SOTAVerified

Segmentation

Papers

Showing 301325 of 13072 papers

TitleStatusHype
PMFSNet: Polarized Multi-scale Feature Self-attention Network For Lightweight Medical Image SegmentationCode2
PartSTAD: 2D-to-3D Part Segmentation Task AdaptationCode2
Deep Covariance Alignment for Domain Adaptive Remote Sensing Image SegmentationCode2
U-Mamba: Enhancing Long-range Dependency for Biomedical Image SegmentationCode2
ODIN: A Single Model for 2D and 3D SegmentationCode2
ClassWise-SAM-Adapter: Parameter Efficient Fine-tuning Adapts Segment Anything to SAR Domain for Semantic SegmentationCode2
MRFS: Mutually Reinforcing Image Fusion and SegmentationCode2
FACT: Frame-Action Cross-Attention Temporal Modeling for Efficient Action SegmentationCode2
Learn to Rectify the Bias of CLIP for Unsupervised Semantic SegmentationCode2
MemSAM: Taming Segment Anything Model for Echocardiography Video SegmentationCode2
From SAM to CAMs: Exploring Segment Anything Model for Weakly Supervised Semantic SegmentationCode2
BRAU-Net++: U-Shaped Hybrid CNN-Transformer Network for Medical Image SegmentationCode2
Rethinking Interactive Image Segmentation with Low Latency High Quality and Diverse PromptsCode2
One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text PromptsCode2
Unsupervised Universal Image SegmentationCode2
UniRef++: Segment Every Reference Object in Spatial and Temporal SpacesCode2
Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentationCode2
SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Diffusion ProcessCode2
Polyper: Boundary Sensitive Polyp SegmentationCode2
MCANet: Medical Image Segmentation with Multi-Scale Cross-Axis AttentionCode2
ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical ImageCode2
FRNet: Frustum-Range Networks for Scalable LiDAR SegmentationCode2
SAM-Assisted Remote Sensing Imagery Semantic Segmentation with Object and Boundary ConstraintsCode2
Towards Automatic Power Battery Detection: New Challenge, Benchmark Dataset and BaselineCode2
Aligning and Prompting Everything All at Once for Universal Visual PerceptionCode2
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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