IEEE

DE-Unet: Dual-Encoder U-Net for Ultra-High Resolution Remote Sensing Image Segmentation

Abstract: In recent years, there has been a growing demand for remote sensing image semantic segmentation in various applications. The key to semantic segmentation lies in the ability to globally ...
IEEE

A Novel Hybrid Architecture With Fast Lightweight Encoder and Transformer Under Attention Fusion for the Enhancement of Sand Dust and Haze Image Restoration

Abstract: Outdoor weather conditions such as haze, fog, sand dust, and low light significantly degrade image quality, causing color distortions, low contrast, and poor visibility. In spite of the ...
CNX Software

Rockchip RK1820/RK1828 SO-DIMM and M.2 LLM/VLM AI accelerator modules, devkits, and benchmarks

Rockchip unveiled two RK182X LLM/VLM accelerators at its developer conference last July, namely the RK1820 with 2.5GB RAM for ...
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

Variational Autoencoder (VAE) for Image Generation

This project implements a Variational Autoencoder (VAE) for image generation. Unlike standard autoencoders, VAE learns a probabilistic latent space by encoding images to a distribution and sampling ...