Astronomers have detected a massive object moving in a synchronized path behind Earth. Early measurements suggest it has been trailing the planet longer than previously assumed. Its trajectory does ...
This project showcases a sophisticated pipeline for object detection and segmentation using a Vision-Language Model (VLM) and the Segment Anything Model 2 (SAM2). The core idea is to leverage the ...
Abstract: Source-Free Object Detection (SFOD) enables knowledge transfer from a source domain to an unsupervised target domain for object detection without access to source data. Most existing SFOD ...
imageops-mcp-server is a FastMCP-based Python server designed for advanced image processing tasks. It provides a suite of tools for fetching, manipulating, and analyzing images from URLs or local file ...
Abstract: Despite significant advances in object detection methods for traffic scenes, object detection under adverse weather conditions is still a challenging task. Especially in foggy weather, the ...
Introduction: Recent advances in artificial intelligence have transformed the way we analyze complex environmental data. However, high-dimensionality, spatiotemporal variability, and heterogeneous ...
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