Abstract: We present in this paper a novel denoising training method to speed up DETR (DEtection TRansformer) training and offer a deepened understanding of the slow convergence issue of DETR-like ...
Abstract: Existing methods for large-scale place recognition often struggle to generalize across cross-source datasets due to their limited ability to simultaneously capture local geometric features ...
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