SegGPT: Segmenting Everything In Context
Free while signed in. Answers cite the passages they came from.
First page

The curator’s take
Key pointsUnifies segmentation tasks into a generalist in-context model.
01
In-context segmentation: Uses in-context examples (input-mask pairs) to define the segmentation task at inference time.
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Task generalization: Handles semantic, instance, panoptic, and referring segmentation through the same in-context interface.
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Training-free adaptation: Adapts to new segmentation tasks without retraining - just provide example pairs.
04
Prompt-based vision: Part of the 2023 push to bring LLM-style in-context learning to vision tasks.
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