WD-DETR combines a time-decay event representation, wavelet-based denoising in the backbone, and a transformer head to reach new state-of-the-art mAP on DSEC, Gen1, and 1Mpx event camera detection benchmarks.
Graph-based spatio-temporal feature learning for neuromorphic vision sensing,
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WD-DETR: Wavelet Denoising-Enhanced Real-Time Object Detection Transformer for Robot Perception with Event Cameras
WD-DETR combines a time-decay event representation, wavelet-based denoising in the backbone, and a transformer head to reach new state-of-the-art mAP on DSEC, Gen1, and 1Mpx event camera detection benchmarks.