sbharadwajj/awesome-zero-shot-learning
A curated list of papers, code and resources pertaining to zero shot learning
This resource helps researchers and practitioners in computer vision discover key advancements in zero-shot learning. It compiles research papers, comparative results on standard datasets, and relevant links, particularly focusing on zero-shot object classification. The primary users are AI/ML researchers, computer vision engineers, and students exploring how to classify objects or concepts that an AI model has never explicitly seen during training.
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Use this if you need to quickly find the latest research, benchmark results, and foundational papers related to zero-shot learning techniques for image and object recognition.
Not ideal if you are looking for ready-to-use software libraries or detailed tutorials for implementing zero-shot learning models from scratch without prior research knowledge.
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Jul 28, 2021
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