Add Multilabel Classification Support
See original GitHub issue🚀 Feature
Provide support for multilabel classification, e.g. Vehicle -> Sedan.
Motivation
There are several datasets that provide multiple labels for a class. Also, this appears to have a positive impact on transfer learning, new label introduction.
Pitch
- Provide an option to make use of multilabel categories.
- Pass through the
supercategory
attribute from the json annotations.json file. It’d be nice if this was abstracted to enable any number of labels per box but that may require a custom dataset - Increase the number of classes to
N_classes + N_superclasses
orN_nodes
in the case of a 3 or more level class hierarchy. - Switch to BCE loss if there are multiple labels per box.
- Generate the truth vector for both precise class and any parent or supercategory(s) of the box.
Alternatives
YOLOv3 implements it in this way, I believe. RFCN takes a different a more divergent approach.
Issue Analytics
- State:
- Created 5 years ago
- Comments:6 (1 by maintainers)
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Hi did any one find way for multi label mask rcnn?