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We propose an encoder-decoder for open-vocabulary semantic segmentation comprising a hierarchical encoder-based cost map generation and a gradual fusion decoder. We introduce a category early ...

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Abstract: Recent deep learning methods for vessel trajectory prediction are able to learn complex maritime patterns from historical automatic identification system (AIS) data and accurately predict ...

Abstract: Semantic segmentation of microscopy cell images by deep learning plays a crucial role in advancing medicine and cell biology research. We considered that Transformers, which have recently ...