![[论文审查] Adapting Segment Anything Model to Multi-modal Salient Object ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/adapting-segment-anything-model-to-multi-modal-salient-object-detection-with-semantic-feature-fusion-guidance-0.png)
%2C%20a%20foundation%20model%20for%20general%20mask%20segmentation.%20However%2C%20SAM%20is%20largely%20tailored%20for%20single-modal%20RGB%20images%2C%20limiting%20its%20applicability%20to%20multi-modal%20data%20captured%20with%20widely-adopted%20sensor%20suites%2C%20such%20as%20LiDAR%20plus%20RGB%2C%20depth%20plus%20RGB%2C%20thermal%20plus%20RGB%2C%20etc.%20We%20develop%20MM-SAM%2C%20an%20extension%20and%20expansion%20of%20SAM%20that%20supports%20cross-modal%20and%20multi-modal%20processing%20for%20robust%20and%20enhanced%20segmentation%20with%20different%20sensor%20suites.%20MM-SAM%20features%20two%20key%20designs%2C%20namely%2C%20unsupervised%20cross-modal%20transfer%20and%20weakly-supervised%20multi-modal%20fusion%2C%20enabling%20label-efficient%20and%20parameter-efficient%20adaptation%20toward%20various%20sensor%20modalities.%20It%20addresses%20three%20main%20challenges:%201)%20adaptation%20toward%20diverse%20non-RGB%20sensors%20for%20single-modal%20processing%2C%202)%20synergistic%20processing%20of%20multi-modal%20data%20via%20sensor%20fusion%2C%20and%203)%20mask-free%20training%20for%20different%20downstream%20tasks.%20Extensive%20experiments%20show%20that%20MM-SAM%20consistently%20outperforms%20SAM%20by%20large%20margins%2C%20demonstrating%20its%20effectiveness%20and%20robustness%20across%20various%20sensors%20and%20data%20modalities.)
![[論文レビュー] Multi-Scale and Detail-Enhanced Segment Anything Model for ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/multi-scale-and-detail-enhanced-segment-anything-model-for-salient-object-detection-1.png)
![[PDF] Multi-Modal Weights Sharing and Hierarchical Feature Fusion for ...](https://i1.rgstatic.net/publication/339035217_Multi-modal_Weights_Sharing_and_Hierarchical_Feature_Fusion_for_RGBD_Salient_Object_Detection/links/5e3a120da6fdccd96587e875/largepreview.png)
![[PDF] Multi-Modal Weights Sharing and Hierarchical Feature Fusion for ...](https://www.researchgate.net/publication/339035217/figure/fig1/AS:855020027252737@1580864068709/Different-network-structures-for-deep-feature-fusion-a-Late-fusion-b-Early-fusion_Q640.jpg)
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