Survey of open vocabulary learning to recognize categories beyond the label space
Survey of open vocabulary learning to recognize categories beyond the label space
Towards Open Vocabulary Learning: A Survey
arXiv paper abstract https://arxiv.org/abs/2306.15880
arXiv PDF paper https://arxiv.org/pdf/2306.15880.pdf
GitHub https://github.com/jianzongwu/Awesome-Open-Vocabulary
In the field of visual scene understanding, deep neural networks have made impressive advancements in various core tasks like segmentation, tracking, and detection.
However, most approaches operate on the close-set assumption, meaning that the model can only identify pre-defined categories that are present in the training set.
… open vocabulary … seek to locate and recognize categories beyond the annotated label space.
… paper provides a thorough review of open vocabulary learning, summarizing and analyzing recent developments in the field.
… begin by comparing it to related concepts such as zero-shot learning, open-set recognition, and out-of-distribution detection.
… compare the recent detection and segmentation approaches in commonly used datasets and benchmarks …
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