Compliance continues to drive adoption of trusted open source: We saw the same themes from December present here, underscored ...

Anthropic’s Claude Code leak reveals how modern AI agents really work, from memory design to orchestration, and why the ...

Abstract: For the problem of low accuracy and efficiency in criminal investigation image retrieval tasks, proposed a retrieval method based on deep hash coding. Adopting ResNet as backbone network for ...

Abstract: Composed Image Retrieval (CIR) is a vision-language task utilizing queries comprising images and textual descriptions to achieve precise image retrieval. This task seeks to find images that ...

Official implementation of the ECIR 2026 paper: Image Complexity-Aware Adaptive Retrieval for Efficient Vision-Language Models. ICAR implements adaptive routing for image-text retrieval using an image ...

OpenAI is rolling out a new version of ChatGPT Images that promises better instruction-following, more precise editing, and up to 4x faster image generation speeds. The new model, dubbed GPT Image 1.5 ...

FashionIQ: Please refer to the FashionIQ repo to get the datasets. CIRR: Please refer to the CIRR repo for instructions. @article{liu2023zeroshot, title={Zero-shot Composed Text-Image Retrieval}, ...

In this tutorial, we implement an advanced graph-based AI agent using the GraphAgent framework and the Gemini 1.5 Flash model. We define a directed graph of nodes, each responsible for a specific ...