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Found 4 papers, 2 papers with code
Domain Aligned CLIP for Few-shot Classification
Large vision-language representation learning models like CLIP have demonstrated impressive performance for zero-shot transfer to downstream tasks while largely benefiting from inter-modal (image-text) alignment via contrastive objectives.
Deep Video Deblurring: The Devil is in the Details
In contrast to these involved models, we found that a simple baseline CNN can perform astonishingly well when particular care is taken w. r. t.
Lightweight Probabilistic Deep Networks
Even though probabilistic treatments of neural networks have a long history, they have not found widespread use in practice.
Parametric Object Motion from Blur
A two-stage pipeline, first in derivative space and then in image space, allows to estimate both parametric object motion as well as a motion segmentation from a single image alone.
