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.

Sep 27, 2024 · In this post, we'll explore the fundamental concepts of large-scale similarity search and introduce some of the most powerful techniques used to tackle this ...

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 3, 2024 · We present DiscoveryBench, the first comprehensive benchmark that formalizes the multi-step process of data-driven discovery.

Jul 22, 2024 · This method allows the model to capture both small and large-scale features, making it highly effective in generating accurate embeddings for image similarity ...

Apr 7, 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 ...

Missing: discovery | Show results with:discovery

Jun 10, 2024 · Abstract. How do two sets of images differ? Discerning set-level differences is crucial for understanding model behaviors.

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 ...

May 23, 2024 · Explore how similarity search transforms data retrieval in e-commerce, NLP, and more. Learn key techniques and boost your system's efficiency. Read now!