SOTAVerified

Segmentation

Papers

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Showing 8351–8400 of 13072 papers

TitleStatusHype
Segmentation and genome annotation algorithms—0
CovTANet: A Hybrid Tri-level Attention Based Network for Lesion Segmentation, Diagnosis, and Severity Prediction of COVID-19 Chest CT Scans—0
RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs using a Novel Multi-scale Generative Adversarial NetworkCode1
ASIST: Annotation-free Synthetic Instance Segmentation and Tracking by Adversarial Simulations—0
Domain Adaptation for the Segmentation of Confidential Medical ImagesCode0
Multi-stage Deep Layer Aggregation for Brain Tumor Segmentation—0
Superbizarre Is Not Superb: Derivational Morphology Improves BERT's Interpretation of Complex WordsCode1
CryoNuSeg: A Dataset for Nuclei Instance Segmentation of Cryosectioned H&E-Stained Histological ImagesCode1
ECS-Net: Improving Weakly Supervised Semantic Segmentation by Using Connections Between Class Activation Maps—0
Mutual-Complementing Framework for Nuclei Detection and Segmentation in Pathology Image—0
Refining Action Segmentation With Hierarchical Video RepresentationsCode1
An Elastica Geodesic Approach With Convexity Shape Prior—0
Unsupervised Segmentation Incorporating Shape Prior via Generative Adversarial Networks—0
Parallel Detection-and-Segmentation Learning for Weakly Supervised Instance Segmentation—0
Weakly Supervised 3D Semantic Segmentation Using Cross-Image Consensus and Inter-Voxel Affinity Relations—0
PrimitiveNet: Primitive Instance Segmentation With Local Primitive Embedding Under Adversarial MetricCode1
BAPA-Net: Boundary Adaptation and Prototype Alignment for Cross-Domain Semantic SegmentationCode1
Self-Supervised Vessel Segmentation via Adversarial LearningCode1
Scribble-Supervised Semantic Segmentation Inference—0
Persistent Homology Based Graph Convolution Network for Fine-Grained 3D Shape Segmentation—0
RFNet: Region-Aware Fusion Network for Incomplete Multi-Modal Brain Tumor SegmentationCode1
TempNet: Online Semantic Segmentation on Large-Scale Point Cloud Series—0
SLIM: Self-Supervised LiDAR Scene Flow and Motion Segmentation—0
Joint Topology-Preserving and Feature-Refinement Network for Curvilinear Structure Segmentation—0
Prototypical Matching and Open Set Rejection for Zero-Shot Semantic Segmentation—0
Predictive Feature Learning for Future Segmentation Prediction—0
Self-Mutating Network for Domain Adaptive Segmentation in Aerial Images—0
Contrastive Learning for Label Efficient Semantic Segmentation—0
Hypercorrelation Squeeze for Few-Shot Segmenation—0
Continuous Copy-Paste for One-Stage Multi-Object Tracking and SegmentationCode1
Conditional Diffusion for Interactive Segmentation—0
Graph-BAS3Net: Boundary-Aware Semi-Supervised Segmentation Network With Bilateral Graph Convolution—0
Collaborative and Adversarial Learning of Focused and Dispersive Representations for Semi-Supervised Polyp Segmentation—0
Weakly Supervised Segmentation of Small Buildings With Point Labels—0
Semantic Aware Data Augmentation for Cell Nuclei Microscopical Images With Artificial Neural Networks—0
Road Anomaly Detection by Partial Image Reconstruction With Segmentation CouplingCode1
Faster Multi-Object Segmentation Using Parallel Quadratic Pseudo-Boolean Optimization—0
FashionMirror: Co-Attention Feature-Remapping Virtual Try-On With Sequential Template PosesCode0
CDNet: Centripetal Direction Network for Nuclear Instance SegmentationCode1
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike?Code1
Sensei: Self-Supervised Sensor Name SegmentationCode0
AggMask: Exploring locally aggregated learning of mask representations for instance segmentationCode1
Shape-Tailored Deep Neural Networks Using PDEs for Segmentation—0
Semantic Segmentation Based Unsupervised Domain Adaptation via Pseudo-Label Fusion—0
Contextual Image Parsing via Panoptic Segment Sorting—0
Contextual Graph Reasoning Networks—0
Efficiently Troubleshooting Image Segmentation Models with Human-In-The-Loop—0
Unconditional Synthesis of Complex Scenes Using a Semantic Bottleneck—0
Recall Loss for Imbalanced Image Classification and Semantic SegmentationCode1
Differentiable Programming for Piecewise Polynomial Functions—0
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All datasetsSA-1B.MFSDMMFloodSimGas

Benchmark Results

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