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Online Model Distillation for Efficient Video Inference

Online Model Distillation for Efficient Video Inference

6 December 2018
Ravi Teja Mullapudi
Steven Chen
Keyi Zhang
Deva Ramanan
Kayvon Fatahalian
    VGen
ArXivPDFHTML

Papers citing "Online Model Distillation for Efficient Video Inference"

36 / 36 papers shown
Title
Legilimens: Performant Video Analytics on the System-on-Chip Edge
Legilimens: Performant Video Analytics on the System-on-Chip Edge
M. Ramanujam
Yinwei Dai
Kyle Jamieson
Ravi Netravali
83
0
0
29 Apr 2025
ReSpec: Relevance and Specificity Grounded Online Filtering for Learning on Video-Text Data Streams
ReSpec: Relevance and Specificity Grounded Online Filtering for Learning on Video-Text Data Streams
C. Kim
Jihwan Moon
Sangwoo Moon
Heeseung Yun
Sihaeng Lee
Aniruddha Kembhavi
Soonyoung Lee
Gunhee Kim
Sangho Lee
Christopher Clark
34
0
0
21 Apr 2025
Event Stream-based Visual Object Tracking: HDETrack V2 and A High-Definition Benchmark
Event Stream-based Visual Object Tracking: HDETrack V2 and A High-Definition Benchmark
Shiao Wang
Xinyu Wang
Chao wang
Liye Jin
Lin Zhu
Bo Jiang
Yonghong Tian
Jin Tang
58
0
0
08 Feb 2025
Learning to (Learn at Test Time): RNNs with Expressive Hidden States
Learning to (Learn at Test Time): RNNs with Expressive Hidden States
Yu Sun
Xinhao Li
Karan Dalal
Jiarui Xu
Arjun Vikram
...
Xinlei Chen
Xiaolong Wang
Sanmi Koyejo
Tatsunori Hashimoto
Carlos Guestrin
71
93
0
05 Jul 2024
Federated Graph Semantic and Structural Learning
Federated Graph Semantic and Structural Learning
Wenke Huang
Guancheng Wan
Mang Ye
Bo Du
FedML
36
44
0
27 Jun 2024
EdgeSync: Faster Edge-model Updating via Adaptive Continuous Learning
  for Video Data Drift
EdgeSync: Faster Edge-model Updating via Adaptive Continuous Learning for Video Data Drift
Peng Zhao
Runchu Dong
Guiqin Wang
Cong Zhao
45
1
0
05 Jun 2024
Multi-Stream Cellular Test-Time Adaptation of Real-Time Models Evolving
  in Dynamic Environments
Multi-Stream Cellular Test-Time Adaptation of Real-Time Models Evolving in Dynamic Environments
Benoît Gérin
Anaïs Halin
A. Cioppa
Maxim Henry
Guohao Li
Benoît Macq
Christophe De Vleeschouwer
Marc Van Droogenbroeck
TTA
56
0
0
27 Apr 2024
Test-Time Training on Video Streams
Test-Time Training on Video Streams
Renhao Wang
Yu Sun
Yossi Gandelsman
Xinlei Chen
Alexei A. Efros
Alexei A. Efros
Xiaolong Wang
TTA
ViT
3DGS
47
16
0
11 Jul 2023
Gradient Knowledge Distillation for Pre-trained Language Models
Gradient Knowledge Distillation for Pre-trained Language Models
Lean Wang
Lei Li
Xu Sun
VLM
28
5
0
02 Nov 2022
Respecting Transfer Gap in Knowledge Distillation
Respecting Transfer Gap in Knowledge Distillation
Yulei Niu
Long Chen
Chan Zhou
Hanwang Zhang
26
23
0
23 Oct 2022
MLink: Linking Black-Box Models from Multiple Domains for Collaborative
  Inference
MLink: Linking Black-Box Models from Multiple Domains for Collaborative Inference
Mu Yuan
Lan Zhang
Zimu Zheng
Yi-Nan Zhang
Xiang-Yang Li
30
2
0
28 Sep 2022
InFi: End-to-End Learning to Filter Input for Resource-Efficiency in
  Mobile-Centric Inference
InFi: End-to-End Learning to Filter Input for Resource-Efficiency in Mobile-Centric Inference
Mu Yuan
Lan Zhang
Fengxiang He
Xueting Tong
Miao-Hui Song
Zhengyuan Xu
Xiang-Yang Li
32
2
0
28 Sep 2022
Test-Time Training with Masked Autoencoders
Test-Time Training with Masked Autoencoders
Yossi Gandelsman
Yu Sun
Xinlei Chen
Alexei A. Efros
OOD
45
165
0
15 Sep 2022
Enabling Harmonious Human-Machine Interaction with Visual-Context
  Augmented Dialogue System: A Review
Enabling Harmonious Human-Machine Interaction with Visual-Context Augmented Dialogue System: A Review
Hao Wang
Bin Guo
Y. Zeng
Yasan Ding
Chen Qiu
Ying Zhang
Li Yao
Zhiwen Yu
39
2
0
02 Jul 2022
When to Prune? A Policy towards Early Structural Pruning
When to Prune? A Policy towards Early Structural Pruning
Maying Shen
Pavlo Molchanov
Hongxu Yin
J. Álvarez
VLM
28
53
0
22 Oct 2021
HALP: Hardware-Aware Latency Pruning
HALP: Hardware-Aware Latency Pruning
Maying Shen
Hongxu Yin
Pavlo Molchanov
Lei Mao
Jianna Liu
J. Álvarez
VLM
46
13
0
20 Oct 2021
Partial to Whole Knowledge Distillation: Progressive Distilling
  Decomposed Knowledge Boosts Student Better
Partial to Whole Knowledge Distillation: Progressive Distilling Decomposed Knowledge Boosts Student Better
Xuanyang Zhang
Xinming Zhang
Jian Sun
25
1
0
26 Sep 2021
Video Pose Distillation for Few-Shot, Fine-Grained Sports Action
  Recognition
Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition
James Hong
Matthew Fisher
Michael Gharbi
Kayvon Fatahalian
3DH
27
37
0
03 Sep 2021
Efficient Person Search: An Anchor-Free Approach
Efficient Person Search: An Anchor-Free Approach
Yichao Yan
Jinpeng Li
Jie Qin
Tianran Ouyang
Xiaokang Yang
29
18
0
01 Sep 2021
BlockCopy: High-Resolution Video Processing with Block-Sparse Feature
  Propagation and Online Policies
BlockCopy: High-Resolution Video Processing with Block-Sparse Feature Propagation and Online Policies
Thomas Verelst
Tinne Tuytelaars
OffRL
12
15
0
20 Aug 2021
LIGA-Stereo: Learning LiDAR Geometry Aware Representations for
  Stereo-based 3D Detector
LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector
Xiaoyang Guo
Shaoshuai Shi
Xiaogang Wang
Hongsheng Li
3DPC
34
106
0
18 Aug 2021
Online Adaptation to Label Distribution Shift
Online Adaptation to Label Distribution Shift
Ruihan Wu
Chuan Guo
Yi-Hsun Su
Kilian Q. Weinberger
21
47
0
09 Jul 2021
Arithmetic-Intensity-Guided Fault Tolerance for Neural Network Inference
  on GPUs
Arithmetic-Intensity-Guided Fault Tolerance for Neural Network Inference on GPUs
J. Kosaian
K. V. Rashmi
38
33
0
19 Apr 2021
Ego-Exo: Transferring Visual Representations from Third-person to
  First-person Videos
Ego-Exo: Transferring Visual Representations from Third-person to First-person Videos
Yanghao Li
Tushar Nagarajan
Bo Xiong
Kristen Grauman
EgoV
51
84
0
16 Apr 2021
A-SDF: Learning Disentangled Signed Distance Functions for Articulated
  Shape Representation
A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation
Jiteng Mu
Weichao Qiu
Adam Kortylewski
Alan Yuille
Nuno Vasconcelos
Xiaolong Wang
27
106
0
15 Apr 2021
It's always personal: Using Early Exits for Efficient On-Device CNN
  Personalisation
It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation
Ilias Leontiadis
Stefanos Laskaridis
Stylianos I. Venieris
Nicholas D. Lane
65
29
0
02 Feb 2021
ODIN: Automated Drift Detection and Recovery in Video Analytics
ODIN: Automated Drift Detection and Recovery in Video Analytics
Abhijit Suprem
Joy Arulraj
C. Pu
J. E. Ferreira
23
12
0
09 Sep 2020
Self-Supervised Policy Adaptation during Deployment
Self-Supervised Policy Adaptation during Deployment
Nicklas Hansen
Rishabh Jangir
Yu Sun
Guillem Alenyà
Pieter Abbeel
Alexei A. Efros
Lerrel Pinto
Xiaolong Wang
41
159
0
08 Jul 2020
Real-Time Video Inference on Edge Devices via Adaptive Model Streaming
Real-Time Video Inference on Edge Devices via Adaptive Model Streaming
Mehrdad Khani Shirkoohi
Pouya Hamadanian
Arash Nasr-Esfahany
Mohammad Alizadeh
28
44
0
11 Jun 2020
Knowledge Distillation: A Survey
Knowledge Distillation: A Survey
Jianping Gou
B. Yu
Stephen J. Maybank
Dacheng Tao
VLM
23
2,857
0
09 Jun 2020
Towards Streaming Perception
Towards Streaming Perception
Mengtian Li
Yu-xiong Wang
Deva Ramanan
22
5
0
21 May 2020
Interactive Video Stylization Using Few-Shot Patch-Based Training
Interactive Video Stylization Using Few-Shot Patch-Based Training
Ondrej Texler
David Futschik
Michal Kučera
Ondrej Jamriska
Sárka Sochorová
Menglei Chai
Sergey Tulyakov
Daniel Sýkora
VGen
14
80
0
29 Apr 2020
Neural Networks Are More Productive Teachers Than Human Raters: Active
  Mixup for Data-Efficient Knowledge Distillation from a Blackbox Model
Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation from a Blackbox Model
Dongdong Wang
Yandong Li
Liqiang Wang
Boqing Gong
26
48
0
31 Mar 2020
Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods
Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods
Daniel Y. Fu
Mayee F. Chen
Frederic Sala
Sarah Hooper
Kayvon Fatahalian
Christopher Ré
OffRL
34
111
0
27 Feb 2020
Test-Time Training with Self-Supervision for Generalization under
  Distribution Shifts
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
Yu Sun
Xiaolong Wang
Zhuang Liu
John Miller
Alexei A. Efros
Moritz Hardt
TTA
OOD
27
92
0
29 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
487
11,715
0
09 Mar 2017
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