SimonVandenhende/Awesome-Multi-Task-Learning
A list of multi-task learning papers and projects.
This resource curates research papers and projects focused on multi-task learning in computer vision. It provides an organized list of academic work, including survey papers, datasets used, and different neural network architectures (like encoder-based and decoder-based) for practitioners. Researchers and engineers working in computer vision will find this useful for exploring techniques where a single model learns to perform multiple related visual tasks simultaneously.
384 stars. No commits in the last 6 months.
Use this if you are a computer vision researcher or practitioner looking for a curated collection of academic papers and project implementations on multi-task learning.
Not ideal if you are looking for an off-the-shelf software tool or a step-by-step tutorial for building a multi-task learning system from scratch.
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Jan 31, 2022
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