Making a Case for 3D Convolutions for Object Segmentation in Videos
british machine vision conference, 2020.
The task of object segmentation in videos is usually accomplished by processing appearance and motion information separately using standard 2D convolutional networks, followed by a learned fusion of the two sources of information. On the other hand, 3D convolutional networks have been successfully applied for video classification tasks,...More
PPT (Upload PPT)