IEEE

Optimized Ensemble Learning for Semantic Segmentation of Satellite Imagery Using DeepLabV3+ and UNet With PSO and Cross-Dataset Evaluation

Abstract: Semantic segmentation is critical in remote sensing applications such as urban planning, disaster management, and environmental monitoring. However, segmenting complex satellite images ...
GitHub

QuPath extension for DANEELpath

This extension has the same functionalities as the DANEELpath project, but easier to install and to use in QuPath DANEELpath is an open-source image analysis toolkit developed to work with ...
GitHub

AoTInductor gives segmentation fault with torchbind registration

While running this example in Torch-TensorRT with 2.9.0 nightly branch, we get a segmentation fault. https://github.com/pytorch/TensorRT/tree/main/examples/torchtrt ...
Scientific Research Publishing

From U-Net to Swin-Unet Transformers: The Next-Generation Advances in Brain Tumor Segmentation with Deep Learning ()

Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...
IEEE

Toward Sustainable Agriculture: DPA-UNet for Semantic Segmentation of Landscapes Using Remote Sensing Imagery

Abstract: Particularly in agricultural contexts where exact delineation of land cover types is vital for resource management and planning, semantic segmentation is a key technique for high-resolution ...