SOTAVerified

Segmentation

Papers

Showing 22012225 of 13072 papers

TitleStatusHype
Rethinking Attention Gated with Hybrid Dual Pyramid Transformer-CNN for Generalized Segmentation in Medical ImagingCode0
Panoptic Segmentation and Labelling of Lumbar Spine Vertebrae using Modified Attention Unet0
CLFT: Camera-LiDAR Fusion Transformer for Semantic Segmentation in Autonomous DrivingCode1
Segmentation Quality and Volumetric Accuracy in Medical Imaging0
GLIMS: Attention-Guided Lightweight Multi-Scale Hybrid Network for Volumetric Semantic SegmentationCode0
Quantum Patch-Based Autoencoder for Anomaly SegmentationCode0
Optimizing Universal Lesion Segmentation: State Space Model-Guided Hierarchical Networks with Feature Importance Adjustment0
Discriminative features pyramid network for medical image segmentationCode0
Discriminative features pyramid network for medical image segmentationCode0
Boosting Unsupervised Semantic Segmentation with Principal Mask ProposalsCode1
DiffSeg: A Segmentation Model for Skin Lesions Based on Diffusion Difference0
Light-weight Retinal Layer Segmentation with Global ReasoningCode0
A Multi-objective Optimization Benchmark Test Suite for Real-time Semantic SegmentationCode2
Multimodal Information Interaction for Medical Image SegmentationCode2
Multi-view Cardiac Image Segmentation via Trans-Dimensional Priors0
RadGenome-Chest CT: A Grounded Vision-Language Dataset for Chest CT AnalysisCode0
Semantic Segmentation Refiner for Ultrasound Applications with Zero-Shot Foundation Models0
MAS-SAM: Segment Any Marine Animal with Aggregated FeaturesCode1
AnoFPDM: Anomaly Segmentation with Forward Process of Diffusion Models for Brain MRICode0
Does SAM dream of EIG? Characterizing Interactive Segmenter Performance using Expected Information Gain0
OMEGAS: Object Mesh Extraction from Large Scenes Guided by Gaussian SegmentationCode0
CFPFormer: Feature-pyramid like Transformer Decoder for Segmentation and Detection0
PRISM: A Promptable and Robust Interactive Segmentation Model with Visual PromptsCode1
X-3D: Explicit 3D Structure Modeling for Point Cloud RecognitionCode1
DAWN: Domain-Adaptive Weakly Supervised Nuclei Segmentation via Cross-Task InteractionsCode0
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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