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Multimodal

SegGPT: Segmenting Everything In Context

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First page
SegGPT: Segmenting Everything In Context
The curator’s take

Unifies segmentation tasks into a generalist in-context model.

Key points
01

In-context segmentation: Uses in-context examples (input-mask pairs) to define the segmentation task at inference time.

02

Task generalization: Handles semantic, instance, panoptic, and referring segmentation through the same in-context interface.

03

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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SegGPT: Segmenting Everything In Context | DAIR.AI Academy | DAIR.AI Academy