GitHub

Encoder-minimal and Decoder-minimal Framework for Remote Sensing Image Dehazing

Abstract: Haze obscures remote sensing images, hindering valuable information extraction. To this end, we propose RSHazeNet, an encoder-minimal and decoder-minimal framework for efficient remote ...
IEEE

PGC-Net: A Novel Encoder-Decoder Network With Path Gradient Flow Control for Cell Counting

Abstract: To carry out cell counting, it is common to use neural network models with an encoder-decoder structure to generate regression density maps. In the encoder-decoder structure, skip ...
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

Verginius/CS5489_Course-Project_Machine-Translation

This project implements a Transformer-based neural machine translation (NMT) system from scratch in PyTorch, following the architecture described in "Attention Is All You Need" (Vaswani et al., 2017).
IEEE

CCEnd-Net: Cross-Modal Cascaded Encoder-Decoder Network for Multisource Data Fusion Classification

Abstract: Multisource data fusion offers great potential for land cover classification. However, the substantial differences in data structures and content representations across various remote ...