Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More-Reference-Cited by-同舟云学术

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Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More

Published:2019-06 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Ye Jingwen,Ji Yixin,Wang Xinchao,Ou Kairi,Tao Dapeng,Song Mingli

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8938205/8953184/08953334.pdf?arnumber=8953334

Cited by 45 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

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2. Amalgamating Knowledge for Comprehensive Classification with Uncertainty Suppression;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19

3. Boosting fine-tuning via Conditional Online Knowledge Transfer;Neural Networks;2024-01

4. Cross-Factory Polarizer Sheet Surface Defect Inspection System Based on Multiteacher Knowledge Amalgamation;IEEE Transactions on Instrumentation and Measurement;2024

5. Attribution Guided Layerwise Knowledge Amalgamation from Graph Neural Networks;Neural Information Processing;2023-11-14

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