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Visual Transformer for Task-aware Active Learning

Visual Transformer for Task-aware Active Learning

7 June 2021
Razvan Caramalau
Binod Bhattarai
Tae-Kyun Kim
    ViT
ArXivPDFHTML

Papers citing "Visual Transformer for Task-aware Active Learning"

9 / 9 papers shown
Title
Balancing Accuracy, Calibration, and Efficiency in Active Learning with Vision Transformers Under Label Noise
Balancing Accuracy, Calibration, and Efficiency in Active Learning with Vision Transformers Under Label Noise
Moseli Motsóehli
Hope Mogale
Kyungim Baek
38
0
0
07 May 2025
Image Classification with Deep Reinforcement Active Learning
Image Classification with Deep Reinforcement Active Learning
Mingyuan Jiu
Xuguang Song
H. Sahbi
Shupan Li
Yan Chen
Wei Guo
Lihua Guo
Mingliang Xu
VLM
26
0
0
31 Dec 2024
GCI-ViTAL: Gradual Confidence Improvement with Vision Transformers for
  Active Learning on Label Noise
GCI-ViTAL: Gradual Confidence Improvement with Vision Transformers for Active Learning on Label Noise
Moseli Motsóehli
Kyungim Baek
34
1
0
08 Nov 2024
Learning Objective-Specific Active Learning Strategies with Attentive
  Neural Processes
Learning Objective-Specific Active Learning Strategies with Attentive Neural Processes
Tim Bakker
H. V. Hoof
Max Welling
35
2
0
11 Sep 2023
You Never Get a Second Chance To Make a Good First Impression: Seeding
  Active Learning for 3D Semantic Segmentation
You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic Segmentation
Nermin Samet
Oriane Siméoni
Gilles Puy
Georgy Ponimatkin
Renaud Marlet
Vincent Lepetit
3DPC
28
4
0
23 Apr 2023
Multi-Domain Active Learning: Literature Review and Comparative Study
Multi-Domain Active Learning: Literature Review and Comparative Study
Ruidan He
Shengcai Liu
Shan He
Ke Tang
OOD
19
14
0
25 Jun 2021
Simple Copy-Paste is a Strong Data Augmentation Method for Instance
  Segmentation
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Golnaz Ghiasi
Huayu Chen
A. Srinivas
Rui Qian
Nayeon Lee
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
252
968
0
13 Dec 2020
Consistency-based Semi-supervised Active Learning: Towards Minimizing
  Labeling Cost
Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost
M. Gao
Zizhao Zhang
Guo-Ding Yu
Sercan Ö. Arik
L. Davis
Tomas Pfister
165
196
0
16 Oct 2019
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