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Revisiting Pretraining for Semi-Supervised Learning in the Low-Label
  Regime

Revisiting Pretraining for Semi-Supervised Learning in the Low-Label Regime

6 May 2022
Xun Xu
Jingyi Liao
Lile Cai
M. Nguyen
Kangkang Lu
Wanyue Zhang
Yasin Yazici
Chuan-Sheng Foo
ArXivPDFHTML

Papers citing "Revisiting Pretraining for Semi-Supervised Learning in the Low-Label Regime"

4 / 4 papers shown
Title
COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection
COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection
Jingyi Liao
Xun Xu
Manh Cuong Nguyen
A. Goodge
Chuan-Sheng Foo
28
9
0
29 Feb 2024
Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive
  Learning from a Class-wise Memory Bank
Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank
Inigo Alonso
Alberto Sabater
David Ferstl
Luis Montesano
Ana C. Murillo
SSL
CLL
119
203
0
27 Apr 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
252
3,369
0
09 Mar 2020
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
287
39,194
0
01 Sep 2014
1