Segment and Recognize Anything at Any Granularity
Feng Li, Hao Zhang, Peize Sun, Xueyan Zou, Shilong Liu +4 more
2/14/2026
No official code found. Best implementation: UX-Decoder/Semantic-SAM (2,852 stars, last commit 2025-07-10).
Code Implementations(1)
Similar Papers
Rationalizing and Augmenting Dynamic Graph Neural Networks
86% match2026
Efficient and Separate Authentication Image Steganography Network
86% match1 repo62026
MRFS: Mutually Reinforcing Image Fusion and Segmentation
84% match1 repo572026
UniIR: Training and Benchmarking Universal Multimodal Information Retrievers
84% match1 repo1852026
Creating Full View Panoramic Image Mosaics and Environment Maps
84% match2026
Bridging Compressed Image Latents and Multimodal Large Language Models
83% match2026
Cite this paper
@article{li2026segment,
title = {Segment and Recognize Anything at Any Granularity},
author = {Feng Li and Hao Zhang and Peize Sun and Xueyan Zou and Shilong Liu and Chun-yue Li and Jianwei Yang and Lei Zhang and Jianfeng Gao},
year = {2026},
doi = {10.1007/978-3-031-73195-2_27},
url = {https://doi.org/10.1007/978-3-031-73195-2_27},
journal = {ECCV 2024 2024}
}Add a badge to your README
Shows whether official code is linked for this paper.
[](https://codeofpaper.com/paper/267014e1dd63bed32573a8906447a5b4fe3e4780)