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Found 5 papers, 3 papers with code
PnP-Flow: Plug-and-Play Image Restoration with Flow Matching
While they achieve state-of-the-art performance on various inverse problems in imaging, PnP approaches face inherent limitations on more generative tasks like inpainting.
Transductive Zero-Shot and Few-Shot CLIP
Transductive inference has been widely investigated in few-shot image classification but completely overlooked in the recent fast growing literature on adapting vision-langage models like CLIP.
A Novel Variational Approach for Multiphoton Microscopy Image Restoration: from PSF Estimation to 3D Deconvolution
This makes the restoration of MPM images challenging.
A transductive few-shot learning approach for classification of digital histopathological slides from liver cancer
This paper presents a new approach for classifying 2D histopathology patches using few-shot learning.
Towards Practical Few-Shot Query Sets: Transductive Minimum Description Length Inference
We relax these assumptions and extend current benchmarks, so that the query-set classes of a given task are unknown, but just belong to a much larger set of possible classes.
