Wenzhao Zheng
3 أوراق في مجموعة PaperMetrix
أوراق هذا المؤلف
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Deep Metric Learning via Adaptive Learnable Assessment
2020
In this paper, we propose a deep metric learning via adaptive learnable assessment (DML-ALA) method for image retrieval and clustering, which aims to learn a sample assessment strategy to maximize the generalization of the trained …
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OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions
2022 · arXiv (Cornell University)
The pretrain-finetune paradigm in modern computer vision facilitates the success of self-supervised learning, which tends to achieve better transferability than supervised learning. However, with the availability of massive labeled data, a natural question emerges: how …
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OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions
2023
The pretrain-finetune paradigm in modern computer vision facilitates the success of self-supervised learning, which tends to achieve better transferability than supervised learning. However, with the availability of massive labeled data, a natural question emerges: how …