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Found 4 papers, 2 papers with code
TSRNet: Simple Framework for Real-time ECG Anomaly Detection with Multimodal Time and Spectrogram Restoration Network
As a result, we introduce a specialized network called the Multimodal Time and Spectrogram Restoration Network (TSRNet) designed specifically for detecting anomalies in ECG signals.
ZEETAD: Adapting Pretrained Vision-Language Model for Zero-Shot End-to-End Temporal Action Detection
Temporal action detection (TAD) involves the localization and classification of action instances within untrimmed videos.
Z-GMOT: Zero-shot Generic Multiple Object Tracking
Our contributions are benchmarked through extensive experiments conducted on the Referring GMOT dataset for GMOT task.
Multimodality Multi-Lead ECG Arrhythmia Classification using Self-Supervised Learning
Electrocardiogram (ECG) signal is one of the most effective sources of information mainly employed for the diagnosis and prediction of cardiovascular diseases (CVDs) connected with the abnormalities in heart rhythm.
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