Nature

Deep learning for automatic segmentation of the inferior alveolar nerve using a hybrid CNN–transformer framework

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...
Nature

Solar energy articles from across Nature Portfolio

Over 800 GB of high-resolution operational solar tower power plant data have been compiled to form an open-access interface that complies with FAIR data principles. This database, known as PAINT, ...
IEEE

CAT-EDNet: Cross-Attention Transformer-Based Encoder–Decoder Network for Salient Defect Detection of Strip Steel Surface

Abstract: The morphologies of various surface defects on strip steel suffer from oil stain, water drops, steel textures, and erratic illumination. It is still challenging to recognize defect boundary ...
IEEE

MaS-TransUNet: A Multiattention Swin Transformer U-Net for Medical Image Segmentation

Abstract: U-shaped encoder-decoder models have excelled in automatic medical image segmentation due to their hierarchical feature learning capabilities, robustness, and upgradability. Purely CNN-based ...
marktechpost

Google DeepMind Releases Gemma 4 12B: An Encoder-Free Multimodal Model with Native audio that runs on a 16 GB laptop

Gemma 4 12B is a 12-billion-parameter decoder-only transformer. It handles text, images, audio, and video natively. There are no separate vision or audio encoders. The decoder uses the same structure ...
LinkedIn

Transformer Architecture: Encoder and Decoder Process

𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐞𝐫 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 : The 𝐄𝐧𝐜𝐨𝐝𝐞𝐫 𝐢𝐬 𝐥𝐢𝐤𝐞 𝐚 ...
GitHub

Harsha081459/Question-Answer-System-with-a-Custom-Transformer-Encoder-and-Generative-Decoder

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
GitHub

MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers

This repository contains the implementation for the paper: MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers by Yawar Siddiqui, Antonio Alliegro, Alexey Artemov, Tatiana Tommasi, ...
Frontiers

DPCrossU-Net: a dual-branch parallel CNN–Transformer network for lung nodule segmentation

We propose DPCrossU-Net, a dual-branch parallel encoder–decoder network that integrates convolutional and Vision Transformer representations. The encoder employs parallel CNN and ViT branches with a ...