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Found 3 papers, 2 papers with code
InvKA: Gait Recognition via Invertible Koopman Autoencoder
Most current gait recognition methods suffer from poor interpretability and high computational cost.
Boosting Adversarial Transferability via Gradient Relevance Attack
Plentiful adversarial attack researches have revealed the fragility of deep neural networks (DNNs), where the imperceptible perturbations can cause drastic changes in the output.
Few-shot Fine-grained Image Classification via Multi-Frequency Neighborhood and Double-cross Modulation
The comprehensive experiments on three fine-grained benchmark datasets for two few-shot tasks verify that FicNet has excellent performance compared to the state-of-the-art methods.
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