Here is an example of a diagram that can be recognized by the model: This work is based on the paper "Arrow R-CNN for handwritten diagram recognition ... object detection algorithms. It is written in ...

Abstract: Military object detection is an indispensable and challenging task for defence systems which includes the tracking, tracing, security, and surveillance of any territory or region. These ...

You need to label each object ... detection and recognition, such as convolutional neural networks (CNNs), region-based methods (R-CNNs), or single-shot methods (SSDs). You can use frameworks ...

LLaMA-Unidetector consists of a two-stage algorithm, namely object localization and foreground recognition ... An LLaMA-Based Universal Framework for Open-Vocabulary Object Detection in Remote Sensing ...

Multi-label attribute recognition is a critical task in computer vision, with applications ranging across diverse fields. This problem often involves detecting objects with multiple attributes, ...

The proposed sketch segmentation framework has ability to handle complex sketches with overlapped objects ... a novel symbol recognition algorithm is introduced by leveraging the learnt shape ...