ESET researchers provide a comprehensive analysis and assessment of a critical severity vulnerability with low likelihood of ...
Abstract: Visual encoders are fundamental components in vision-language models (VLMs), each showcasing unique strengths derived from various pre-trained visual foundation models. To leverage the ...
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 ...
Abstract: Recently graph auto-encoders have received increasingly widespread attention as one of the important models in the field of deep learning. Existing graph auto-encoder models only use graph ...
Most languages use word position and sentence structure to extract meaning. For example, "The cat sat on the box," is not the ...
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