Abstract: Domain-adaptive object detection (DAOD) aims to generalize detectors trained in labeled source domains to unlabeled target domains by mitigating domain bias. Recent studies have confirmed ...
TL;DR: We propose ReAlign, a plug-and-play reward-guided alignment strategy for text-to-motion generation, which explicitly enhances both semantic consistency and motion realism throughout the ...
This project provides an end-to-end solution for recognizing Arabic handwritten, printed text, and Arabic numbers from images and documents on a given template document. The system efficiently detects ...
Practice smart by starting with easier problems to build confidence, recognizing common coding patterns, and managing your ...
Abstract: The task of table-to-text generation involves summarizing and creating natural language descriptions of tables. Previous approaches have used sequence-to-sequence generation methods, which ...
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