5 citations · 13 across the 34 of their papers we have counts for
8 papers · 1 filter
Hacking Task Confounder in Meta-Learning
Jingyao Wang, Yi Ren, Zeen Song +3
Meta-learning enables rapid generalization to new tasks by learning knowledge from various tasks. It is intuitively assumed that as the training progresses, a model will acquire ri…
Unleash Model Potential: Bootstrapped Meta Self-supervised Learning
Jingyao Wang, Zeen Song, Wenwen Qiang +1
The long-term goal of machine learning is to learn general visual representations from a small amount of data without supervision, mimicking three advantages of human cognition: i)…
Towards the Sparseness of Projection Head in Self-Supervised Learning
Zeen Song, Xingzhe Su, Jingyao Wang +3
In recent years, self-supervised learning (SSL) has emerged as a promising approach for extracting valuable representations from unlabeled data. One successful SSL method is contra…
CSSL-RHA: Contrastive Self-Supervised Learning for Robust Handwriting Authentication
Jingyao Wang, Luntian Mou, Changwen Zheng +1
Handwriting authentication is a valuable tool used in various fields, such as fraud prevention and cultural heritage protection. However, it remains a challenging task due to the c…
Towards Task Sampler Learning for Meta-Learning
Jingyao Wang, Wenwen Qiang, Xingzhe Su +3
Meta-learning aims to learn general knowledge with diverse training tasks conducted from limited data, and then transfer it to new tasks. It is commonly believed that increasing ta…
Text-based Person Search without Parallel Image-Text Data
Yang Bai, Jingyao Wang, Min Cao +4
Text-based person search (TBPS) aims to retrieve the images of the target person from a large image gallery based on a given natural language description. Existing methods are domi…
AwesomeMeta+: A Mixed-Prototyping Meta-Learning System Supporting AI Application Design Anywhere
Jingyao Wang, Yuxuan Yang, Wenwen Qiang +2
Meta-learning, also known as ``learning to learn'', enables models to acquire great generalization abilities by learning from various tasks. Recent advancements have made these mod…
Efficient Image-Text Retrieval via Keyword-Guided Pre-Screening
Min Cao, Yang Bai, Jingyao Wang +3
Under the flourishing development in performance, current image-text retrieval methods suffer from -related time complexity, which hinders their application in practice. Targeti…