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Comparison of Embedded Spaces for Deep Learning Classification

Comparison of Embedded Spaces for Deep Learning Classification

3 August 2024
Stefan Scholl
ArXiv (abs)PDFHTML

Papers citing "Comparison of Embedded Spaces for Deep Learning Classification"

5 / 5 papers shown
Title
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning
Archit Parnami
Minwoo Lee
MQ
110
165
0
07 Mar 2022
A Survey on Open Set Recognition
A Survey on Open Set Recognition
Atefeh Mahdavi
Marco M. Carvalho
BDL
69
35
0
18 Aug 2021
CosFace: Large Margin Cosine Loss for Deep Face Recognition
CosFace: Large Margin Cosine Loss for Deep Face Recognition
Haobo Wang
Yitong Wang
Zheng Zhou
Xing Ji
Dihong Gong
Jin Zhou
Zhifeng Li
Wei Liu
CVBMMQ
133
2,507
0
29 Jan 2018
SphereFace: Deep Hypersphere Embedding for Face Recognition
SphereFace: Deep Hypersphere Embedding for Face Recognition
Weiyang Liu
Yandong Wen
Zhiding Yu
Ming Li
Bhiksha Raj
Le Song
CVBM
234
2,801
0
26 Apr 2017
FaceNet: A Unified Embedding for Face Recognition and Clustering
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff
Dmitry Kalenichenko
James Philbin
3DH
379
13,145
0
12 Mar 2015
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