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Found 6 papers, 3 papers with code
PI-RADS v2 Compliant Automated Segmentation of Prostate Zones Using co-training Motivated Multi-task Dual-Path CNN
Further, the representations from different branches act complementary to each other at the second stage of training, where they are fine-tuned through an unsupervised loss.
StarGAN-VC++: Towards Emotion Preserving Voice Conversion Using Deep Embeddings
In this paper, we show that StarGANv2-VC fails to disentangle the speaker and emotion representations, pertinent to preserve emotion.
Emo-StarGAN: A Semi-Supervised Any-to-Many Non-Parallel Emotion-Preserving Voice Conversion
Speech anonymisation prevents misuse of spoken data by removing any personal identifier while preserving at least linguistic content.
TorchEsegeta: Framework for Interpretability and Explainability of Image-based Deep Learning Models
Moreover, this research presents a unified framework, TorchEsegeta, for applying various interpretability and explainability techniques for deep learning models and generate visual interpretations and explanations for clinicians to corroborate their clinical findings.
Dynamical Freezing and Scar Points in Strongly Driven Floquet Matter: Resonance vs Emergent Conservation Laws
We consider a clean quantum system subject to strong periodic driving.
Other Condensed Matter Statistical Mechanics Quantum Physics
Quantum Annealing and Analog Quantum Computation
We review here the recent success in quantum annealing, i. e., optimization of the cost or energy functions of complex systems utilizing quantum fluctuations.
Quantum Physics Statistical Mechanics Computational Physics
