FrequencyFormer co-designs a multi-scale DCT tokenizer, LUT-based near-sensor hardware, and modified MIPI communication to enable frequency-domain ViT inference with up to 128x data reduction and 230x lower communication energy.
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FrequencyFormer: A Co-Designed Sensor-to-Processor Pipeline for Frequency-Domain Vision Transformer Inference
FrequencyFormer co-designs a multi-scale DCT tokenizer, LUT-based near-sensor hardware, and modified MIPI communication to enable frequency-domain ViT inference with up to 128x data reduction and 230x lower communication energy.