TransKD: Transformer Knowledge Distillation for Efficient Semantic Segmentation

Ruiping Liu; Kailun Yang; Alina Roitberg; Jiaming Zhang; Kunyu Peng; Huayao Liu; Yaonan Wang; Rainer Stiefelhagen

doi:10.1109/tits.2024.3455416

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JOURNAL ARTICLE

TransKD: Transformer Knowledge Distillation for Efficient Semantic Segmentation

Ruiping Liu Kailun Yang Alina Roitberg Jiaming Zhang Kunyu Peng Huayao Liu Yaonan Wang Rainer Stiefelhagen

Year: 2024 Journal: IEEE Transactions on Intelligent Transportation Systems Vol: 25 (12)Pages: 20933-20949 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/tits.2024.3455416

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Keywords:

Transformer Segmentation Distillation Computer science Artificial intelligence Natural language processing Engineering Electrical engineering Chemistry Voltage Chromatography

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Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Robotics and Automated Systems

Physical Sciences → Engineering → Control and Systems Engineering

TransKD: Transformer Knowledge Distillation for Efficient Semantic Segmentation

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