[ Compressed yolov5 for oriented object detection with integrated network slimming and knowledge distillation] 通过BNSF方法剪枝网络,但将微调与知识蒸馏相结合以节省训练时间,同时保持 准确性。 [An improved yolov5 real-time detection method
[ Compressed yolov5 for oriented object detection with integrated network slimming and knowledge distillation] 通过BNSF方法剪枝网络,但将微调与知识蒸馏相结合以节省训练时间,同时保持 准确性。 [An improved yolov5 real-time detection method for aircraft target detection] 中的作者用MobileNetV3替换了CSPDarknet...
The steps include video condensation and deep learning-based anomaly detection. Initially, the necessary video for anomaly detection is gathered from the datasets. The gathered video is converted into frames and is used for object detection in each frame using Improved YOLOv5 (I-YOLOv5). Then, ...
Yolov5 for Oriented Object Detection The code for the implementation of “Yolov5 + Circular Smooth Label”. Results and Models The results on DOTA_subsize1024_gap200_rate1.0 test-dev set are shown in the table below. (password: yolo) Model(download link)Size(pixels)TTA(multi-scale/rotate ...
[ Compressed yolov5 for oriented object detection with integrated network slimming and knowledge distillation] 通过BNSF方法剪枝网络,但将微调与知识蒸馏相结合以节省训练时间,同时保持准确性。 [An improved yolov5 real-time detection method for aircraft target detection] 中的作者用MobileNetV3替换了CSPDarknet...
[ A lightweight algorithm based on yolov5 for relative position detection of hydraulic support at coal mining faces] 的工作通过使用PReLU激活函数和使用Ghost Bottleneck而不是BottleNeckCSP来修改YOLOv5结构。然后,根据BNSF方法(见第2.1.3节),它剪枝除Ghost Bottleneck以外的通道。
YOLOv5 in DOTA with CSL_label.(Oriented Object Detection)(Rotation Detection)(Rotated BBox)基于YOLOv5的旋转目标检测 - wilbur-caper/YOLOv5_DOTA_OBB
Image of pills in bounding boxes beside image of pills in oriented bounding boxes How To Use Oriented Object Detection with YOLOv5 In this tutorial, we’ll go over how to use YOLOv5-obb by exporting an already annotated dataset from Roboflow. Label and Annotate Data with Roboflow for free...
Yolov5 for Oriented Object Detection The code for the implementation of “Yolov5 + Circular Smooth Label”. Results and Models The results on DOTA_subsize1024_gap200_rate1.0 test-dev set are shown in the table below. (password: yolo) Model(download link)Size(pixels)TTA(multi-scale/rotate ...
For the moment, anchor-based detectors achieve high performance. Most anchor-based detectors densely preset anchors at each location of the feature map with three different scales. Particularly, additional anchors are set according to different angle intervals for oriented arbitrary objects with ...