The model architecture is the backbone of your object detection and recognition system, and it determines how fast and how well it can process images. There are many different architectures to ...

the proposed model outperformed the previous state of arts in terms of mAP reaching an improvement of 3% for car and truck object detection while reaching 9.5% mAP improvement for motorcycle object ...

With a plethora of object detection models available ranging from Detectron2 to YOLO, we have developed a model that could learn with minimal data. The data science team at Carbynetech developed a ...

Now that you have installed the required deep learning models and image filters, you can use them to run through each of the architecture ... our existing FasterRCNN model. The intent of this approach ...

This model leverages the power of pre-trained vision-language frameworks, similar to the BLIP-Diffusion architecture ... into downstream object detection tasks and navigational systems (Figure 1).

The architecture diagram for the consistency detection network. The overall architecture of consistency detection comprises two pathways: the point cloud object detection pathway and the image object ...

This paper aims to propose a model to automatically detect underwater object using YOLOv3 architecture with darknet framework and deep learning. This paper also explores the possibility of custom ...

Learn More Six members of Facebook AI Research (FAIR) tapped the popular Transformer neural network architecture ... object detection, a Transformer is able to cut out steps to building a model ...