SOTAVerified

Segmentation

Papers

Showing 90269050 of 13072 papers

TitleStatusHype
Unsupervised Image Segmentation using Mutual Mean-Teaching0
S3CNet: A Sparse Semantic Scene Completion Network for LiDAR Point Clouds0
Transfer Learning Through Weighted Loss Function and Group Normalization for Vessel Segmentation from Retinal Images0
Spatial Context-Aware Self-Attention Model For Multi-Organ Segmentation0
REFINE: Prediction Fusion Network for Panoptic Segmentation0
Robots Understanding Contextual Information in Human-Centered Environments using Weakly Supervised Mask Data Distillation0
Cross-Domain Grouping and Alignment for Domain Adaptive Semantic SegmentationCode0
mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets0
Detection and extraction of biological particles in a three-dimensional imaging of biological structures by TEM (Transmission Electron Microscopy)0
Information-Theoretic Segmentation by Inpainting Error MaximizationCode0
Improving Video Instance Segmentation by Light-weight Temporal Uncertainty EstimatesCode0
Accurate Cell Segmentation in Digital Pathology Images via Attention Enforced Networks0
Improving Panoptic Segmentation at All Scales0
Towards unsupervised phone and word segmentation using self-supervised vector-quantized neural networks0
DeepLesionBrain: Towards a broader deep-learning generalization for multiple sclerosis lesion segmentation0
Pyramid-Focus-Augmentation: Medical Image Segmentation with Step-Wise FocusCode0
Uncertainty Estimation in Deep Neural Networks for Point Cloud Segmentation in Factory Planning0
Robust Segmentation of Optic Disc and Cup from Fundus Images Using Deep Neural Networks0
Iterative Utterance Segmentation for Neural Semantic Parsing0
Contrastive Learning for Label-Efficient Semantic Segmentation0
Comparative Analysis of Methods for Cloud Segmentation in Ground-Based Infrared ImagesCode0
HI-Net: Hyperdense Inception 3D UNet for Brain Tumor Segmentation0
Multiple Sclerosis Lesion Segmentation -- A Survey of Supervised CNN-Based Methods0
On Learning the Right Attention Point for Feature Enhancement0
Morphology Matters: A Multilingual Language Modeling AnalysisCode0
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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