This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.
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Updated
Aug 24, 2022 - Python
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.
A Detection Toolbox for Tensorflow2
Pytorch Implement of UPerNet
Swin-UperNet on Glacier Extraction
Enhanced Feature Fusion for Plant Semantic Segmentation — Novel cross-attention fusion mechanisms for Side Adapter Networks (SAN) with learnable temperature, gated attention & feature difference. Built on PyTorch, CLIP ViT-L/14, Swin Transformer, and MMSegmentation.
Adaptive hybrid segmentation for UAV video: run the model on keyframes, propagate labels along optical flow, re-infer when forward-backward coverage drops. 1.65× faster at 96.2% of baseline mIoU on UAVid.
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