In the cutting edge and quick world, finding a precise and proficient object recognition for headway in Computer vision frameworks has been integral part. With the emerge offaster (due to faster and ...

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 ...

Smart Surveillance Solution: Proactively detect loitering in public areas. YOLOv5 Integration: Accurate, real-time object detection. Scalability: Suitable for various surveillance environments.

Multiple Object detection and tracking is a predominant area in computer vision and has numerous applications, including healthcare monitoring, autonomous driving, and anomaly detection. The proposed ...

Real Time object detection is a technique of detecting objects from video, there are many proposed network architecture that has been published over the years like we discussed EfficientDet in our ...

Deep learning object detection-based early detection of lung cancer Kuo-Yang Huang 1,2,3 Che-Liang Chung 2,3,4 Jia-Lang Xu 5 * 1 Division of Chest Medicine, Department of Internal Medicine, Changhua ...

The novel technique is based on the VarifocalNet deep-learning object detection framework, which was reportedly tweaked to achieve quicker and more accurate results. Compared to other such methods ...