
Tune It or Don't Use It: Benchmarking Data-Efficient Image
Classification
Papers citing "Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification"
11 / 11 papers shown
Title |
|---|
![]() Infinite Class MixupBritish Machine Vision Conference (BMVC), 2023 |
![]() Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient
Image ClassificationIEEE Transactions on Evolutionary Computation (TEVC), 2022 |
![]() Comparing representations of biological data learned with different AI
paradigms, augmenting and cropping strategiesInternational Conference on Medical Imaging with Deep Learning (MIDL), 2022 |
![]() Towards Benchmarking and Evaluating Deepfake DetectionIEEE Transactions on Dependable and Secure Computing (TDSC), 2022 |
![]() ChimeraMix: Image Classification on Small Datasets via Masked Feature
MixingInternational Joint Conference on Artificial Intelligence (IJCAI), 2022 |
![]() Parametric Scattering NetworksComputer Vision and Pattern Recognition (CVPR), 2021 |











