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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 36 / No. 2: AAAI-22 Technical Tracks 2

Learning from the Target: Dual Prototype Network for Few Shot Semantic Segmentation

February 1, 2023

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Authors

Binjie Mao

National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences School of Artificial Intelligence, University of Chinese Academy of Sciences.


Xinbang Zhang

National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences School of Artificial Intelligence, University of Chinese Academy of Sciences.


Lingfeng Wang

National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences


Qian Zhang

Horizon Robotics


Shiming Xiang

National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences School of Artificial Intelligence, University of Chinese Academy of Sciences.


Chunhong Pan

National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences


DOI:

10.1609/aaai.v36i2.20090


Abstract:

Due to the scarcity of annotated samples, the diversity between support set and query set becomes the main obstacle for few shot semantic segmentation. Most existing prototype-based approaches only exploit the prototype from the support feature and ignore the information from the query sample, failing to remove this obstacle.In this paper, we proposes a dual prototype network (DPNet) to dispose of few shot semantic segmentation from a new perspective. Along with the prototype extracted from the support set, we propose to build the pseudo-prototype based on foreground features in the query image. To achieve this goal, the cycle comparison module is developed to select reliable foreground features and generate the pseudo-prototype with them. Then, a prototype interaction module is utilized to integrate the information of the prototype and the pseudo-prototype based on their underlying correlation. Finally, a multi-scale fusion module is introduced to capture contextual information during the dense comparison between prototype (pseudo-prototype) and query feature. Extensive experiments conducted on two benchmarks demonstrate that our method exceeds previous state-of-the-arts with a sizable margin, verifying the effectiveness of the proposed method.

Topics: AAAI

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Binjie Mao||Xinbang Zhang||Lingfeng Wang||Qian Zhang||Shiming Xiang||Chunhong Pan Learning from the Target: Dual Prototype Network for Few Shot Semantic Segmentation Proceedings of the AAAI Conference on Artificial Intelligence (2022) 1953-1961.

Binjie Mao||Xinbang Zhang||Lingfeng Wang||Qian Zhang||Shiming Xiang||Chunhong Pan Learning from the Target: Dual Prototype Network for Few Shot Semantic Segmentation AAAI 2022, 1953-1961.

Binjie Mao||Xinbang Zhang||Lingfeng Wang||Qian Zhang||Shiming Xiang||Chunhong Pan (2022). Learning from the Target: Dual Prototype Network for Few Shot Semantic Segmentation. Proceedings of the AAAI Conference on Artificial Intelligence, 1953-1961.

Binjie Mao||Xinbang Zhang||Lingfeng Wang||Qian Zhang||Shiming Xiang||Chunhong Pan. Learning from the Target: Dual Prototype Network for Few Shot Semantic Segmentation. Proceedings of the AAAI Conference on Artificial Intelligence 2022 p.1953-1961.

Binjie Mao||Xinbang Zhang||Lingfeng Wang||Qian Zhang||Shiming Xiang||Chunhong Pan. 2022. Learning from the Target: Dual Prototype Network for Few Shot Semantic Segmentation. "Proceedings of the AAAI Conference on Artificial Intelligence". 1953-1961.

Binjie Mao||Xinbang Zhang||Lingfeng Wang||Qian Zhang||Shiming Xiang||Chunhong Pan. (2022) "Learning from the Target: Dual Prototype Network for Few Shot Semantic Segmentation", Proceedings of the AAAI Conference on Artificial Intelligence, p.1953-1961

Binjie Mao||Xinbang Zhang||Lingfeng Wang||Qian Zhang||Shiming Xiang||Chunhong Pan, "Learning from the Target: Dual Prototype Network for Few Shot Semantic Segmentation", AAAI, p.1953-1961, 2022.

Binjie Mao||Xinbang Zhang||Lingfeng Wang||Qian Zhang||Shiming Xiang||Chunhong Pan. "Learning from the Target: Dual Prototype Network for Few Shot Semantic Segmentation". Proceedings of the AAAI Conference on Artificial Intelligence, 2022, p.1953-1961.

Binjie Mao||Xinbang Zhang||Lingfeng Wang||Qian Zhang||Shiming Xiang||Chunhong Pan. "Learning from the Target: Dual Prototype Network for Few Shot Semantic Segmentation". Proceedings of the AAAI Conference on Artificial Intelligence, (2022): 1953-1961.

Binjie Mao||Xinbang Zhang||Lingfeng Wang||Qian Zhang||Shiming Xiang||Chunhong Pan. Learning from the Target: Dual Prototype Network for Few Shot Semantic Segmentation. AAAI[Internet]. 2022[cited 2023]; 1953-1961.


ISSN: 2374-3468


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