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Support PointRend, Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, EncNet, DuNet, CGNet, CCNet, BiSeNet, PSPNet, ICNet, FCN, deeplab)
A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network
A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network(PyTorch >= 1.4)
Semantic Segmentation of Aerial Images
Automatic Detection of Solar Panels in High-Resolution Aerial Imagery.
A PyTorch implementation of Fast-SCNN based on BMVC 2019 paper "Fast-SCNN: Fast Semantic Segmentation Network"
These projects were developed as part of advanced coursework in Neural Networks and Deep Learning, focusing on cutting-edge architectures and their practical implementation for computer vision tasks.
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