most citedFPTQ: Fine-grained Post-Training Quantization for Large Language Models

3 citations · 7 across the 7 of their papers we have counts for

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cs.CV2022

Uncertainty Guided Depth Fusion for Spike Camera

Jianing Li, Jiaming Liu, Xiaobao Wei +6

Depth estimation is essential for various important real-world applications such as autonomous driving. However, it suffers from severe performance degradation in high-velocity sce…

cs.CV2022★ 3 cited

Binary Neural Networks as a general-propose compute paradigm for on-device computer vision

Guhong Nie, Lirui Xiao, Menglong Zhu +6

For binary neural networks (BNNs) to become the mainstream on-device computer vision algorithm, they must achieve a superior speed-vs-accuracy tradeoff than 8-bit quantization and…