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Supervised Momentum Contrastive Learning for Few-Shot Classification

Supervised Momentum Contrastive Learning for Few-Shot Classification

26 January 2021
Orchid Majumder
Avinash Ravichandran
Subhransu Maji
Alessandro Achille
M. Polito
Stefano Soatto
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Papers citing "Supervised Momentum Contrastive Learning for Few-Shot Classification"

6 / 6 papers shown
Title
Few and Fewer: Learning Better from Few Examples Using Fewer Base
  Classes
Few and Fewer: Learning Better from Few Examples Using Fewer Base Classes
Raphael Lafargue
Yassir Bendou
Bastien Pasdeloup
J. Diguet
Ian Reid
Vincent Gripon
Jack Valmadre
39
0
0
29 Jan 2024
Learning Dense Object Descriptors from Multiple Views for Low-shot
  Category Generalization
Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization
Stefan Stojanov
Anh Thai
Zixuan Huang
James M. Rehg
31
1
0
28 Nov 2022
CrossTransformers: spatially-aware few-shot transfer
CrossTransformers: spatially-aware few-shot transfer
Carl Doersch
Ankush Gupta
Andrew Zisserman
ViT
215
330
0
22 Jul 2020
Selecting Relevant Features from a Multi-domain Representation for
  Few-shot Classification
Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification
Nikita Dvornik
Cordelia Schmid
Julien Mairal
VLM
178
24
0
20 Mar 2020
Transferability and Hardness of Supervised Classification Tasks
Transferability and Hardness of Supervised Classification Tasks
Anh Tran
Cuong V Nguyen
Tal Hassner
134
164
0
21 Aug 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
338
11,684
0
09 Mar 2017
1