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Found 5 papers, 1 papers with code
On the Semantic Latent Space of Diffusion-Based Text-to-Speech Models
The incorporation of Denoising Diffusion Models (DDMs) in the Text-to-Speech (TTS) domain is rising, providing great value in synthesizing high quality speech.
Weakly-Supervised Surgical Phase Recognition
A key element of computer-assisted surgery systems is phase recognition of surgical videos.
Self-Supervised Learning for Endoscopic Video Analysis
To fully exploit the power of SSL, we create sizable unlabeled endoscopic video datasets for training MSNs.
Ranked #2 on
Surgical phase recognition
on Cholec80
SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification
Generating training examples for supervised tasks is a long sought after goal in AI.
Detecting Deficient Coverage in Colonoscopies
Our coverage algorithm is the first such algorithm to be evaluated in a large-scale way; while our depth estimation technique is the first calibration-free unsupervised method applied to colonoscopies.
