Hybrid depth estimation model developed by Intel, combining the advantages of convolutional neural networks and Transformer architecture

Computer VisionTransformers

LeViT-192 is a vision model that combines convolutional neural networks and Transformer architecture, focusing on image classification tasks.

Computer VisionTransformers

CvT-13 is a hybrid architecture model combining convolutional neural networks and vision transformers, pre-trained on the ImageNet-1k dataset, suitable for image classification tasks.

Computer VisionTransformers

DETR is an end-to-end object detection model combining convolutional neural networks and Transformer architecture, supporting panoptic segmentation tasks.

Computer VisionTransformers

DETR is an end-to-end object detection model combining convolutional neural networks with Transformers, supporting panoptic segmentation tasks.

Computer VisionTransformers