Comments (1)
sandipan211
commented on July 18, 2024
Yes, we followed the settings used in previous works and tested separately for seen and unseen.
Regarding custom data, the generated visual features from GAN are used to train a classifier whose weights are copied to the FasterRCNN to empower it with unseen class detection. Have you done that step?
We also recommend you go through these instructions we uploaded recently in our README.md for handling custom data. If you have missed any of the steps mentioned there or replaced them with some other step of your own, the result and behavior of the model might be affected.
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Related Issues (20)
- The test result of detector trained only on seen classes HOT 23
- Training on custom data HOT 2
- class embedding vector for custom data HOT 4
- Custom Data HOT 1
- when classifier is trained
- is train_unseen_classifier.py missing HOT 1
- how to generate test npy for unseen classes HOT 2
- custom dataset tune HOT 2
- Pascal VOC data split HOT 2
- inference to single image HOT 1
- Can you provide some output files？ HOT 7
- Author， Do you think you will update the code and environment to the latest version？ HOT 2
- num_classes for first step HOT 3
- How to generate class embedding files? HOT 2
- Do you have a minimal environment YAML file? HOT 1
- Do you still have the weight file obtained by executing the fifth step HOT 2
- Do you think you'll ever migrate your code to the latest stable versions of mmcv and mmdetection? HOT 13
- Some hesitations related to background class label index HOT 5
- Confusion about validation metrics for zero-shot detection. HOT 3
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