SIKNet, a learned Kalman filter with a semantic-independent encoder, improves bounding-box motion prediction in multi-object tracking over the classic Kalman filter and prior KalmanNet variants.
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Motion Estimation for Multi-Object Tracking using KalmanNet with Semantic-Independent Encoding
SIKNet, a learned Kalman filter with a semantic-independent encoder, improves bounding-box motion prediction in multi-object tracking over the classic Kalman filter and prior KalmanNet variants.