# Multi-scale feature extraction

RT-DETRv2 is an improved real-time object detection model based on the DETR architecture, optimizing detection performance through innovations like selective multi-scale feature extraction and dynamic data augmentation.

RT-DETRv2 is an improved real-time object detection Transformer model that enhances performance through strategies such as selective multi-scale feature extraction and dynamic data augmentation.

RT-DETRv2 is an improved version of the real-time object detection Transformer model, enhancing performance through multi-scale feature extraction and optimized training strategies.

RT-DETRv2 is an optimized real-time object detection model based on the RT-DETR architecture. It improves detection accuracy while maintaining real-time performance through selective multi-scale feature extraction and enhanced training strategies.

Switti is a scale-aware text-to-image generation transformer focused on high-quality image synthesis.

RT-DETRv2 is an improved real-time detection transformer that enhances flexibility and practicality through plug-and-play optimization schemes and achieves stronger performance with optimized training strategies.

A deep learning model for image segmentation tasks, capable of precisely segmenting different objects or regions in an image.