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5 days ago · Explore various image similarity algorithms used in Similarity Search to enhance visual data retrieval and analysis. | Restackio.
6 days ago · To do this, it computes the activation maps from a given convolutional layer for each image. Next, the cosine similarity between activation maps and the learned ...
1 day ago · Microsoft researchers are working to apply “foundation models” – large-scale models that take advantage of recent AI advances – to scientific disciplines.
6 days ago · One of the main challenges in the field of CIR is the requirement for large-scale annotated data, which is typically costly and laborious to collect. In table 1 ...
5 days ago · Zero-shot evaluation refers to the process of training or fine-tuning a model on a large-scale dataset and then testing its performance on different datasets ...
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10 hours ago · This study advances virus discovery, highlights the scale of the virosphere, and provides computational tools to better document the global RNA virome.
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19 hours ago · Explore advanced similarity algorithms in AI for drug discovery, enhancing the efficiency of drug development processes.
2 days ago · Conditional embeddings can also be used to influence the style or quality of results, similar to how prompts work in image generation models. These advanced ...
22 hours ago · Image classification plays a pivotal role in analyzing biomedical images, serving as a cornerstone for both biological research and clinical diagnostics.
2 days ago · MolMIM can be used to explore “drug-like” chemical space to generate novel small molecules, structurally similar to a given query in a SMILES string, with the ...