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PIRL

2000년 도입 · 논문 8편에서 사용

Pretext-Invariant Representation Learning (PIRL, pronounced as “pearl”) learns invariant representations based on pretext tasks. PIRL is used with a commonly used pretext task that involves solving jigsaw puzzles. Specifically, PIRL constructs image representations that are similar to the representation of transformed versions of the same image and different from the representations of other images.

출처: Self-Supervised Learning of Pretext-Invariant Representations

소개 논문: Self-Supervised Learning of Pretext-Invariant Representations

Self-Supervised Learning · General