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AdaScale: Towards Real-time Video Object Detection Using Adaptive
  Scaling

AdaScale: Towards Real-time Video Object Detection Using Adaptive Scaling

8 February 2019
Ting-Wu Chin
Ruizhou Ding
Diana Marculescu
ArXiv (abs)PDFHTML

Papers citing "AdaScale: Towards Real-time Video Object Detection Using Adaptive Scaling"

35 / 35 papers shown
Title
A Survey on Efficiency Optimization Techniques for DNN-based Video Analytics: Process Systems, Algorithms, and Applications
A Survey on Efficiency Optimization Techniques for DNN-based Video Analytics: Process Systems, Algorithms, and Applications
Shanjiang Tang
Rui Huang
Hsinyu Luo
C. Wang
Ce Yu
Yusen Li
Hao Fu
Chao Sun
and Jian Xiao
30
0
0
21 Jul 2025
Panopticus: Omnidirectional 3D Object Detection on Resource-constrained
  Edge Devices
Panopticus: Omnidirectional 3D Object Detection on Resource-constrained Edge Devices
Jeho Lee
Chanyoung Jung
Jiwon Kim
Hojung Cha
3DPC
80
3
0
02 Oct 2024
ROADWork Dataset: Learning to Recognize, Observe, Analyze and Drive Through Work Zones
ROADWork Dataset: Learning to Recognize, Observe, Analyze and Drive Through Work Zones
Anurag Ghosh
Shen Zheng
Shen Zheng
Juan R. Alvarez-Padilla
Hailiang Zhu
Hailiang Zhu
Michael Cardei
Nicholas Dunn
Christoph Mertz
Srinivasa Narasimhan
149
6
0
11 Jun 2024
Mondrian: On-Device High-Performance Video Analytics with Compressive
  Packed Inference
Mondrian: On-Device High-Performance Video Analytics with Compressive Packed Inference
Changmin Jeon
Seonjun Kim
Juheon Yi
Youngki Lee
128
1
0
12 Mar 2024
OneAdapt: Fast Adaptation for Deep Learning Applications via
  Backpropagation
OneAdapt: Fast Adaptation for Deep Learning Applications via Backpropagation
Kuntai Du
Yuhan Liu
Yitian Hao
Qizheng Zhang
Haodong Wang
Yuyang Huang
Ganesh Ananthanarayanan
Junchen Jiang
107
1
0
03 Oct 2023
Eventful Transformers: Leveraging Temporal Redundancy in Vision
  Transformers
Eventful Transformers: Leveraging Temporal Redundancy in Vision Transformers
Matthew Dutson
Yin Li
M. Gupta
ViT
105
14
0
25 Aug 2023
Learn to Compress (LtC): Efficient Learning-based Streaming Video
  Analytics
Learn to Compress (LtC): Efficient Learning-based Streaming Video Analytics
Quazi Mishkatul Alam
I. Haque
Nael B. Abu-Ghazaleh
64
2
0
22 Jul 2023
DAMO-StreamNet: Optimizing Streaming Perception in Autonomous Driving
DAMO-StreamNet: Optimizing Streaming Perception in Autonomous Driving
Ju He
Zhi-Qi Cheng
Chenyang Li
Wangmeng Xiang
Binghui Chen
Bin Luo
Yifeng Geng
Xuansong Xie
AI4CE
133
23
0
30 Mar 2023
Learned Two-Plane Perspective Prior based Image Resampling for Efficient
  Object Detection
Learned Two-Plane Perspective Prior based Image Resampling for Efficient Object Detection
Anurag Ghosh
Dinesh Reddy Narapureddy
Christoph Mertz
S. Narasimhan
126
5
0
25 Mar 2023
Data-Efficient Training of CNNs and Transformers with Coresets: A
  Stability Perspective
Data-Efficient Training of CNNs and Transformers with Coresets: A Stability Perspective
Animesh Gupta
Irtiza Hassan
Dilip K. Prasad
D. K. Gupta
122
7
0
03 Mar 2023
Towards 3D Object Detection with 2D Supervision
Towards 3D Object Detection with 2D Supervision
Jinrong Yang
Tiancai Wang
Zheng Ge
Weixin Mao
Xiaoping Li
Xiangyu Zhang
83
4
0
15 Nov 2022
LongShortNet: Exploring Temporal and Semantic Features Fusion in
  Streaming Perception
LongShortNet: Exploring Temporal and Semantic Features Fusion in Streaming Perception
Chenyang Li
Zhi-Qi Cheng
Jun-Yan He
Pengyu Li
Bin Luo
Hanzao Chen
Yifeng Geng
Jinpeng Lan
Xuansong Xie
93
14
0
27 Oct 2022
AttTrack: Online Deep Attention Transfer for Multi-object Tracking
AttTrack: Online Deep Attention Transfer for Multi-object Tracking
Keivan Nalaie
Rong Zheng
VOT
138
5
0
16 Oct 2022
Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation
  in Machine Learning
Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning
Pengfei Zheng
Rui Pan
Tarannum Khan
Shivaram Venkataraman
Aditya Akella
109
24
0
30 Sep 2022
Survey: Exploiting Data Redundancy for Optimization of Deep Learning
Survey: Exploiting Data Redundancy for Optimization of Deep Learning
Jou-An Chen
Wei Niu
Bin Ren
Yanzhi Wang
Xipeng Shen
88
26
0
29 Aug 2022
StreamYOLO: Real-time Object Detection for Streaming Perception
StreamYOLO: Real-time Object Detection for Streaming Perception
Jinrong Yang
Songtao Liu
Zeming Li
Xiaoping Li
Jian‐Yuan Sun
133
6
0
21 Jul 2022
Real-time Object Detection for Streaming Perception
Real-time Object Detection for Streaming Perception
Jinrong Yang
Songtao Liu
Zeming Li
Xiaoping Li
Jian Sun
159
53
0
23 Mar 2022
TransVOD: End-to-End Video Object Detection with Spatial-Temporal
  Transformers
TransVOD: End-to-End Video Object Detection with Spatial-Temporal Transformers
Qianyu Zhou
Hefei Ling
Lu He
Li Niu
Guangliang Cheng
Yunhai Tong
Lizhuang Ma
Liqing Zhang
ViT
143
155
0
13 Jan 2022
Virtuoso: Video-based Intelligence for real-time tuning on SOCs
Virtuoso: Video-based Intelligence for real-time tuning on SOCs
Jayoung Lee
Pengcheng Wang
Ran Xu
Venkateswara Dasari
Noah Weston
Yin Li
S. Bagchi
Somali Chaterji
70
2
0
24 Dec 2021
Do You See What I See? Capabilities and Limits of Automated Multimedia
  Content Analysis
Do You See What I See? Capabilities and Limits of Automated Multimedia Content Analysis
Carey Shenkman
Dhanaraj Thakur
Emma Llansó
58
8
0
15 Dec 2021
Event Neural Networks
Event Neural Networks
Matthew Dutson
Yin Li
M. Gupta
143
9
0
02 Dec 2021
DeepScale: Online Frame Size Adaptation for Multi-object Tracking on
  Smart Cameras and Edge Servers
DeepScale: Online Frame Size Adaptation for Multi-object Tracking on Smart Cameras and Edge Servers
Keivan Nalaie
Renjie Xu
Rong Zheng
VOT
76
9
0
22 Jul 2021
DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference
DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference
Chaojian Li
Wuyang Chen
Yuchen Gu
Tianlong Chen
Yonggan Fu
Zhangyang Wang
Yingyan Lin
161
0
0
16 Jul 2021
Chanakya: Learning Runtime Decisions for Adaptive Real-Time Perception
Chanakya: Learning Runtime Decisions for Adaptive Real-Time Perception
Anurag Ghosh
Vaibhav Balloli
A. Nambi
Aditya Singh
T. Ganu
153
7
0
10 Jun 2021
Enabling Design Methodologies and Future Trends for Edge AI:
  Specialization and Co-design
Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Co-design
Cong Hao
Jordan Dotzel
Jinjun Xiong
Luca Benini
Zhiru Zhang
Deming Chen
137
39
0
25 Mar 2021
ApproxDet: Content and Contention-Aware Approximate Object Detection for
  Mobiles
ApproxDet: Content and Contention-Aware Approximate Object Detection for Mobiles
Ran Xu
Chen-Da Liu-Zhang
Pengcheng Wang
Jayoung Lee
Subrata Mitra
Somali Chaterji
Yin Li
S. Bagchi
86
62
0
21 Oct 2020
Enabling Incremental Knowledge Transfer for Object Detection at the Edge
Enabling Incremental Knowledge Transfer for Object Detection at the Edge
Mohammad Farhadi Bajestani
Mehdi Ghasemi
S. Vrudhula
Yezhou Yang
61
14
0
13 Apr 2020
HMM-guided frame querying for bandwidth-constrained video search
HMM-guided frame querying for bandwidth-constrained video search
Bhairav Chidambaram
Mason McGill
Pietro Perona
78
0
0
31 Dec 2019
Progressive Compressed Records: Taking a Byte out of Deep Learning Data
Progressive Compressed Records: Taking a Byte out of Deep Learning Data
Michael Kuchnik
George Amvrosiadis
Virginia Smith
190
10
0
01 Nov 2019
E2-Train: Training State-of-the-art CNNs with Over 80% Energy Savings
E2-Train: Training State-of-the-art CNNs with Over 80% Energy Savings
Yue Wang
Ziyu Jiang
Xiaohan Chen
Pengfei Xu
Yang Zhao
Yingyan Lin
Zhangyang Wang
MQ
219
84
0
29 Oct 2019
MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and
  Resolution
MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution
Taojiannan Yang
Sijie Zhu
Chong Chen
Shen Yan
Mi Zhang
Andrew Willis
OOD
144
75
0
27 Sep 2019
To What Extent Does Downsampling, Compression, and Data Scarcity Impact
  Renal Image Analysis?
To What Extent Does Downsampling, Compression, and Data Scarcity Impact Renal Image Analysis?
Can Peng
Kun-li Zhao
Arnold Wiliem
Teng Zhang
Peter Hobson
A. Jennings
Brian C. Lovell
41
7
0
22 Sep 2019
It's All About The Scale -- Efficient Text Detection Using Adaptive
  Scaling
It's All About The Scale -- Efficient Text Detection Using Adaptive Scaling
Elad Richardson
Yaniv Azar
Or Avioz
Niv Geron
Tomer Ronen
Zach Avraham
Stav Shapiro
61
9
0
28 Jul 2019
Towards Efficient Model Compression via Learned Global Ranking
Towards Efficient Model Compression via Learned Global Ranking
Ting-Wu Chin
Ruizhou Ding
Cha Zhang
Diana Marculescu
95
178
0
28 Apr 2019
Regularizing Activation Distribution for Training Binarized Deep
  Networks
Regularizing Activation Distribution for Training Binarized Deep Networks
Ruizhou Ding
Ting-Wu Chin
Z. Liu
Diana Marculescu
MQ
114
150
0
04 Apr 2019
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