Papers Multi-modal image segmentation
“Multi-modal image segmentation” 태그가 달린 논문 4편 · 필터 해제
MemorySAM: Memorize Modalities and Semantics with Segment Anything Model 2 for Multi-modal Semantic Segmentation
Research has focused on Multi-Modal Semantic Segmentation (MMSS), where pixel-wise predictions are derived from multiple visual modalities captured by diverse sensors. Recently, the large vision model, Segment Anything M…
Multi-modal image segmentationSemantic SegmentationPASSION: Towards Effective Incomplete Multi-Modal Medical Image Segmentation with Imbalanced Missing Rates
Incomplete multi-modal image segmentation is a fundamental task in medical imaging to refine deployment efficiency when only partial modalities are available. However, the common practice that complete-modality data is v…
Image SegmentationMedical Image SegmentationMulti-modal image segmentationSemantic SegmentationImage Segmentation Using Text and Image Prompts
Image segmentation is usually addressed by training a model for a fixed set of object classes. Incorporating additional classes or more complex queries later is expensive as it requires re-training the model on a dataset…
DecoderImage SegmentationMulti-modal image segmentationOne-Shot Segmentation+8HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation
Recently, dense connections have attracted substantial attention in computer vision because they facilitate gradient flow and implicit deep supervision during training. Particularly, DenseNet, which connects each layer t…
Brain Segmentationimage-classificationImage ClassificationImage Segmentation+5