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10/24/2022
Learning by Hallucinating: Vision-Language Pre-training with Weak Supervision
Weakly-supervised vision-language (V-L) pre-training (W-VLP) aims at lea...
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05/11/2020
Learning to hash with semantic similarity metrics and empirical KL divergence
Learning to hash is an efficient paradigm for exact and approximate near...
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08/12/2019
SHREWD: Semantic Hierarchy-based Relational Embeddings for Weakly-supervised Deep Hashing
Using class labels to represent class similarity is a typical approach t...
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09/06/2017
