uzh-rpg/event_representation_study
Official PyTorch implementation of the ICCV 2023 paper: From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection.
This project provides an improved way to process data from event-based cameras, which are specialized cameras that only record changes in a scene. It takes raw event data and annotations, then uses an optimized representation to more accurately recognize and detect objects within those dynamic scenes. This is useful for researchers and engineers developing computer vision systems that rely on event camera input for tasks like robotics or autonomous navigation.
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Use this if you are working with event camera data and need to improve the accuracy and efficiency of object recognition and detection in rapidly changing environments.
Not ideal if your primary data source is traditional frame-based video or still images.
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Python
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Last pushed
Apr 03, 2024
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