# Bipartite Matching Loss

A small-sized YOLOS model fine-tuned on the COCO 2017 object detection dataset, utilizing Vision Transformer architecture for efficient object detection

A YOLOS model fine-tuned on the COCO 2017 object detection dataset, utilizing a Vision Transformer architecture, suitable for object detection tasks.

A vision Transformer (ViT)-based object detection model trained with DETR loss function, achieving excellent performance on the COCO dataset.

YOLOS model fine-tuned on the COCO 2017 object detection dataset, utilizing Vision Transformer architecture for efficient object detection.

DETR is an end-to-end object detection model based on Transformer architecture, using ResNet-50 as the backbone network, trained on the COCO dataset, and supports object detection and panoptic segmentation tasks.