计算机视觉：图像分类、物体检测、图像语义分割、实例分割和全景分割

图像分类 Image Classification

The task of object classification requires binary labels indicating whether objects are present in an image.
给定一组各自被标记为单一类别的图像，我们对一组新的测试图像的类别进行预测，并测量预测的准确性结果，这就是图像分类问题。

物体检测 Object Detection/ Object Localization

Detecting an object entails both stating that an object belonging to a specified class is present, and localizing it in the image. The location of an object is typically represented by a bounding box.
物体检测，包含两个问题，一是判断属于某个特定类的物体是否出现在图中；二是对该物体定位，定位常用表征就是物体的边界框，通常是以包围盒的(bounding box)形式。

语义分割 Semantic Segmentation

The task of labeling seman