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Rapid-INR: Storage Efficient CPU-free DNN Training Using Implicit Neural Representation
April 25, 2024, 7:43 p.m. | Hanqiu Chen, Hang Yang, Stephen Fitzmeyer, Cong Hao
cs.LG updates on arXiv.org arxiv.org
Abstract: Implicit Neural Representation (INR) is an innovative approach for representing complex shapes or objects without explicitly defining their geometry or surface structure. Instead, INR represents objects as continuous functions. Previous research has demonstrated the effectiveness of using neural networks as INR for image compression, showcasing comparable performance to traditional methods such as JPEG. However, INR holds potential for various applications beyond image compression. This paper introduces Rapid-INR, a novel approach that utilizes INR for encoding …
arxiv cpu cs.ai cs.ar cs.cv cs.lg dnn free representation storage training type
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