Traditional object detection algorithms, including both two-stage models like Faster R-CNN and one-stage variants such as ...

The core innovation lies in replacing the traditional DETR backbone with ConvNeXt, a convolutional neural network inspired by ...

Abstract: Bounding Box Regression (BBR) plays a critical role in object detection by refining the predicted location and size of objects to enhance model accuracy. This process involves adjusting the ...

On the right, there is a visualisation of the detector's regressed bounding boxes ... On the left, a red box and label show the false negative object (e.g. book). On the right, we draw the confident ...

3D Detection,3D Object Detection,Bounding Box,Consistency Constraint,Data Pre-processing,Detection Performance,Feature Aggregation,Geometric Information,Grid-based ...

This box is engraved with the name of Sir Roland Hill, the originator of the standardised Penny Post system that was used nationwide. Comments are closed for this object What's this? Most of the ...

Select and upload an image file (.jpg, .jpeg, or .png). The system will process the image and display the object detection bounding boxes and segmentation masks. After processing, the system displays ...

In the latest case of English-language localizers overwriting a Japanese creator’s original creative vision, Netflix’s in-house team has edited a bit of dialogue in Blue Box to have someone who was ...