Cost-Effective Active Learning for Relational Few-shot Learning
碩士 === 國立臺灣大學 === 資訊網路與多媒體研究所 === 106 === In recent years, deep learning is developed in tremendous speed nowsdays. Giving the credits to the increase in computing power, a large number of researchers have invested in research, making deep learning shine in many fields such as machine vision, natura...
Main Authors: | Chang-Sin Dai, 戴長昕 |
---|---|
Other Authors: | 廖世偉 |
Format: | Others |
Language: | zh-TW |
Published: |
2018
|
Online Access: | http://ndltd.ncl.edu.tw/handle/ka5cn7 |
Similar Items
-
Few-shot learning with relation propagation and constraint
by: Gong, H., et al.
Published: (2021) -
Augmenting Few-Shot Learning With Supervised Contrastive Learning
by: Taemin Lee, et al.
Published: (2021-01-01) -
Adaptive Learning Knowledge Networks for Few-Shot Learning
by: Minghao Yan
Published: (2019-01-01) -
Multimodal Few-Shot Learning for Gait Recognition
by: Jucheol Moon, et al.
Published: (2020-10-01) -
Feature Transformation Network for Few-Shot Learning
by: Xiaoyan Wang, et al.
Published: (2021-01-01)