Search Results for author:
Found 3 papers, 0 papers with code
FeTT: Continual Class Incremental Learning via Feature Transformation Tuning
Additionally, the fine-tune-then-frozen mechanism suffers from performance limitations due to feature channels suppression and insufficient training data in the first CL task.
Open-Vocabulary Object Detection via Neighboring Region Attention Alignment
However, we find that the inadequacy of neighboring relationships between regions during the alignment process inevitably constrains the performance on recent distillation-based OVD strategies.
Dynamic Feature Learning and Matching for Class-Incremental Learning
The misalignment between dynamic feature and classifier constrains the capabilities of the model.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
