Few-Shot Image Classification Method Based on Self-Supervised Task Pre-training

Liang You; Youping Lin

doi:10.1145/3722237.3722238

ScienceGate Book Chapters

JOURNAL ARTICLE

Few-Shot Image Classification Method Based on Self-Supervised Task Pre-training

Liang You Youping Lin

Year: 2024 Pages: 1-6

DOI: 10.1145/3722237.3722238

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Shot (pellet) Training (meteorology) Task (project management) Artificial intelligence Contextual image classification Pattern recognition (psychology) Training set Image (mathematics) One shot Machine learning Computer vision Engineering

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.45

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Image Processing Techniques and Applications

Physical Sciences → Engineering → Media Technology

Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Few-Shot Image Classification Method Based on Self-Supervised Task Pre-training

Metrics

Topics

Related Documents

Few-shot image classification with composite rotation based self-supervised auxiliary task

Self-Supervised Learning for Few-Shot Image Classification

Self-supervised Multi-task Distillation for Few-shot Classification

Few-Shot Classification with Multi-task Self-supervised Learning

Self-supervised learning based few-shot remote sensing scene image classification