(1) 图像Object detection 评估指标:Average Precision (AP) and Average Recall (AR) Visdrone:CornerNet achieves the best performance, while SSD* performs the worst. UAVDT:在CVPR2020发布的D2Det中,密集局部回归实现了所有方法中最好的性能 (2) 视频Object detection (3) Object Tracking 评估指标:对于无人...
unmanned aerial vehicle-based object detection (UAV-OD)Knowledge distillation (KD) is an effective method for compressing models in object detection tasks. Due to limited computational capability, unmanned aerial vehicle-based object detection (UAV-OD) widely adopt the KD technique to obtain light...
We present the HIT-UAV dataset, a high-altitude infrared thermal dataset for object detection applications on Unmanned Aerial Vehicles (UAVs). The dataset comprises 2,898 infrared thermal images extracted from 43,470 frames in hundreds of videos captured by UAVs in various scenarios, such as schoo...
Combining an object-detection algorithm with an unmanned aerial vehicle (UAV) can accelerate the detection of road cracks. To address the difficulties of intricate crack morphology, similar color to the road, and small crack area, this paper describes a UAV road crack object-detection algorithm usi...
论文阅读《Self-Attention Guidance and Multiscale Feature Fusion-Based UAV Image Object Detection》 Tywwhale 1 人赞同了该文章 摘要 无人机(UAV)图像的目标检测是近年来研究的热点。现有的目标检测方法在一般场景上取得了很好的结果,但无人机图像存在固有的挑战。无人机图像的检测精度受到复杂背景、显著尺度差异...
Machine VisionMoving UAVObject DetectionRecognition AlgorithmTarget TrackingTo conquer disadvantages of slow speed of target tracking algorithm in original distribution field as well as easiness of being caught in local optimal solution, one target tracking algorithm of real-time distribution field based on...
The prevailing applications of Unmanned Aerial Vehicles (UAVs) in transportation systems promote the development of object detection methods to collect real-time traffic information through UAVs. However, due to the small size and high density of objects from the aerial perspective, most existing algori...
Combining an object-detection algorithm with an unmanned aerial vehicle (UAV) can accelerate the detection of road cracks. To address the difficulties of intricate crack morphology, similar color to the road, and small crack area, this paper describes a UAV road crack object-detection algorithm usi...
Therefore, this paper proposes Efficient Feature CenterNet, an object detection model designed to identify leaf diseases with high accuracy and minimal latency. Compared to the previous studies, EF-CenterNet distinguishes itself with an anchor-free design, which directly predicts objects’ center points ...
Compared with some excellent lightweight networks, the proposed network achieved the highest and second-highest detection accuracy on the two datasets with the smallest parameter amount and a medium calculation amount, respectively. Keywords: unmanned aerial vehicle (UAV); small object detection; light...