SwiftNet: Real-time Video Object Segmentation

9 Feb 2021 Haochen Wang XiaoLong Jiang Haibing Ren Yao Hu Song Bai

In this work we present SwiftNet for real-time semi-supervised video object segmentation (one-shot VOS), which reports 77.8% J&F and 70 FPS on DAVIS 2017 validation dataset, leading all present solutions in overall accuracy and speed performance. We achieve this by elaborately compressing spatiotemporal redundancy in matching-based VOS via Pixel-Adaptive Memory (PAM)... (read more)

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