lightweightSE-YOLOv3Current state-of-the-art detectors achieved impressive performance in detection accuracy with the use of deep learning. However, most of such detectors cannot detect objects in real time due to heavy computational cost, which limits their wide application. Although some one-stage...
To address this problem, a lightweight one-stage approach based on YOLOv3 is proposed in this paper, which is named Squeeze-and-Excitation YOLOv3 (SE-YOLOv3). The proposed algorithm maintains high efficiency and effectiveness simultaneously. With an aim to reduce the number of parameters and ...
yolov3 yolov3 5年前 Introduction Description Requirements Tutorials Jupyter Notebook Training Image Augmentation Speed Inference Pretrained Weights Darknet Conversion mAP Reproduce Our Results Reproduce Our Environment Citation Contact Introduction This directory contains PyTorch YOLOv3 software developed by Ultra...
小白也能用google colab来在线训练yolov3目标检测模型. Contribute to Sejudyblues/colab-yolov3 development by creating an account on GitHub.
本方法首先通过yolov3对高速铁路接触网图像中的绝缘子区域的u型抱箍进行检测定位,然后将定位到的u型抱箍从原图像中扣取出来并缩放为224×224大小;再通过senet对缩放后的u型抱箍图像进行分类识别,获得u型抱箍备母缺失的图像,为增强图像的可视化,采用类激活映射对u型抱箍图像进行缺陷定位。
YOLOv3 with 轻量级主干网(ShuffleNetV2, GhostNet), 注意力机制(SE Block, CBAM Block, ECA Block),和在GhostNet上的剪枝、量化、蒸馏。 - Single430/YOLO-Multi-Backbones-Attention
针对智能水下机器人作业时小目标自主识别的需求,提出基于深度学习的YOLOv3算法,通过对水下机器人实采数据进行神经网络权重训练,实现对水下小目标物快速、精确的识别与分类,从而解决在复杂的水下地形和未知作业环境中对水下目标识别问题。并分... 关键词水
SE-YOLOv3-MobileNetV1 modelDETECTING TOMATOESThe maturity level of tomato is a key factor of tomato picking, which directly determines the transportation distance, storage time, and market freshness of postharvest tomato. In view of the lack of studies on tomato maturity classification under nature ...
本发明公开了一种结合YOLO v3和SENet的高速铁路接触网图像识别方法.通过YOLO v3模型对高速铁路接触网图像中的绝缘子区域的U型抱箍进行检测定位,然后将定位到的U型抱箍从原图像中扣取出来并缩放;再通过SENet模型对缩放后的U型抱箍图像进行分类识别,获得U型抱箍备母缺失的图像,最后采用类激活映射对U型抱箍图像进行缺陷定位...
摘要 本发明公开了一种结合YOLO v3和SENet的高速铁路接触网图像识别方法。通过YOLO v3模型对高速铁路接触网图像中的绝缘子区域的U型抱箍进行检测定位,然后将定位到的U型抱箍从原图像中扣取出来并缩放;再通过SENet模型对缩放后的U型抱箍图像进行分类识别,获得U型抱箍备母缺失的图像,最后采用类激活映射对U型抱箍图像进行缺...