Abstract: Highlights•The first transformer-based unified architecture tackling fine-grained and generic edge detection.•Embedding learned cause tokens in a decoder for dynamic kernel generation.•A new loss function to ensure the consistency between edge maps from unified network.•Several new benchmarks for the evaluation of fine-grained edge detection.•New SOTA results on a public benchmark and newly benchmarks.
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