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Customize Segment Anything Model for Multi-Modal Semantic Segmentation
  with Mixture of LoRA Experts

Customize Segment Anything Model for Multi-Modal Semantic Segmentation with Mixture of LoRA Experts

5 December 2024
Chenyang Zhu
Bin Xiao
Lin Shi
Shoukun Xu
Xu Zheng
    MoE
ArXivPDFHTML

Papers citing "Customize Segment Anything Model for Multi-Modal Semantic Segmentation with Mixture of LoRA Experts"

5 / 5 papers shown
Title
Segment Any RGB-Thermal Model with Language-aided Distillation
Segment Any RGB-Thermal Model with Language-aided Distillation
Dong Xing
Xianxun Zhu
Wei Zhou
Qika Lin
Hang Yang
Yuqing Wang
VLM
45
0
0
04 May 2025
Benchmarking Multi-modal Semantic Segmentation under Sensor Failures: Missing and Noisy Modality Robustness
Benchmarking Multi-modal Semantic Segmentation under Sensor Failures: Missing and Noisy Modality Robustness
Chenfei Liao
Kaiyu Lei
Xu Zheng
Junha Moon
Zhixiong Wang
Y. Wang
Danda Pani Paudel
Luc Van Gool
Xuming Hu
VLM
48
1
0
24 Mar 2025
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications
Siyuan Mu
Sen Lin
MoE
56
1
0
10 Mar 2025
MemorySAM: Memorize Modalities and Semantics with Segment Anything Model 2 for Multi-modal Semantic Segmentation
MemorySAM: Memorize Modalities and Semantics with Segment Anything Model 2 for Multi-modal Semantic Segmentation
Chenfei Liao
Xu Zheng
Yuanhuiyi Lyu
Haiwei Xue
Yihong Cao
Jiawen Wang
Kailun Yang
Xuming Hu
VLM
35
2
0
09 Mar 2025
Learning Robust Anymodal Segmentor with Unimodal and Cross-modal
  Distillation
Learning Robust Anymodal Segmentor with Unimodal and Cross-modal Distillation
Xu Zheng
Haiwei Xue
Jialei Chen
Yibo Yan
Lutao Jiang
Yuanhuiyi Lyu
Kailun Yang
Linfeng Zhang
Xuming Hu
64
1
0
26 Nov 2024
1