usage: run.py [-h] [--dataset DATASET] [--root ROOT] [--code-length CODE_LENGTH] [--max-iter MAX_ITER] [--topk TOPK] [--gpu GPU] ITQ_PyTorch optional arguments: -h ...
Integrates dynamic codebook frequency statistics into a transformer attention module. Fuses semantic image features with latent representations of quantization ...
Abstract: This article proposes a neural network (NN)-based calibration framework via quantization code reconstruction to address the critical limitation of multidimensional NNs (MDNNs) in ...
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