SOTAVerified

Segmentation

Papers

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Showing 11651–11675 of 13072 papers

TitleStatusHype
3D-AffordanceLLM: Harnessing Large Language Models for Open-Vocabulary Affordance Detection in 3D Worlds—0
A Dense Siamese U-Net trained with Edge Enhanced 3D IOU Loss for Image Co-segmentation—0
Adenocarcinoma Segmentation Using Pre-trained Swin-UNet with Parallel Cross-Attention for Multi-Domain Imaging—0
Masked Conditional Diffusion Models for Image Analysis with Application to Radiographic Diagnosis of Infant Abuse—0
A deep-structured fully-connected random field model for structured inference—0
Masked Gamma-SSL: Learning Uncertainty Estimation via Masked Image Modeling—0
A Deep Semantic Segmentation Network with Semantic and Contextual Refinements—0
Masked Momentum Contrastive Learning for Zero-shot Semantic Understanding—0
A Deep Neural Networks Approach for Pixel-Level Runway Pavement Crack Segmentation Using Drone-Captured Images—0
Mask Encoding for Single Shot Instance Segmentation—0
A Deeply Supervised Semantic Segmentation Method Based on GAN—0
A deep local attention network for pre-operative lymph node metastasis prediction in pancreatic cancer via multiphase CT imaging—0
Open-world Instance Segmentation: Top-down Learning with Bottom-up Supervision—0
A deep learning network with differentiable dynamic programming for retina OCT surface segmentation—0
Mask-guided sample selection for Semi-Supervised Instance Segmentation—0
MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features—0
A deep learning model integrating FCNNs and CRFs for brain tumor segmentation—0
Maskomaly:Zero-Shot Mask Anomaly Segmentation—0
MaskPlus: Improving Mask Generation for Instance Segmentation—0
Joint Object Contour Points and Semantics for Instance Segmentation—0
Mask Propagation Network for Video Object Segmentation—0
MaskRange: A Mask-classification Model for Range-view based LiDAR Segmentation—0
A deep learning model for segmentation of geographic atrophy to study its long-term natural history—0
Open-World Panoptic Segmentation—0
MaskRNN: Instance Level Video Object 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