Inkawhich, M.[Matthew]
* 2022: Untapped Potential of Off-the-Shelf Convolutional Neural Networks, The
* 2024: Tunable Hybrid Proposal Networks for the Open World
Inkawhich, N.[Nathan]
* 2019: Feature Space Perturbations Yield More Transferable Adversarial Examples
* 2021: Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap?
* 2021: NTIRE 2021 Multi-modal Aerial View Object Classification Challenge
* 2022: Multi-modal Aerial View Object Classification Challenge Results: PBVS 2022
* 2022: Untapped Potential of Off-the-Shelf Convolutional Neural Networks, The
* 2023: Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-grained Environments
* 2023: Multi-modal Aerial View Image Challenge: Translation from Synthetic Aperture Radar to Electro-Optical Domain Results - PBVS 2023
* 2023: Multi-modal Aerial View Object Classification Challenge Results - PBVS 2023
* 2024: Tunable Hybrid Proposal Networks for the Open World
9 for Inkawhich, N.
Inkaya, T.[Tulin]
* 2015: adaptive neighbourhood construction algorithm based on density and connectivity, An
Includes: Inkaya, T.[Tulin] Inkaya, T.[Tülin]