Target-Aware Object Discovery and Association for Unsupervised Video Multi-Object Segmentation

10 Apr 2021 Tianfei Zhou Jianwu Li Xueyi Li Ling Shao

This paper addresses the task of unsupervised video multi-object segmentation. Current approaches follow a two-stage paradigm: 1) detect object proposals using pre-trained Mask R-CNN, and 2) conduct generic feature matching for temporal association using re-identification techniques... (read more)

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Methods used in the Paper


METHOD TYPE
Softmax
Output Functions
RoIAlign
RoI Feature Extractors
Convolution
Convolutions
Mask R-CNN
Instance Segmentation Models