Swin-Transformer-Semantic-Segmentation
Swin-Transformer-Serve
Swin-Transformer-Semantic-Segmentation | Swin-Transformer-Serve | |
---|---|---|
1 | 1 | |
1,081 | 26 | |
0.0% | - | |
0.0 | 0.0 | |
over 1 year ago | almost 3 years ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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Swin-Transformer-Semantic-Segmentation
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[P] Code and pretrained models for Swin Transformer are released (SOTA models on COCO and ADE20K)
Semantic segmentation on ADE20K: https://github.com/SwinTransformer/Swin-Transformer-Semantic-Segmentation
Swin-Transformer-Serve
What are some alternatives?
mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Swin-Transformer-Object-Detection - This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.
torchlambda - Lightweight tool to deploy PyTorch models to AWS Lambda
labelme - Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
merged_depth - Monocular Depth Estimation - Weighted-average prediction from multiple pre-trained depth estimation models
Video-Swin-Transformer - This is an official implementation for "Video Swin Transformers".
QualityScaler - QualityScaler - image/video deeplearning upscaling for any GPU
PaddleClas - A treasure chest for visual classification and recognition powered by PaddlePaddle
SeMask-Segmentation - [NIVT Workshop @ ICCV 2023] SeMask: Semantically Masked Transformers for Semantic Segmentation
semantic-segmentation-pytorch - Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset