GitHub

Transformer-Based Decoder Designs for Semantic Segmentation on Remotely Sensed Images

This repository presents cutting-edge decoder architectures integrated with Transformer networks for semantic segmentation of remotely sensed images. Building upon my prior research in remote sensing ...
IEEE

De-END: Decoder-Driven Watermarking Network

Abstract: Deep-learning-based watermarking technique is being extensively studied. Most existing approaches adopt a similar encoder-driven scheme which we name END (Encoder-NoiseLayer-Decoder) ...
GitHub

High Resolution Canopy Height Maps

PyTorch implementation and pretrained models for High resolution Canopy Height Prediction inference. For details, see the paper: Very high resolution canopy height maps from RGB imagery using ...
IEEE

Compensating for Local Ambiguity With Encoder-Decoder in Urban Scene Segmentation

Abstract: Semantic segmentation plays a critical role in scene understanding for self-driving vehicles. A line of efforts has proven that global context matters in urban scene segmentation due to ...