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How does your model illustrate specific feature combination for deep learning models - let's say instance segmentation
by kk58 4y ago
How does your model illustrate specific feature combination for deep learning models - let's say instance segmentation
- sourabh03agr 4y agoThere are two ways: 1. We use model-inferred embeddings. Say, for the instance segmentation task, we use deep learning networks to transform the input image into a dense embeddings representation, on top of which we run clustering and density estimation to find if the given embedding/image/feature combination is an outlier (or belongs to low-density region) 2. We allow users to define custom signals to identify edge-cases, specific to their use-case. A very simple example could be calculate brightness or Hue properties on the input image and see if that is an outlier compared to the training distribution.
- deleted 4y ago[deleted]
- vvipgupta 4y agoJust curious, what kind of use cases do you have in mind?