winycg / anchor_net

Localizing Semantic Patches for Accelerating Image Classification

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This model runs on Nvidia T4 GPU hardware. Predictions typically complete within 4 minutes. The predict time for this model varies significantly based on the inputs.

Readme

This project provides source code for the paper “Localizing Semantic Patches for Accelerating Image Classification.”

It introduce a two-step image classification pipeline: Given an image a lightweight CNN proposes k relevant patches then, the each patch is classified by a stronger CNN and the probabilities are gradually aggregated to a final prediciton

@inproceedings{yang2022localizing, title={Localizing Semantic Patches for Accelerating Image Classification}, author={Chuanguang Yang, Zhulin An, Yongjun Xu}, booktitle={IEEE International Conference on Multimedia and Expo}, year={2022} }