CA-DSSL enables effective self-supervised pretraining for 396K-parameter MCU backbones, reaching 62.7% linear-probe accuracy on CIFAR-100 and 94% of supervised performance while fitting in 378 KB INT8.
IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=
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TinySSL: Distilled Self-Supervised Pretraining for Sub-Megabyte MCU Models
CA-DSSL enables effective self-supervised pretraining for 396K-parameter MCU backbones, reaching 62.7% linear-probe accuracy on CIFAR-100 and 94% of supervised performance while fitting in 378 KB INT8.
- Covariance Structure and Coordinate Heterogeneity Govern Binary Quantization of Contrastive Embeddings