Proportion of Papers (Quarterly)Fast-YOLOv2ResNetVGGMobileNetV2DenseNetAlexNetJul '18Jan '19Jul '19Jan '20Jul '20Jan '21Jul '21Jan '22Jul '22Jan '23Jul '23Jan '24Jul '24Jan '2500.0010.0020.0030.004 This feature is experimental; we are continuously improving our matching algorithm.Components...
这个思想在YOLO v3中得到了进一步加强,在YOLO v3中采用类似FPN的上采样(upsample)和融合做法(最后融合了3个scale,其他两个scale的大小分别是26*26和52*52),在多个scale的feature map上做检测,对于小目标的检测效果提升还是比较明显的。虽然在YOLO v3中每个网格预测3个边界框,看起来比YOLO v2中每个grid cell预测5...
In this paper, we introduce a convolutional neural network based on the state-of-the-art detector, named YOLOv2, to classify and detect images of fish. Meanwhile, we have adopted the relevant customization techniques to optimize the architecture of model. The Nature Conservancy Fisheries Monitoring...
这个思想在YOLO v3中得到了进一步加强,在YOLO v3中采用类似FPN的上采样(upsample)和融合做法(最后融合了3个scale,其他两个scale的大小分别是26*26和52*52),在多个scale的feature map上做检测,对于小目标的检测效果提升还是比较明显的。虽然在YOLO v3中每个网格预测3个边界框,看起来比YOLO v2中每个grid cell预测5...
The model is based on the YOLOv5 architecture. In the feature extraction step of the method, ShuffleNetv2, which is a lightweight model for a fast detector, is used. The presented model has been examined on the Hard Hat Workers dataset. The architecture provided a recall ...