segmenter
PaddleViT
segmenter | PaddleViT | |
---|---|---|
1 | 2 | |
797 | 1,169 | |
- | - | |
0.0 | 0.0 | |
15 days ago | over 1 year ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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segmenter
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Comparison of inference time between convolution nets and transformers
I am not very familiar with ViT (Transformer) based networks. But I tried https://github.com/rstrudel/segmenter to replace some CNN based segmentation nets.
PaddleViT
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Researchers From China Propose A Pale-Shaped Self-Attention (PS-Attention) And A General Vision Transformer Backbone, Called Pale Transformer
Code for https://arxiv.org/abs/2112.14000 found: https://github.com/BR-IDL/PaddleViT
Github: https://github.com/BR-IDL/PaddleViT
What are some alternatives?
segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.
FastestDet - :zap: A newly designed ultra lightweight anchor free target detection algorithm, weight only 250K parameters, reduces the time consumption by 10% compared with yolo-fastest, and the post-processing is simpler
segmentation_models - Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
medicaldetectiontoolkit - The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
HRNet-Semantic-Segmentation - The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
mmrazor - OpenMMLab Model Compression Toolbox and Benchmark.
SINet - Camouflaged Object Detection, CVPR 2020 (Oral)
PyTorch-Vision-Transformer-ViT-MNIST-CIFAR10 - Simplified Pytorch implementation of Vision Transformer (ViT) for small datasets like MNIST, FashionMNIST, SVHN and CIFAR10.
ttach - Image Test Time Augmentation with PyTorch!
ml-cvnets - CVNets: A library for training computer vision networks
sigmarsgarden - Opus Magnum's Sigmar's Garden Autosolver, using OpenCV Template Matching
inference - A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.