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Evaluating the Energy Efficiency of Few-Shot Learning for Object Detection in Industrial Settings
11 March 2024
Georgios Tsoumplekas
Vladislav Li
Ilias Siniosoglou
Vasileios Argyriou
Sotirios K Goudos
Ioannis D. Moscholios
Panagiotis I. Radoglou-Grammatikis
Panagiotis G. Sarigiannidis
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Papers citing
"Evaluating the Energy Efficiency of Few-Shot Learning for Object Detection in Industrial Settings"
7 / 7 papers shown
Title
Can Federated Learning Save The Planet?
Xinchi Qiu
Titouan Parcollet
Daniel J. Beutel
Taner Topal
Akhil Mathur
Nicholas D. Lane
50
81
0
13 Oct 2020
YOLOv4: Optimal Speed and Accuracy of Object Detection
Alexey Bochkovskiy
Chien-Yao Wang
H. Liao
VLM
ObjD
141
12,265
0
23 Apr 2020
Frustratingly Simple Few-Shot Object Detection
Xin Wang
Thomas E. Huang
Trevor Darrell
Joseph E. Gonzalez
Feng Yu
ObjD
205
554
0
16 Mar 2020
Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning
Peter Henderson
Jie Hu
Joshua Romoff
Emma Brunskill
Dan Jurafsky
Joelle Pineau
81
451
0
31 Jan 2020
Green AI
Roy Schwartz
Jesse Dodge
Noah A. Smith
Oren Etzioni
102
1,141
0
22 Jul 2019
Few-shot Object Detection via Feature Reweighting
Bingyi Kang
Zhuang Liu
Xin Wang
Feng Yu
Jiashi Feng
Trevor Darrell
ObjD
OffRL
87
697
0
05 Dec 2018
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
451
22,095
0
09 Dec 2016
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