Zero-Guidance Segmentation
1 papers with code • 0 benchmarks • 0 datasets
The task aiming to discover semantic segments without any user guidance in the form of text queries or predefined classes, and label them using natural language automatically
Benchmarks
These leaderboards are used to track progress in Zero-Guidance Segmentation
Most implemented papers
Zero-guidance Segmentation Using Zero Segment Labels
nessessence/ZeroGuidanceSeg
•
•
ICCV 2023
CLIP has enabled new and exciting joint vision-language applications, one of which is open-vocabulary segmentation, which can locate any segment given an arbitrary text query.
