04 · Research
Self-Supervised Semantic Segmentation
Learning Visual Representations Without Labels
Overview
Designed a self-supervised segmentation pipeline for a single high-resolution image, combining CNN patch representations, spatial coordinates and K-means clustering without pretrained models.
Results
0
Labels used
1
High-res source image
Stack
PyTorchCNNContrastive LearningK-means
Notes
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