Improve object segmentation in video using object-agnostic information with DeAOT

Improve object segmentation in video using object-agnostic information with DeAOT

Decoupling Features in Hierarchical Propagation for Video Object Segmentation

arXiv paper abstract https://arxiv.org/abs/2210.09782v2

arXiv PDF paper https://arxiv.org/pdf/2210.09782v2.pdf

This paper focuses on developing a more effective method of hierarchical propagation for semi-supervised Video Object Segmentation (VOS).

... recently-developed Associating Objects with Transformers (AOT) ... hierarchical propagation ... will inevitably lead to the loss of object-agnostic visual information in deep propagation layers.

... paper proposes a Decoupling Features in Hierarchical Propagation (DeAOT) approach.

Firstly, DeAOT decouples the hierarchical propagation of object-agnostic and object-specific embeddings by handling them in two independent branches.

Secondly, to compensate for the additional computation from dual-branch propagation, ... propose an efficient module for constructing hierarchical propagation

... achieve new state-of-the-art performance on four benchmarks, i.e., YouTube-VOS (86.2%), DAVIS 2017 (86.2%), DAVIS 2016 (92.9%), and VOT 2020 (0.622) ...

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