SOTAVerified

Segmentation

Papers

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Showing 7626–7650 of 13072 papers

TitleStatusHype
Motion-Corrected Moving Average: Including Post-Hoc Temporal Information for Improved Video Segmentation—0
Multi-stream 3D FCN with Multi-scale Deep Supervision for Multi-modality Isointense Infant Brain MR Image Segmentation—0
Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation—0
Multi-Structure Deep Segmentation with Shape Priors and Latent Adversarial Regularization—0
Motion Segmentation Using Locally Affine Atom Voting—0
Multi-Task and Multi-Modal Learning for RGB Dynamic Gesture Recognition—0
Multi-task learning for classification, segmentation, reconstruction, and detection on chest CT scans—0
Motion Trajectory Segmentation via Minimum Cost Multicuts—0
Motor, un outil de segmentation accessible en ligne (Motor, a segmentation tool accessible online)—0
MOTS: Multi-Object Tracking and Segmentation—0
MouseGAN++: Unsupervised Disentanglement and Contrastive Representation for Multiple MRI Modalities Synthesis and Structural Segmentation of Mouse Brain—0
Multiview Based 3D Scene Understanding On Partial Point Sets—0
Movable-Object-Aware Visual SLAM via Weakly Supervised Semantic Segmentation—0
FCN+: Global Receptive Convolution Makes FCN Great Again—0
A Pixel-Level Meta-Learner for Weakly Supervised Few-Shot Semantic Segmentation—0
DIVA-HisDB: A Precisely Annotated Large Dataset of Challenging Medieval Manuscripts—0
FCB-SwinV2 Transformer for Polyp Segmentation—0
Ablation Study to Clarify the Mechanism of Object Segmentation in Multi-Object Representation Learning—0
Moving Object Segmentation in Jittery Videos by Stabilizing Trajectories Modeled in Kendall's Shape Space—0
MPASNET: Motion Prior-Aware Siamese Network for Unsupervised Deep Crowd Segmentation in Video Scenes—0
MPDIoU: A Loss for Efficient and Accurate Bounding Box Regression—0
FBNet: Feature Balance Network for Urban-Scene Segmentation—0
Cerebrovascular Segmentation via Vessel Oriented Filtering Network—0
Advancing Incremental Few-shot Semantic Segmentation via Semantic-guided Relation Alignment and Adaptation—0
FAU-Net: An Attention U-Net Extension with Feature Pyramid Attention for Prostate Cancer Segmentation—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