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arXiv · 2303.14087

OPDMulti: Openable Part Detection for Multiple Objects

Xiaohao Sun·Hanxiao Jiang·Manolis Savva·Angel Xuan Chang
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Abstract

Openable part detection is the task of detecting the openable parts of an object in a single-view image, and predicting corresponding motion parameters. Prior work investigated the unrealistic setting where all input images only contain a single openable object. We generalize this task to scenes with multiple objects each potentially possessing openable parts, and create a corresponding dataset based on real-world scenes. We then address this more challenging scenario with OPDFormer: a part-aware transformer architecture. Our experiments show that the OPDFormer architecture significantly outperforms prior work. The more realistic multiple-object scenarios we investigated remain challenging for all methods, indicating opportunities for future work.

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Xiaohao Sun, Hanxiao Jiang, Manolis Savva, Angel Xuan Chang. 2023-03-24. OPDMulti: Openable Part Detection for Multiple Objects. https://arxiv.org/abs/2303.14087

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