SOTAVerified

Segmentation

Papers

Showing 17011725 of 13072 papers

TitleStatusHype
1st Place Solution of The Robust Vision Challenge 2022 Semantic Segmentation TrackCode1
Distribution Alignment: A Unified Framework for Long-tail Visual RecognitionCode1
Automatic Segmentation of Gross Target Volume of Nasopharynx Cancer using Ensemble of Multiscale Deep Neural Networks with Spatial AttentionCode1
FPS-Net: A Convolutional Fusion Network for Large-Scale LiDAR Point Cloud SegmentationCode1
FPCC: Fast Point Cloud Clustering based Instance Segmentation for Industrial Bin-pickingCode1
DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic SegmentationCode1
D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image SegmentationCode1
DMRST: A Joint Framework for Document-Level Multilingual RST Discourse Segmentation and ParsingCode1
Automatic segmentation of lung findings in CT and application to Long COVIDCode1
docExtractor: An off-the-shelf historical document element extractionCode1
Frame-To-Frame Consistent Semantic SegmentationCode1
FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation ModelsCode1
A One Stop 3D Target Reconstruction and multilevel Segmentation MethodCode1
Automatic Segmentation of Organs-at-Risk from Head-and-Neck CT using Separable Convolutional Neural Network with Hard-Region-Weighted LossCode1
Domain Adaptation of Echocardiography Segmentation Via Reinforcement LearningCode1
Domain Adaptive Video Segmentation via Temporal Consistency RegularizationCode1
Domain Adaptive Semantic Segmentation with Self-Supervised Depth EstimationCode1
Domain Adaptive Semantic Segmentation without Source DataCode1
CANet: Context Aware Network for 3D Brain Glioma SegmentationCode1
Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image SegmentationCode1
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image SegmentationCode1
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image SegmentationCode1
Active learning for medical image segmentation with stochastic batchesCode1
Masked Supervised Learning for Semantic SegmentationCode1
Medical Image Segmentation via Unsupervised Convolutional Neural NetworkCode1
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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