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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 36 / No. 3: AAAI-22 Technical Tracks 3

FFNet: Frequency Fusion Network for Semantic Scene Completion

February 1, 2023

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Authors

Xuzhi Wang

College of Intelligence and Computing, Tianjin University


Di Lin

College of Intelligence and Computing, Tianjin University


Liang Wan

College of Intelligence and Computing, Tianjin University


DOI:

10.1609/aaai.v36i3.20156


Abstract:

Semantic scene completion (SSC) requires the estimation of the 3D geometric occupancies of objects in the scene, along with the object categories. Currently, many methods employ RGB-D images to capture the geometric and semantic information of objects. These methods use simple but popular spatial- and channel-wise operations, which fuse the information of RGB and depth data. Yet, they ignore the large discrepancy of RGB-D data and the uncertainty measurements of depth data. To solve this problem, we propose the Frequency Fusion Network (FFNet), a novel method for boosting semantic scene completion by better utilizing RGB-D data. FFNet explicitly correlates the RGB-D data in the frequency domain, different from the features directly extracted by the convolution operation. Then, the network uses the correlated information to guide the feature learning from the RG- B and depth images, respectively. Moreover, FFNet accounts for the properties of different frequency components of RGB- D features. It has a learnable elliptical mask to decompose the features learned from the RGB and depth images, attending to various frequencies to facilitate the correlation process of RGB-D data. We evaluate FFNet intensively on the public SSC benchmarks, where FFNet surpasses the state-of- the-art methods. The code package of FFNet is available at https://github.com/alanWXZ/FFNet.

Topics: AAAI

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HOW TO CITE:

Xuzhi Wang||Di Lin||Liang Wan FFNet: Frequency Fusion Network for Semantic Scene Completion Proceedings of the AAAI Conference on Artificial Intelligence (2022) 2550-2557.

Xuzhi Wang||Di Lin||Liang Wan FFNet: Frequency Fusion Network for Semantic Scene Completion AAAI 2022, 2550-2557.

Xuzhi Wang||Di Lin||Liang Wan (2022). FFNet: Frequency Fusion Network for Semantic Scene Completion. Proceedings of the AAAI Conference on Artificial Intelligence, 2550-2557.

Xuzhi Wang||Di Lin||Liang Wan. FFNet: Frequency Fusion Network for Semantic Scene Completion. Proceedings of the AAAI Conference on Artificial Intelligence 2022 p.2550-2557.

Xuzhi Wang||Di Lin||Liang Wan. 2022. FFNet: Frequency Fusion Network for Semantic Scene Completion. "Proceedings of the AAAI Conference on Artificial Intelligence". 2550-2557.

Xuzhi Wang||Di Lin||Liang Wan. (2022) "FFNet: Frequency Fusion Network for Semantic Scene Completion", Proceedings of the AAAI Conference on Artificial Intelligence, p.2550-2557

Xuzhi Wang||Di Lin||Liang Wan, "FFNet: Frequency Fusion Network for Semantic Scene Completion", AAAI, p.2550-2557, 2022.

Xuzhi Wang||Di Lin||Liang Wan. "FFNet: Frequency Fusion Network for Semantic Scene Completion". Proceedings of the AAAI Conference on Artificial Intelligence, 2022, p.2550-2557.

Xuzhi Wang||Di Lin||Liang Wan. "FFNet: Frequency Fusion Network for Semantic Scene Completion". Proceedings of the AAAI Conference on Artificial Intelligence, (2022): 2550-2557.

Xuzhi Wang||Di Lin||Liang Wan. FFNet: Frequency Fusion Network for Semantic Scene Completion. AAAI[Internet]. 2022[cited 2023]; 2550-2557.


ISSN: 2374-3468


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