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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.
Apr 1, 2024 · Our model, CSD, outperforms other large-scale pre-trained models and prior style retrieval methods on standard datasets. Using CSD, we examine the extent of ...
Sep 27, 2024 · By leveraging similarity search to find relevant documents, RAG models can access a broader knowledge base and produce more informative and contextually rich ...
Nov 29, 2023 · Here we show that graph networks trained at scale can reach unprecedented levels of generalization, improving the efficiency of materials discovery by an order ...
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 ...
Missing: large | Show results with:large
Jul 3, 2024 · We present DiscoveryBench, the first comprehensive benchmark that formalizes the multi-step process of data-driven discovery.
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Feb 22, 2024 · My objective is to implement an image similarity search to identify and flag duplicate images of the same person within this extensive dataset.
Jul 26, 2024 · Build an efficient image similarity search system with VGG16 and FAISS for fast, accurate retrieval of similar images.
Missing: discovery | Show results with:discovery
Feb 7, 2024 · By training a joint model that maps images and textual data into a shared embedding space, we can measure their compatibility and similarity. In the case of ...
Feb 1, 2024 · This paper introduces AIM, a collection of vision models pre-trained with an autoregressive objective. These models are inspired by their textual counterparts.
Missing: discovery | Show results with:discovery
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