-
One-shot Localization and Segmentation of Medical Images with Foundation Models
A variety of pre-trained ViT (DINO, DINOv2, SAM, CLIP) and SD models, trained exclusively on natural images, for solving the correspondence problems on medical images. -
ViT Tree Heritage Recovery (VTHR) dataset
The dataset used in the paper for Model Tree Heritage Recovery (MoTHer Recovery) is the ViT Tree Heritage Recovery (VTHR) dataset. -
TEMGNet: Deep Transformer-based Decoding of Upperlimb sEMG for Hand Gestures ...
The TEMGNet framework is proposed for hand gesture recognition from sEMG signals. -
DeiT and ViT models on ImageNet-1k and CIFAR-100
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used DeiT and ViT models on ImageNet-1k and CIFAR-100 datasets.
