Implicit neural networks can generate attribution masks that are smoother under area constraints and iteratively yield multiple non-overlapping explanations for a deep model's prediction.
The pascal visual object classes challenge: A retrospective
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Generating visual explanations from deep networks using implicit neural representations
Implicit neural networks can generate attribution masks that are smoother under area constraints and iteratively yield multiple non-overlapping explanations for a deep model's prediction.