Semantic Video Segmentation by Gated Recurrent Flow Propagation
Semantic Video Segmentation by Gated Recurrent Flow Propagation
Semantic video segmentation is challenging due to the sheer amount of data that needs to be processed and labeled in order to construct accurate models. In this paper we present a deep, end-to-end trainable methodology for video segmentation that is capable of leveraging the information present in unlabeled data, besides …