The autoencoder captures TTE patterns and transforms them into CMR-like representations, enhanced by the vision transformer's attention mechanisms. Evaluation through quantitative and qualitative ...

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In this work, we propose a Generative Convolutional Vision Transformer (GenConViT) for deepfake video detection. Our model combines ConvNeXt and Swin Transformer models for feature extraction, and it ...

Vision Transformers, on the other hand, analyze an image more holistically, understanding relationships between different regions through an attention mechanism. A great analogy, as noted in Quanta ...

GigaPath’s two-stage curriculum learning involves pretraining at the tile level with DINOv2 and pre-training at the slide level using masked autoencoder and LongNet. The DINOv2 self-supervision method ...

They follow a masked autoencoder (MAE) strategy during pretraining, ... Segmentation, and Depth Estimation with Vision Transformers ” Pingback: AI Progress Daily Report-08/28 – GoodAI. dsgsg323hi 2024 ...