See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks

CVPR 2019 Xiankai LuWenguan WangChao MaJianbing ShenLing ShaoFatih Porikli

We introduce a novel network, called CO-attention Siamese Network (COSNet), to address the unsupervised video object segmentation task from a holistic view. We emphasize the importance of inherent correlation among video frames and incorporate a global co-attention mechanism to improve further the state-of-the-art deep learning based solutions that primarily focus on learning discriminative foreground representations over appearance and motion in short-term temporal segments... (read more)

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