2 papers
cs.CV2026
HASTE: A Framework for Training-Free, Dynamic, and Steerable Compression of Pre-Trained Convolutional Neural Networks
Lukas Meiner, Jens Mehnert, Alexandru Paul Condurache
Deploying large convolutional neural networks (CNNs) on resource-constrained devices is challenging due to their high computational cost. While dynamic execution methods are promis…
cs.CV2025
PROM: Prioritize Reduction of Multiplications Over Lower Bit-Widths for Efficient CNNs
Lukas Meiner, Jens Mehnert, Alexandru Paul Condurache
Convolutional neural networks (CNNs) are crucial for computer vision tasks on resource-constrained devices. Quantization effectively compresses these models, reducing storage size…