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Found 5 papers, 1 papers with code
Adversarial Attacks with Time-Scale Representations
Third, we generate new adversarial images by projecting back the original coefficients from the low scale and the perturbed coefficients from the high scale sub-space.
Emergent symbolic language based deep medical image classification
In this work, we demonstrate for the first time, the emer-gence of deep symbolic representations of emergent language in the frame-work of image classification.
Symbolic Semantic Segmentation and Interpretation of COVID-19 Lung Infections in Chest CT volumes based on Emergent Languages
We show state of the art results for segmentation of COVID-19 lung infections in CT.
Towards Emergent Language Symbolic Semantic Segmentation and Model Interpretability
A UNet-like architecture is used to generate input to the Sender network which produces a symbolic sentence, and a Receiver network co-generates the segmentation mask based on the sentence.
ESCELL: Emergent Symbolic Cellular Language
In one form of the game, a sender and a receiver observe a set of cells from 5 different cell phenotypes.
