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Jan 22, 2024 · Large-scale image retrieval is a task in computer vision that involves efficiently searching and retrieving images from a large size database based on their ...
Oct 7, 2023 · At its core, FAISS is engineered to provide faster similarity searching even when dealing with vectors numbering in the millions or billions. It achieves this ...
Mar 1, 2024 · We propose a novel approach to image topic modeling, which accounts for visual content as well as semantic information by leveraging the image captioning model.
Dec 11, 2023 · For example, the Cosine similarity method is leveraged to understand the similarity between two images —a concept on which self-driving cars are based.
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 ...
Jun 28, 2024 · We analytically discover that CLIP suffers from the text-to-image retrieval hallucination, adversely limiting its capabilities under zero-shot learning.
Nov 10, 2023 · For image similarity search, we need an approximate nearest neighbor search that stores high-dimensional data and supports vector payloads of different data ...
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Feb 7, 2024 · Cross-modal retrieval techniques let us investigate and glean valuable insights from multimodal material by using the connections between visuals and text.
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Sep 14, 2023 · Similarity learning is a branch of machine learning that focuses on training models to recognize the similarity or dissimilarity between data points.
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Jul 1, 2024 · We present DiscoveryBench, the first comprehensive benchmark that formalizes the multi-step process of data-driven discovery.