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Dec 4, 2020 · The hierarchical semantic aggregation strategy produces more discriminative representation on several unsupervised benchmarks. Notably, on ...
Sep 8, 2024 · The hierarchical semantic aggregation strategy produces more discriminative representation on several unsupervised benchmarks. Notably, on ...
This paper tackles the representation inefficiency of contrastive learning and proposes a hierarchical training strategy to explicitly model the invariance ...
In this paper, we propose a hierarchical semantic alignment strategy via expanding the views generated by a single image to \textbf{Cross-samples and Multi- ...
In this paper, we tackle therepresentation inefficiency of contrastive learning and propose a hierarchicaltraining strategy to explicitly model the invariance ...
Nov 19, 2024 · To address these problems, this article extends the single-scale feature space to that of multiscale and proposes a hierarchical contrastive ...
Hierarchical Semantic Aggregation for Contrastive Representation Learning. H. Xu, X. Zhang, H. Li, L. Xie, H. Xiong, and Q. Tian. CoRR, (2020 ). Links and ...
We propose a Hierarchical and CONtrastive representation learning framework for knowledge-aware recommendation named HiCON.
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... Hierarchical Semantic Alignment for Contrastive Representation Learning ... Hierarchical Semantic Aggregation for Contrastive Representation Learning.
Hierarchical Semantic Alignment for Contrastive Representation Learning
pubmed.ncbi.nlm.nih.gov › ...
In this paper, we propose a general module that considers the semantic similarity among images. This is achieved by expanding the views generated by a single ...
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