Shypd.aiThe largest open index of AI toolsFlow-Guided-Feature-Aggregation is an open-source tool for video object detection that provides an accurate and end-to-end learning framework. It aggregates nearby frame features along motion paths to improve detection accuracy.
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Flow-Guided Feature Aggregation (FGFA) is an open-source implementation for video object detection, initially described in an ICCV 2017 paper. It offers an accurate and end-to-end learning framework, significantly improving object detection accuracy in videos, particularly for fast-moving objects, by aggregating nearby frame features along motion paths. The tool is end-to-end trainable for video object detection and includes motion-specific evaluation code to assess detection accuracy for slow, medium, and fast-moving objects. This repository is based on MXNet and was developed by interns at MSRA, building upon previous work like Deep Feature Flow.
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