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09/21/2023
TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance
In this paper, we propose a novel cross-modal distillation method, calle...
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10/21/2022
Dissecting Deep Metric Learning Losses for Image-Text Retrieval
Visual-Semantic Embedding (VSE) is a prevalent approach in image-text re...
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01/27/2022
Dissecting the impact of different loss functions with gradient surgery
Pair-wise loss is an approach to metric learning that learns a semantic ...
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07/24/2020
Hard negative examples are hard, but useful
Triplet loss is an extremely common approach to distance metric learning...
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09/16/2019
Visualizing How Embeddings Generalize
Deep metric learning is often used to learn an embedding function that c...
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04/08/2019
Improved Embeddings with Easy Positive Triplet Mining
Deep metric learning seeks to define an embedding where semantically sim...
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01/26/2019
Hotels-50K: A Global Hotel Recognition Dataset
Recognizing a hotel from an image of a hotel room is important for human...
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08/13/2018
