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Class Adaptive Network Calibration

Class Adaptive Network Calibration

28 November 2022
Bingyuan Liu
Jérôme Rony
Adrian Galdran
Jose Dolz
Ismail Ben Ayed
ArXivPDFHTML

Papers citing "Class Adaptive Network Calibration"

5 / 5 papers shown
Title
Do not trust what you trust: Miscalibration in Semi-supervised Learning
Do not trust what you trust: Miscalibration in Semi-supervised Learning
Shambhavi Mishra
Balamurali Murugesan
Ismail Ben Ayed
M. Pedersoli
Jose Dolz
48
2
0
22 Mar 2024
Class and Region-Adaptive Constraints for Network Calibration
Class and Region-Adaptive Constraints for Network Calibration
Balamurali Murugesan
Julio Silva-Rodríguez
Ismail Ben Ayed
Jose Dolz
36
1
0
19 Mar 2024
A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models
A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models
Julio Silva-Rodríguez
Sina Hajimiri
Ismail Ben Ayed
Jose Dolz
VLM
26
27
0
20 Dec 2023
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
308
7,443
0
11 Nov 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
1