SINet
ml-cvnets
SINet | ml-cvnets | |
---|---|---|
1 | 4 | |
491 | 1,697 | |
- | 2.4% | |
3.2 | 4.8 | |
about 2 years ago | 7 months ago | |
Python | Python | |
- | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
SINet
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Project Help
https://github.com/DengPingFan/SINet.
ml-cvnets
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Apple Researchers Introduce ByteFormer: An AI Model That Consumes Only Bytes And Does Not Explicitly Model The Input Modality - MarkTechPost
https://github.com/apple/ml-cvnets/tree/main/examples/byteformer - Where the code will be located once uploaded
- CVNets - A library for training computer vision networks
- CVNets – A library for training computer vision networks
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Apple ML Researchers Introduce ‘MobileViT’: A Light-Weight And General-Purpose Vision Transformer For Mobile Devices
Github: https://github.com/apple/ml-cvnets
What are some alternatives?
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.
semantic-segmentation-pytorch - Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
PaddleViT - :robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+
Put-In-Context - Putting Visual Object Recognition in Context
dytox - Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022
mmrazor - OpenMMLab Model Compression Toolbox and Benchmark.
EfficientFormer - EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]
albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
dgcnn.pytorch - A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)
PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
HybridNets - HybridNets: End-to-End Perception Network