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cs.CV2024
Foundation Models for Amodal Video Instance Segmentation in Automated Driving
Jasmin Breitenstein, Franz Jünger, Andreas Bär +1
In this work, we study amodal video instance segmentation for automated driving. Previous works perform amodal video instance segmentation relying on methods trained on entirely la…
cs.CV2024
Frozen Feature Augmentation for Few-Shot Image Classification
Andreas Bär, Neil Houlsby, Mostafa Dehghani +1
Training a linear classifier or lightweight model on top of pretrained vision model outputs, so-called 'frozen features', leads to impressive performance on a number of downstream…