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46 种方法属于此方法族。

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背景减除Background subtraction is a video processing technique that separates moving foreground objects from a static or slowly changing background by comparing each frame to a learned or 斑点检测Blob detection is a technique for identifying regions of interest (blobs)—connected, homogeneous areas that differ from their surroundings—at multiple scales. Introduced by LindebeCanny边缘检测The Canny edge detector, introduced by John Canny in 1986, is a multi-stage algorithm for identifying edges in digital images where significant intensity changes occur. Canny's met卷积神经网络图像分类CNN image classification uses deep convolutional architectures such as ResNet (He et al., 2016), VGG and EfficientNet (Tan & Le, 2019) to sort images into categories. Stacked convo轮廓分析Contour analysis is the process of detecting and analyzing the boundaries of objects in images by identifying connected edges and extracting shape information. The Suzuki-Abe algorDETR（检测变换器）DETR (Detection Transformer) is an end-to-end framework for object detection introduced by Carion et al. in 2020 that reformulates detection as a direct set prediction problem usin

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本主题被引用最多的基础方法，按其提出的先后顺序排列——若您初次接触，不妨从这里开始。

  1. 图像形态学操作1982作者：Jean Serra
  2. 轮廓分析1985作者：Satoshi Suzuki and Keiichi Abe
  3. Harris Corner Detection1988作者：Chris Harris and Mike Stephens
  4. 斑点检测1998作者：Tony Lindeberg
  5. 迁移学习在图像分类中的应用2010–2012作者：Pan, S. J. & Yang, Q. (transfer learning framework); Krizhevsky, Sutskever & Hinton (deep CNN backbone)
  6. 图像分类2012 (deep CNN era); conceptual roots 1989 (LeCun)作者：Krizhevsky, A.; Sutskever, I.; Hinton, G. E.
  7. 目标检测2014–2016作者：Girshick, R. et al. (R-CNN); Redmon, J. et al. (YOLO)
  8. 语义分割2015作者：Long, J., Shelhamer, E., & Darrell, T.
本栏架上的全部方法 ↓

全部方法 46

背景减除斑点检测Canny边缘检测卷积神经网络图像分类轮廓分析DETR（检测变换器）域自适应图像分类可解释图像分类可解释目标检测可解释的语义分割少样本目标检测微调图像分类微调语义分割全卷积网络（FCN）Harris Corner Detection直方图均衡化霍夫变换图像分类图像形态学操作Lucas-Kanade 光流法Mask R-CNN：具有像素级掩码的实例分割多语言图像分类多语言语义分割多模态图像分类多模态目标检测多模态语义分割目标检测ORB特征描述符基于像素的图像分类尺度空间理论自监督图像分类自监督目标检测自监督语义分割语义分割半监督图像分类半监督目标检测半监督语义分割SIFT 特征检测立体匹配迁移学习在图像分类中的应用基于对象检测的迁移学习分水岭分割弱监督图像分类弱监督目标检测弱监督语义分割YOLO（You Only Look Once）