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Visual Recognition on Stanford-40

Visual Recognition on Stanford-40

97.83Top-1 AccuracyAG-Net

Updated 8mo ago

Evaluation results

Method	Links
AG-Net2021.10		97.83	99.85	96.21

State-of-the-art paper

AG-Net

Attend and Guide (AG-Net): A Keypoints-driven Attention-based Deep Network for Image Recognition

Dataset

Stanford

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Related benchmarks

Image Classification on Caltech-256 (Accuracy)Visual Recognition on Food-101 Action Recognition on Stanford-40 Action Recognition on PPMI-24 Driver Action Recognition on AUC v1 (test)

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