A new multi-dataset benchmark for semi-supervised ECG delineation reports that vision transformer backbones generally benefit more from semi-supervised training than a ResNet backbone.
An image is worth 16x16 words: Transformers for image recognition at scale
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
method 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
method 1polarities
use method 1representative citing papers
citing papers explorer
-
SemiSegECG: A Multi-Dataset Benchmark for Semi-Supervised Semantic Segmentation in ECG Delineation
A new multi-dataset benchmark for semi-supervised ECG delineation reports that vision transformer backbones generally benefit more from semi-supervised training than a ResNet backbone.