Abstract: Feature grid Scene Representation Networks (SRNs) have been applied to scientific data as compact functional surrogates for analysis and visualization. As SRNs are black-box lossy data ...
The MB86H60 highly integrated System-on-Chip is a multi standard decoder for set-top-boxes that complies DVB standards used mainly in Europe. The decoder is able to decode both full HD MPEG-2 and ...
Abstract: RGB-thermal salient object detection (SOD) aims to segment the common prominent regions of visible image and corresponding thermal infrared image that we call it RGBT SOD. Existing methods ...
This repository contains the reproducibility package for the study "Multi-Objective Decoder Block Pruning for Image Captioning Across Vision-Language Models". The project evaluates decoder block ...
MEDLA-Multi-domain-encoder-decoder-neural-networks-for-latent-data-assimilation-in-dynamical-systems
We introduce a novel deep-learning-based data assimilation scheme, named Multi-domain Encoder-Decoder Latent data Assimilation (MEDLA), capable of handling diverse data sources by sharing a common ...
Self-supervised learning has shown superior performance on graph-related tasks in recent years. The most advanced methods are based on contrast learning, which severely limited by structured data ...
Transformers have taken over from recurrent neural networks (RNNs) as the preferred architecture for natural language processing (NLP). Transformers stand out conceptually because they directly access ...
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