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MaskAdapter

Mask-Adapter

Mask-Adapter: The Devil is in the Masks for Open-Vocabulary Segmentation

YongKang Li^1,*, Tianheng Cheng^1,*, Wenyu Liu¹, Xinggang Wang^1,📧

¹ Huazhong University of Science and Technology,

(* equal contribution, 📧 corresponding author)

Highlights

Mask-Adapter is a simple yet remarkably effective method and can be seamlessly integrated into open-vocabulary segmentation methods, e.g., FC-CLIP and MAFT-Plus, to tackle the existing bottlenecks.
Mask-Adapter effectively extends to SAM without training, achieving impressive results across multiple open-vocabulary segmentation benchmarks.

Updates

Release code
Release weights
Release demo with SAM-2👉 🤗 Mask-Adapter
Release weights training with addtional data

Installation

Please follow installation.

Getting Started

See Preparing Datasets for Mask-Adapter.Following FC-CLIP and MAFT-Plus to prepare datasets.

See Getting Started with Mask-Adapter.

Citing Mask-Adapter

If you use Mask-Adapter in your research, please use the following BibTeX entry.

Acknowledgement

MaskAdapter