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This repository is the code base for the project titled Latent Embedding Optimization for Few-shot Segmentation.

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Temiloluwa/leo_segmentation

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Latent Embedding Optimization for Few-shot Segmentation

In this project, Meta-Learning is deployed to solve the Few-shot Segmentation problem. Inspired by the paper "Meta-Learning with Latent Embedding Optimization" by Rusu et. al., the goal is to translate the successes of Optimization-based Meta-Learning for the Few-shot Classification problem to Segmentation.

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The project is undertaken by Temiloluwa Adeoti, Gopika Sudhakaran, Istiaque Mannafee, Jennifer Deborah

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This repository is the code base for the project titled Latent Embedding Optimization for Few-shot Segmentation.

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