Oct 12, 2023 · We propose an effective method, named YOLOFs, to boost small object detection precision in the case of object instances scale variation.

Nov 15, 2023 · Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person ...

Sep 28, 2024 · You Only Look Once (YOLO) is a state-of-the-art, real-time object detection algorithm introduced in 2015 by Joseph Redmon, Santosh Divvala, Ross Girshick, and ...

Dec 18, 2023 · YOLO is a single-shot algorithm that directly classifies an object in a single pass by having only one neural network predict bounding boxes and class ...

Jun 21, 2024 · ... You Only Look One-level Feature." YOLOF is a simplified, efficient variant of the YOLO (You Only Look Once) series tailored for real-time object detection ...

Jul 7, 2024 · Based on the simple and efficient solution, we present You Only Look One-level Feature (YOLOF). In our method, two key components, Dilated Encoder and Uniform ...

May 16, 2024 · Given an image including multi-scale objects, however, humans perceive them by looking at the contents in the image and comparing them mutually with each other.

Mar 2, 2024 · This paper introduces an innovative attention mechanism called Efficient Local Attention (ELA), aiming to enhance the representation capability of CNNs.

Apr 4, 2024 · YOLO (You Only Look Once) models are real-time object detection systems that identify and classify objects in a single pass of the image.

Oct 16, 2023 · In general, the detection speed of the first-stage detector is faster, but the detection accuracy is not higher than that of the two-stage detector [35].