Whareformer learns feed-forward track assignment over relative appearance and 3D distances with a New Track token, reaching SOTA OSNOM performance across EPIC-KITCHENS, IT3DEgo and HD-EPIC from 56 training videos.
In: International Conference on Learning Representations (ICLR) (2017)
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FedSSG generates and shares synthetic samples within a federated setup to reduce class imbalance and domain shift problems in medical image classification.
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Whareformer: Learning to Track What is Where in Long Egocentric Videos
Whareformer learns feed-forward track assignment over relative appearance and 3D distances with a New Track token, reaching SOTA OSNOM performance across EPIC-KITCHENS, IT3DEgo and HD-EPIC from 56 training videos.
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Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation
FedSSG generates and shares synthetic samples within a federated setup to reduce class imbalance and domain shift problems in medical image classification.