Upload checkpoint-399.pth

**Model Checkpoint:** DISCOVR
**Paper:** *Self-Supervised Learning of Echocardiographic Video Representations via Online Cluster Distillation* (NeurIPS 2025)
📄 [https://arxiv.org/pdf/2506.11777](https://arxiv.org/pdf/2506.11777)

This checkpoint corresponds to the **DISCOVR** model trained for **400 epochs** on **adult and pediatric echocardiography datasets**, including **EchoDynamic**, **RVENet**, and **EchoNet-Pediatric LVH**.
DISCOVR learns spatio-temporal cardiac representations through **self-supervised online cluster distillation**, capturing both fine-grained anatomical details and global temporal dynamics.
The model enables robust, label-efficient feature learning across diverse cardiac populations for downstream tasks such as anomaly detection, classification, and segmentation.

checkpoint-399.pth

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