Aug 20, 2024 · This model is trained to maximize the similarity between the image ... We also show that Clarify can be used to discover novel misconceptions in large-scale ...
1 day ago · Our method uses a large vision-language model in two ways: first, we use it to generate multiple descriptions of each image, at different lengths; then we use ...
Aug 17, 2024 · We identify similar samples based on their cosine similarities and incorporate a similarity contrastive loss while training the feature extractor.
Aug 24, 2024 · Existing machine learning models demonstrate excellent performance in image object recognition after training on a large-scale dataset under full supervision.
Aug 27, 2024 · We developed DISCOVER, a general-purpose interpretability method designed to discover the underlying visual properties driving a classification task, and ...
Aug 28, 2024 · Multimodal embedding is the process of generating a numerical representation of an image that captures its features and characteristics in a vector format.
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Aug 17, 2024 · In this paper, we propose Central Similarity Consistency Hashing (CSCH), which simultaneously learns a small query model and a large gallery model in a mutually ...
Aug 16, 2024 · Describes the specific area, application, or field in which a large-scale AI model is designed to operate.
Aug 15, 2024 · This paper offers a detailed analysis of ImageNet in its current state: 12 subtrees with 5247 synsets and 3.2 million images in total.