Jigsaw is a self-supervision approach that relies on jigsaw-like puzzles as the pretext task in order to learn image representations.
Source: Unsupervised Learning of Visual Representations by Solving Jigsaw PuzzlesPaper | Code | Results | Date | Stars |
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Task | Papers | Share |
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Self-Supervised Learning | 30 | 13.70% |
Image Classification | 11 | 5.02% |
Classification | 10 | 4.57% |
Semantic Segmentation | 8 | 3.65% |
General Classification | 8 | 3.65% |
Anomaly Detection | 6 | 2.74% |
Object Detection | 6 | 2.74% |
Domain Generalization | 5 | 2.28% |
Language Modelling | 4 | 1.83% |
Component | Type |
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🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |