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Found 7 papers, 4 papers with code
Histopathological Image Analysis with Style-Augmented Feature Domain Mixing for Improved Generalization
Style transfer-based data augmentation is an emerging technique that can be used to improve the generalizability of machine learning models for histopathological images.
Zero-Shot Single Image Restoration Through Controlled Perturbation of Koschmieder's Model
Our zero-shot network estimates the parameters of the Koschmieder's model, which describes the degradation in the input image, to perform image restoration.
Progressive Update Guided Interdependent Networks for Single Image Dehazing
The estimated parameters are then used to guide our dehazing module, where the estimates are progressively updated by novel convolutional networks.
Across-scale Process Similarity based Interpolation for Image Super-Resolution
By `process similarity', we refer to the resemblance between a decomposition of the image at a resolution to the decomposition of the image at another resolution.
Evaluating Salient Object Detection in Natural Images with Multiple Objects having Multi-level Saliency
In this paper, we corroborate based on three subjective experiments on a novel image dataset that objects in natural images are inherently perceived to have varying levels of importance.
Video Skimming: Taxonomy and Comprehensive Survey
Video skimming, also known as dynamic video summarization, generates a temporally abridged version of a given video.
KarNet: An Efficient Boolean Function Simplifier
Many approaches such as Quine-McCluskey algorithm, Karnaugh map solving, Petrick's method and McBoole's method have been devised to simplify Boolean expressions in order to optimize hardware implementation of digital circuits.
