Mosaic represents a new data augmentation method that mixes 4 training images. Thus 4 different contexts are mixed, while CutMix mixes only 2 input images. This allows detection of objects outside their normal context. In addition, batch normalization calculates activation statistics from 4 different ...
and then on the accuracy of the detector on MS COCO (test-dev 2017) dataset.我们在ImageNet (ILSVRC 2012 val)数据集上测试了不同的训练改进技术对分类器精度的影响,然后在MS COCO (test-dev 2017)数据集上测试了检测器的精度。
Table 9: Comparison of the speed and accuracy of different object detectors on the MS COCO dataset (test-dev 2017). (Real-time detectors with FPS 30 or higher are highlighted here. We compare the results with batch=1 without using tensorRT.) Table 10: Comparison of the speed and accuracy ...
and then on the accuracy of the detector on MS COCO (test-dev 2017) dataset.我们在ImageNet (ILSVRC 2012 val)数据集上测试了不同的训练改进技术对分类器精度的影响,然后在MS COCO (test-dev 2017)数据集上测试了检测器的精度。
但 example mining method 不适用 于一阶段的目标检测器,因为这种检测器属于密集预测架构。因此, Linet al.[45]提出了 focal loss 解决数据不平衡问题。另一个很重要的 问题是,one-hot 编码很难表达出类与类之间关联程度。这种表示方 法(one-hot)通常在打标签的时候使用。在[73]中提出的 label smoothing ...
photometric distortions and geometric distortions are two commonly used data augmentation method and they definitely benefit the object detection task. In dealing with photometric distortion, we adjust the brightness, contrast, hue, saturation, and noise of an image. For geometric distortion, we add ra...
题目:Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions 名称:用于恶劣天气条件下目标检测的图像自适应 YOLO 论文:arxiv.org/abs/2112.0808 题目:YOLO in the Dark - Domain Adaptation Method for Merging Multiple Models 名称:用于合并多个模型的YOLO暗域自适应方法 论文:ecva.net/papers/eccv...
For those plugin modules and post-processing methods that only increase the inference cost by a small amount but can significantly improve the accuracy of object detection, we call them “bag of specials”. 主要作用是增强模型某一方面的属性,如增大感受野( receptive field),引入attention机制,增强特征整...
Paper:《YOLOv4: Optimal Speed and Accuracy of Object Detection》的翻译与解读 YOLOv4的评价 1、四个改进和一个创新 这篇文章主要有四个改进+一个创新,但组合了大约20项近几年来各种深度学习和目标检测领域的tricks。可以说,这篇论文有创新和改进,但多数是微小的改进。然而这篇文章对比了大量的、近几年新出来...
Therefore, the high-precision detection method of multi-scale objects in aerial remote sensing images has high research value. On the research of the object detection, the high-precision detection of multi-scale objects in aerial remote sensing images remains a formidable challenge. First, the ...