A Generative Appearance Model for End-To-End Video Object Segmentation
A Generative Appearance Model for End-To-End Video Object Segmentation
One of the fundamental challenges in video object segmentation is to find an effective representation of the target and background appearance. The best performing approaches resort to extensive fine-tuning of a convolutional neural network for this purpose. Besides being prohibitively expensive, this strategy cannot be truly trained end-to-end since the …