An efficient transformer architecture for BEV instance prediction reduces parameter counts and inference times versus SOTA by relying on a simplified paradigm of only instance segmentation and flow prediction.
Bev- former: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers,
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Fast and Efficient Transformer-based Method for Bird's Eye View Instance Prediction
An efficient transformer architecture for BEV instance prediction reduces parameter counts and inference times versus SOTA by relying on a simplified paradigm of only instance segmentation and flow prediction.