Self supervised autoencoder approach aimed towards improving the detections of SOTA object detector YOLOv5 by detecting and re-constructing multiple objects in an image. This approach effectively ...

One such subfield is deep learning ... and localizing the object perfectly with annotations. YOLOv4 is employed in this work for multiple object detection in image and video for traffic surveillance ...

Real Time object detection ... previous YOLOv5 versions. There is no official paper released yet and also many controversies are happening about its name. Now Let’s see some coding example that was ...

To achieve autonomous and intelligent sampling of the hydrothermal plume by using AUV, this paper proposes an innovative method for real-time plume detection based on the YOLOv5n deep learning ... by ...

As we all know, the key to object tracking and behavior analysis is object detection. Therefore, underwater object detection technology has become an important research direction based on deep ...

This project aims to develop deep learning models for the detection and classification of brain tumors using MRI images ... Additionally, a YOLOv5 model is trained on a brain tumor dataset from ...

The novel technique is based on the VarifocalNet deep-learning object detection ... other detection methods were tested on the same database: RetinaNet, DDH-YOLOv5, Faster GG R-CNN, Cascade ...