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cs.CV2026
Mind the Approximation: Fisher-Weighted SVD Compression for ViTs
Moritz Thoma, Maximilian Groezinger, Maximilian Forstenhäusler +7
Model compression is key to mitigate deployment challenges of ever growing machine learning models. In this area of research, singular value decomposition (SVD)-based compression o…
cs.CV2025
Hybrid Convolution and Vision Transformer NAS Search Space for TinyML Image Classification
Mikhael Djajapermana, Moritz Reiber, Daniel Mueller-Gritschneder +1
Hybrids of Convolutional Neural Network (CNN) and Vision Transformer (ViT) have outperformed pure CNN or ViT architecture. However, since these architectures require large paramete…