SOTAVerified

Segmentation

Papers

Showing 251275 of 13072 papers

TitleStatusHype
Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic SegmentationCode2
LaSagnA: Language-based Segmentation Assistant for Complex QueriesCode2
ViM-UNet: Vision Mamba for Biomedical SegmentationCode2
Deep learning-driven pulmonary artery and vein segmentation reveals demography-associated vasculature anatomical differencesCode2
Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero shot Medical Image SegmentationCode2
LHU-Net: A Light Hybrid U-Net for Cost-Efficient, High-Performance Volumetric Medical Image SegmentationCode2
Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular StructuresCode2
Samba: Semantic Segmentation of Remotely Sensed Images with State Space ModelCode2
Temporally Consistent Unbalanced Optimal Transport for Unsupervised Action SegmentationCode2
Rethinking Interactive Image Segmentation with Low Latency, High Quality, and Diverse PromptsCode2
AgileFormer: Spatially Agile Transformer UNet for Medical Image SegmentationCode2
SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large ObjectsCode2
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt TuningCode2
MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image SegmentationCode2
Generative Medical SegmentationCode2
Unleashing the Potential of SAM for Medical Adaptation via Hierarchical DecodingCode2
Efficient Video Object Segmentation via Modulated Cross-Attention MemoryCode2
TwinLiteNetPlus: A Stronger Model for Real-time Drivable Area and Lane SegmentationCode2
H-vmunet: High-order Vision Mamba UNet for Medical Image SegmentationCode2
Diversified and Personalized Multi-rater Medical Image SegmentationCode2
Better Call SAL: Towards Learning to Segment Anything in LidarCode2
Aerial Lifting: Neural Urban Semantic and Building Instance Lifting from Aerial ImageryCode2
BEVCar: Camera-Radar Fusion for BEV Map and Object SegmentationCode2
PosSAM: Panoptic Open-vocabulary Segment AnythingCode2
Caltech Aerial RGB-Thermal Dataset in the WildCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1unSAM+ (Semi-supervised)Average Precision42.8Unverified
2SAMAverage Precision38.9Unverified
#ModelMetricClaimedVerifiedStatus
1HNN10%20Unverified
#ModelMetricClaimedVerifiedStatus
1ABANetF1 Score96.82Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50 + DeepLabV3+F1 score0.77Unverified
#ModelMetricClaimedVerifiedStatus
1LangGasIoU0.69Unverified