SOTAVerified

Segmentation

Papers

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Showing 6776–6800 of 13072 papers

TitleStatusHype
Tencent AVS: A Holistic Ads Video Dataset for Multi-modal Scene Segmentation—0
An Empirical Study on Multi-Domain Robust Semantic Segmentation—0
AsyInst: Asymmetric Affinity with DepthGrad and Color for Box-Supervised Instance Segmentation—0
Gaussian Radar Transformer for Semantic Segmentation in Noisy Radar Data—0
Few-shot Medical Image Segmentation with Cycle-resemblance Attention—0
A segmentation method of airway from chest CT image based on Vgg-Unet neural networkCode0
Framework-agnostic Semantically-aware Global Reasoning for Segmentation—0
A new eye segmentation method based on improved U2Net in TCM eye diagnosisCode0
Video Object of Interest Segmentation—0
Double U-Net for Super-Resolution and Segmentation of Live Cell Images—0
Minimum Class Confusion based Transfer for Land Cover Segmentation in Rural and Urban Regions—0
Location-Aware Self-Supervised Transformers for Semantic Segmentation—0
MouseGAN++: Unsupervised Disentanglement and Contrastive Representation for Multiple MRI Modalities Synthesis and Structural Segmentation of Mouse Brain—0
Active learning using adaptable task-based prioritisation—0
Activating the Discriminability of Novel Classes for Few-shot Segmentation—0
Investigating certain choices of CNN configurations for brain lesion segmentation—0
EBHI-Seg: A Novel Enteroscope Biopsy Histopathological Haematoxylin and Eosin Image Dataset for Image Segmentation Tasks—0
Reliable Joint Segmentation of Retinal Edema Lesions in OCT ImagesCode0
3D Segmentation of Humans in Point Clouds with Synthetic Data—0
Multi-rater Prism: Learning self-calibrated medical image segmentation from multiple ratersCode0
CONDA: Continual Unsupervised Domain Adaptation Learning in Visual Perception for Self-Driving Cars—0
Component Segmentation of Engineering Drawings Using Graph Convolutional Networks—0
DSNet: a simple yet efficient network with dual-stream attention for lesion segmentation—0
MLC at HECKTOR 2022: The Effect and Importance of Training Data when Analyzing Cases of Head and Neck Tumors using Machine LearningCode0
Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis InitiativeCode0
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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