Comments (2)
Hi, the object classes are inferred by the FasterRCNN directly. I tried to train the custom classifier, hoping it can optimize the object classification. However, the custom classifier doesn't perform as expected. I think the reasons should be the bad quality of region proposals and overlapped object classes (e.g. bottle/cup).
You could remove the custom classifier for sgdet task by yourself :) This does not affect the result
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Thanks for your reply!
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Related Issues (20)
- About the average precision of predicates HOT 1
- Query about "Other Relationships" HOT 1
- Scene Graph prediction on custom video without downloading any dataset and using pre trained models HOT 1
- 预训练好的模型 HOT 1
- 俩次筛选 HOT 1
- fasterRCNN compilation error with python 3.8 and pytorch 1.12 cuda 11.3 HOT 3
- Broken file for pretrained models HOT 3
- Pre-trained detector using Action Genone HOT 1
- about object_bbox HOT 8
- 如何生成pkl格式文件 HOT 2
- Trained model file doesn't open HOT 1
- video action recognition visualization HOT 1
- Test set for performance metrics HOT 1
- clean_class HOT 2
- save graph and graph visualisation HOT 4
- Faster RCNN configuration HOT 2
- Match the prediction to each frame HOT 2
- Data related problem HOT 2
- ImportError: cannot import name '_C' from 'fasterRCNN.lib.model' (/home/k/kajal/STTran/fasterRCNN/lib/model/__init__.py) HOT 6
- fasterrcnn HOT 1
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