ESET researchers provide a comprehensive analysis and assessment of a critical severity vulnerability with low likelihood of ...

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 ...

Abstract: Change detection is a critical task in earth observation applications. Recently, deep-learning-based methods have shown promising performance and are quickly adopted in change detection.

This repository provides the baseline system for Language-based Audio Retrieval (Task 6B) in DCASE 2023 Challenge. 2023/03/20 Update: Training checkpoints for the baseline system and its audio encoder ...