The four-phase proposed model consists of a 3D Convolutional neural network (3DCNN) combined with an LSTM multiplicative recurrent network and Yolov6 for real-time object detection. The four stages of ...

RF-DETR is a real-time object detection model architecture developed by Roboflow, SOTA on COCO & designed for fine-tuning. - DatSplit/rf-detr_export_documentation ...

Object First, the best storage for Veeam ® users, today announced the European launch of its flexible pay-per-use Consumption model for Ootbi, the company’s immutable backup st ...

Motivated by an interesting phenomenon that the performance of object detection lags behind that of instance segmentation at the beignning decoder layer, DI-MaskDINO is proposed to alleviate the ...