2 hours ago · Emerging trends in image retrieval research encompass various aspects such as content-based image retrieval (CBIR), hash learning algorithms, noise removal ...
13 hours ago · This synergy enables a wide range of applications, from recommendation systems to image similarity search, all operating at scale and with remarkable speed.
9 hours ago · Using a large set of image-text (caption) pairs, they trained the model to maximize vector similarity between correct pairs and minimize it for unrelated pairs.
15 hours ago · We applied Holm's method to adjust the final p-values of all genes, enabling the identification of statistically significant SVGs at a genome-wide scale. The ...
11 hours ago · It is probably easier to verify that images are semantically similar than sentences, since language is more abstract. So pixels can be wildly different and ...
19 hours ago · Vector Similarity Search: Pinecone excels at finding similar vectors in large datasets quickly and accurately, making it ideal for applications like ...
20 hours ago · StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models ... Models for Conversational Intent Discovery Jinggui ...
2 hours ago · The University of Southampton has led a project to create a 'digital twin' of a pioneering research vessel. The project focuses on the RRS Discovery, ...
15 hours ago · However, training these models on large-scale KGs can be challenging due to the scale of the problem. As the number of entities in a KG increases, the ...
