[BMVC 2022 - Spotlight] DA-CIL: Towards Domain Adaptive Class-Incremental 3D Object Detection

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Spotlight slide presented at the 33rd British Machine Vision Conference (BMVC), 2022, London, UK.

DA-CIL: Towards Domain Adaptive Class-Incremental 3D Object Detection
Ziyuan Zhao, Mingxi Xu, Peisheng Qian, Ramanpreet Singh Pahwa, Richard Chang
I2R, A*STAR, Singapore AI3, A*STAR, Singapore NTU, Singapore
Our Scenario: In this paper, we identify the unexplored yet
valuable scenario, class-incremental learning under domain
shift.
DA-CIL Framework with Multi-level Consistency
Dual-Domain Copy-Paste
To relieve data scarcity and reduce the domain gap at the data
level, we extensively leverage copy-paste augmentation
techniques for creating cross-domain and in-domain point
clouds.
Results and Visualization
4% performance improvement compared to SDCOT (a strong
baseline for class-incremental learning) in all classes.
Paper ID: 916

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[BMVC 2022 - Spotlight] DA-CIL: Towards Domain Adaptive Class-Incremental 3D Object Detection

1. DA-CIL: Towards Domain Adaptive Class-Incremental 3D Object Detection Ziyuan Zhao, Mingxi Xu, Peisheng Qian, Ramanpreet Singh Pahwa, Richard Chang I2R, A*STAR, Singapore AI3, A*STAR, Singapore NTU, Singapore Our Scenario: In this paper, we identify the unexplored yet valuable scenario, class-incremental learning under domain shift. DA-CIL Framework with Multi-level Consistency Dual-Domain Copy-Paste To relieve data scarcity and reduce the domain gap at the data level, we extensively leverage copy-paste augmentation techniques for creating cross-domain and in-domain point clouds. Results and Visualization 4% performance improvement compared to SDCOT (a strong baseline for class-incremental learning) in all classes. Paper ID: 916

[BMVC 2022 - Spotlight] DA-CIL: Towards Domain Adaptive Class-Incremental 3D Object Detection

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[BMVC 2022 - Spotlight] DA-CIL: Towards Domain Adaptive Class-Incremental 3D Object Detection