Search Results for author:
Found 3 papers, 0 papers with code
Do Efficient Transformers Really Save Computation?
Our results show that while these models are expressive enough to solve general DP tasks, contrary to expectations, they require a model size that scales with the problem size.
Maskomaly:Zero-Shot Mask Anomaly Segmentation
We present a simple and practical framework for anomaly segmentation called Maskomaly.
Bi-Encoder Cascades for Efficient Image Search
Modern neural encoders offer unprecedented text-image retrieval (TIR) accuracy, but their high computational cost impedes an adoption to large-scale image searches.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
