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Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
There are two main variants for the SWIN transformer the original SWIN transformer, official implementation here, and the Video SWIN transformer, official implementation here. Both architectures are very similar with the differences being mainly in the size of the input. The SWIN transformer pretrained on imagenet can be used as the backbone for different applications either image or video-based. In fact, the authors pretrained the original SWIN transformer on imagenet then they modified the input size and then fine-tuned it on video action recognition datasets. In your case, you can use the original SWIN transformer pretrained on imagenet then fine-tune it on your own dataset without modifying anything about the input size, since it is designed to process images.
There are two main variants for the SWIN transformer the original SWIN transformer, official implementation here, and the Video SWIN transformer, official implementation here. Both architectures are very similar with the differences being mainly in the size of the input. The SWIN transformer pretrained on imagenet can be used as the backbone for different applications either image or video-based. In fact, the authors pretrained the original SWIN transformer on imagenet then they modified the input size and then fine-tuned it on video action recognition datasets. In your case, you can use the original SWIN transformer pretrained on imagenet then fine-tune it on your own dataset without modifying anything about the input size, since it is designed to process images.