Apr 3, 2023 · To circumvent the impossibility of the knowledge of label names, we propose AutoLabel that automatically discovers and generates object-centric ...

In this work we presented AutoLabel, a CLIP-based automatic labelling framework for addressing the open- set unsupervised video domain adaptation. Our ...

This repository contains the official code for the paper AutoLabel: CLIP-based framework for Open-set Video Domain Adaptation (CVPR 2023), by Giacomo Zara, ...

To circumvent the impossibility of the knowledge of label names, we propose AutoLabel that automatically discovers and generates object-centric compositional ...

In this work we presented AutoLabel, a CLIP-based automatic labelling framework for addressing the open- set unsupervised video domain adaptation. Our ...

This work proposes AutoLabel that automatically discovers and generates object-centric compositional candidate target-private class names and shows that ...

Apr 3, 2023 · In this work we deviate from the prior work of training a specialized open-set classifier or weighted adversarial learning by proposing to use ...

Consequently, a promising avenue of research involves enhancing the generalization of foundation models for downstream tasks in the presence of domain shifts. .

In this work we deviate from the prior work of training a specialized open-set classifier or weighted adversarial learning by proposing to use pre-trained ...

AutoLabel is a new method that helps machines recognize actions in videos better by automatically figuring out new action names. It uses a powerful model ...