Abstract: Small object detection in remote sensing images is severely hampered by the significant scale variation even among small objects. Conventional methods often rely on a static receptive field ...
Abstract: Slender objects in remote sensing, such as bridges and trains, represent a unique yet under-researched target because of their extreme aspect ratios. This characteristic presents challenges ...
What is this? This workflow audits the annotation quality of object detection datasets. Given a set of images with bounding box annotations and predictions from a trained detector, it identifies which ...
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This Model Context Protocol (MCP) server enables Large Language Models (LLMs) to search across multiple NVIDIA domains to find relevant information about NVIDIA technologies, products, and services.
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