: Single Shot MultiBox Detector
SSD: Single Shot MultiBox Detector
Wen Liu
Dragomir Anguelov
D. Erhan
Christian Szegedy
Scott E. Reed
Cheng-Yang Fu
Alexander C. Berg
ObjD
BDL
229
29,816
0
08 Dec 2015
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
691
36,935
0
08 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
499
62,270
0
04 Jun 2015
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
413
43,638
0
01 May 2014
Estimating or Propagating Gradients Through Stochastic Neurons for
  Conditional Computation
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
Yoshua Bengio
Nicholas Léonard
Aaron Courville
379
3,129
0
15 Aug 2013
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