Comments (2)
Sorry,I didn't finish reading the documentation.Now I can use sh file to download the dataset. the another queston is what does the semantic_score mean,if it is prob predicted by semantic network, the sum of its value must be 1,but I see there is a sample whose semantic_score is [0.0,0.0,0.392],I do not know what this value mean .hope to get your reply !
from semantic-aware-scene-recognition.
Those values are indeed semantic probabilities obtained by the semantic network. However, in the proposed method only the Top 3 semantic predictions are used (the actual model retrieves 150 semantic classes). That's why those 3 scores do not sum up to 1.
The paper contains further information about this.
from semantic-aware-scene-recognition.
Related Issues (20)
- Model zoo links expired HOT 6
- AttributeError: Can't pickle local object 'ADE20KDataset.__init__.<locals>.<lambda>' HOT 3
- question about the format of the top3 scores in the precomputed dataset. HOT 2
- resnet50-RGB-branch model
- how to train your model. Need the train.py file or the command to train HOT 8
- How to convert semantic segmentation results into required format HOT 5
- 如何测试但张图片? HOT 2
- Thank you! HOT 4
- I tried to train the RGB branch on ADE20K from scratch, but only got 45% acc rather than 55.9%. HOT 13
- Runtime Error while evaluating the model HOT 1
- How to test this model? HOT 1
- no question
- Training Problems
- The training code
- Question about two attention modules HOT 4
- how to test model on new images HOT 2
- Why did the semantic score map become 152 channels HOT 3
- Link Down: Cannot downloads Weight files and nois_semantic data HOT 1
- When I use RGB_ ResNet50_ SUN model, select ONLY_ RGB: TRUE, the evaluation.py report an error HOT 3
- Places-365 noisy training data not found HOT 1
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from semantic-aware-scene-recognition.