IEEE

Deep Quasi-Recurrent Self-Attention With Dual Encoder-Decoder in Biomedical CT Image Segmentation

Abstract: Developing deep learning models for accurate segmentation of biomedical CT images is challenging due to their complex structures, anatomy variations, noise, and unavailability of sufficient ...
marktechpost

Google Introduces T5Gemma 2: Encoder Decoder Models with Multimodal Inputs via SigLIP and 128K Context

T5Gemma 2 follows the same adaptation idea introduced in T5Gemma, initialize an encoder-decoder model from a decoder-only checkpoint, then adapt with UL2. In the above figure the research team show ...
GitHub

Reduced order modeling with shallow recurrent decoder networks

SHallow REcurrent Decoder-based Reduced Order Model (SHRED-ROM) is an ultra-hyperreduced order modeling framework aiming at reconstructing high-dimensional data from limited sensor measurements in ...
IEEE

Encoder-Decoder Based Deep Reinforcement Learning for Multi-AUV Assisted Data Collection in UWSNs

Abstract: Reliable and timely data collection poses a significant challenge for underwater wireless sensor networks (UWSNs), primarily due to the extremely low data rate of underwater communication ...
GitHub

HiFi Decode

Please consult the Hardware Installation Guide for installation of RF Taps. HiFi FM signals can be captured with just about any basic SDR or ADC system, as its ...