IEEE

Vector Quantization Based Query-Efficient Attack via Direct Preference Optimization

Abstract: This work studies black-box adversarial attacks against deep neural networks, where the attacker only has access to the query feedback from the target model. The current state-of-the-art ...
IEEE

A Decoupled Few-Shot Defect Detection Approach via Vector Quantization Feature Aggregation

Abstract: In recent years, few-shot detection has become a popular research direction in the field of industrial defect detection, which aims to perform defect detection tasks accurately using a ...
GitHub

Vector Search using Embeddings, FAISS and Product Quantization

This project implements an efficient similarity search system for lecture content using embeddings, FAISS and Product Quantization with custom index & KMeans implementations. It allows you to find ...
GitHub

motokimura/timm_quantization_fx

Sensitivity analysis (and partial quantization) example is also provided. The figure below shows per-layer sensitivity analysis result of efficientnet_lite0 model. Only the static post-training ...