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: Recent advancements in scaling pre-trained language models have led to significant performance improvements across various tasks. Yet, adapting these large models poses substantial ...
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