13 hours ago · A novel detection method is proposed to address the challenge of detecting small objects in object detection. This method augments the YOLOv8n architecture.

13 hours ago · Object detection technology essentially extends image classification tasks, aiming to distinguish moving targets from backgrounds of varying complexity to ...

18 hours ago · Object Detection: Identifying and localizing objects within an image. · Activity Recognition: Understanding human actions or interactions based on visual inputs.

17 hours ago · Deep learning for image classification and recognition · Object detection and tracking · Image segmentation and analysis · 3D reconstruction and modeling · Image ...

19 hours ago · Nowadays, deep-learning object-based detection is very often used for predicting and ensuring safety, in workspaces shared by human operators and robots.

13 hours ago · Image classification, a fundamental task in computer vision, involves automatically assigning labels or categories to images based on their visual content.

16 hours ago · Image segmentation makes it easier to work with computer vision applications. Here we look at U-Net, a convolutional neural network designed for biomedical ...

24 hours ago · Deep Convolutional Neural Networks (DNNs) perform poorly in tasks with low image resolution or small objects. Most DNN architectures use strided convolutions or ...

19 hours ago · The visual encoder is responsible for extracting image features, while the visual projection layer decouples and aligns these features with the semantic space ...

13 hours ago · First, the scale factor for the spatial down-sampling increases as the object detection accuracy decreases because the boundaries of the image become ...