Survey of unknown object detection and segmentation
Survey of unknown object detection and segmentation
A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and Future
arXiv paper abstract https://arxiv.org/abs/2307.09220
arXiv PDF paper https://arxiv.org/pdf/2307.09220.pdf
... Due to the expensive manual labeling ... datasets are often small-scale ... detectors and segmentors fail to generalize ... To resolve ... increasing attention toward Open-Vocabulary Detection (OVD) and Segmentation (OVS).
... provide a comprehensive review on the past and recent development of OVD and OVS.
... find that the permission and usage of weak supervision signals can well discriminate different methodologies, including: visual-semantic space mapping, novel visual feature synthesis, region-aware training, pseudo-labeling, knowledge distillation-based, and transfer learning-based.
The proposed taxonomy is universal across different tasks, covering object detection, semantic/instance/panoptic segmentation, 3D scene and video understanding.
In each category, its main principles, key challenges, development routes, strengths, and weaknesses are thoroughly discussed.
... benchmark each task along with the vital components of each method ...
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