SOTAVerified

Segmentation

Papers

Showing 10511075 of 13072 papers

TitleStatusHype
AGCN: Adversarial Graph Convolutional Network for 3D Point Cloud SegmentationCode1
3D Medical Image Segmentation with Sparse Annotation via Cross-Teaching between 3D and 2D NetworksCode1
Domain Adaptive Video Segmentation via Temporal Pseudo SupervisionCode1
DoNet: Deep De-overlapping Network for Cytology Instance SegmentationCode1
Do Vision Foundation Models Enhance Domain Generalization in Medical Image Segmentation?Code1
Dual Attention U-Net with Feature Infusion: Pushing the Boundaries of Multiclass Defect SegmentationCode1
EDAPS: Enhanced Domain-Adaptive Panoptic SegmentationCode1
Document-level Relation Extraction as Semantic SegmentationCode1
Achelous++: Power-Oriented Water-Surface Panoptic Perception Framework on Edge Devices based on Vision-Radar Fusion and Pruning of Heterogeneous ModalitiesCode1
DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic SegmentationCode1
docExtractor: An off-the-shelf historical document element extractionCode1
Achelous: A Fast Unified Water-surface Panoptic Perception Framework based on Fusion of Monocular Camera and 4D mmWave RadarCode1
DocSegTr: An Instance-Level End-to-End Document Image Segmentation TransformerCode1
DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasetsCode1
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene UnderstandingCode1
A Character-Level Decoder without Explicit Segmentation for Neural Machine TranslationCode1
DMRST: A Joint Framework for Document-Level Multilingual RST Discourse Segmentation and ParsingCode1
BARS: A Benchmark for Airport Runway SegmentationCode1
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised SegmentationCode1
D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image SegmentationCode1
Domain Adaptation of Echocardiography Segmentation Via Reinforcement LearningCode1
DivergentNets: Medical Image Segmentation by Network EnsembleCode1
Distribution Alignment: A Unified Framework for Long-tail Visual RecognitionCode1
Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic SegmentationCode1
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-LabelingCode1
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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