https://paperswithcode.com/sota/image-classification-on-imagenet
Papers with Code - ImageNet Benchmark (Image Classification)
The current state-of-the-art on ImageNet is OmniVec. See a full comparison of 950 papers with code.
paperswithcode.com
https://paperswithcode.com/paper/swin-transformer-v2-scaling-up-capacity-and
Papers with Code - Swin Transformer V2: Scaling Up Capacity and Resolution
#6 best model for Instance Segmentation on COCO minival (mask AP metric)
paperswithcode.com
https://arxiv.org/abs/2105.05537
Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation
In the past few years, convolutional neural networks (CNNs) have achieved milestones in medical image analysis. Especially, the deep neural networks based on U-shaped architecture and skip-connections have been widely applied in a variety of medical image
arxiv.org
https://github.com/fastai/timmdocs/tree/master/
GitHub - fastai/timmdocs: Documentation for Ross Wightman's timm image model library
Documentation for Ross Wightman's timm image model library - GitHub - fastai/timmdocs: Documentation for Ross Wightman's timm image model library
github.com
https://github.com/huggingface/pytorch-image-models?tab=readme-ov-file#features
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