APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation

Author:

Chen Jiacheng1,Gao Bin-Bin2,Lu Zongqing1,Xue Jing-Hao3,Wang Chengjie2,Liao Qingmin4

Affiliation:

1. Tsinghua Shenzhen International Graduate School, Tsinghua University, 12442 Shenzhen, Guangdong, China

2. Tencent YouTu Lab, Tencent, 508929 Shenzhen, Guangdong, China

3. Department of Statistical Science, University College London, London, United Kingdom of Great Britain and Northern Ireland, WC1E 6BT

4. Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong, China

Funder

Tencent

The Special Foundation for the Development of Strategic Emerging Industries of Shenzhen

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Psanet: prototype-guided salient attention for few-shot segmentation;The Visual Computer;2024-08-01

2. DRNet: Disentanglement and Recombination Network for Few-Shot Semantic Segmentation;IEEE Transactions on Circuits and Systems for Video Technology;2024-07

3. MetaMask: Improving Few-Shot Semantic Segmentation via Multi-Mask Calibriation;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

4. SGT: Self-Guided Transformer for Few-Shot Semantic Segmentation;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

5. Dual-Guided Frequency Prototype Network for Few-Shot Semantic Segmentation;IEEE Transactions on Multimedia;2024

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