research
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08/11/2023
DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models
Current deep networks are very data-hungry and benefit from training on ...
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05/18/2023
PTQD: Accurate Post-Training Quantization for Diffusion Models
Diffusion models have recently dominated image synthesis and other relat...
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11/14/2022
BiViT: Extremely Compressed Binary Vision Transformer
Model binarization can significantly compress model size, reduce energy ...
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05/16/2022
Binarizing by Classification: Is soft function really necessary?
Binary neural network leverages the Sign function to binarize real value...
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04/08/2022
