Abstract: The calculation of binary iris codes from feature values (e.g., the result of Gabor transform) is a key step in iris recognition systems. Traditional binarization method based on the sign of ...
Abstract: This paper presents BAM-Net, a hardware-efficient binarization algorithm designed for associative memory (AM) implementation. BAM-Net aims to reduce memory overhead, power consumption, and ...
Train the model using Quantization-Aware Training (QAT) with the RaBiT approach. The codebase uses a generic RaBiTModel wrapper that works with any HuggingFace AutoModelForCausalLM architecture — no ...
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