SOTAVerified

Segmentation

Papers

Showing 16511700 of 13072 papers

TitleStatusHype
Automatic Foot Ulcer Segmentation Using an Ensemble of Convolutional Neural NetworksCode1
Joint Segmentation and Uncertainty Visualization of Retinal Layers in Optical Coherence Tomography Images using Bayesian Deep LearningCode1
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike?Code1
Kartezio: Evolutionary Design of Explainable Pipelines for Biomedical Image AnalysisCode1
CycleMLP: A MLP-like Architecture for Dense PredictionCode1
Automatic High Resolution Wire Segmentation and RemovalCode1
A Location-Sensitive Local Prototype Network for Few-Shot Medical Image SegmentationCode1
K-Net: Towards Unified Image SegmentationCode1
CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed TomographyCode1
Label-Efficient Learning on Point Clouds using Approximate Convex DecompositionsCode1
Label-efficient Segmentation via Affinity PropagationCode1
Automatic labelling of urban point clouds using data fusionCode1
blob loss: instance imbalance aware loss functions for semantic segmentationCode1
BLO-SAM: Bi-level Optimization Based Overfitting-Preventing Finetuning of SAMCode1
ALPS: An Auto-Labeling and Pre-training Scheme for Remote Sensing Segmentation With Segment Anything ModelCode1
Land Cover Segmentation with Sparse Annotations from Sentinel-2 ImageryCode1
CTooth+: A Large-scale Dental Cone Beam Computed Tomography Dataset and Benchmark for Tooth Volume SegmentationCode1
Curriculum Knowledge Switching for Pancreas SegmentationCode1
Language Guided Domain Generalized Medical Image SegmentationCode1
Large-batch Optimization for Dense Visual PredictionsCode1
CTNet: Context-based Tandem Network for Semantic SegmentationCode1
Large-scale Unsupervised Semantic SegmentationCode1
CT Liver Segmentation via PVT-based Encoding and Refined DecodingCode1
CTooth: A Fully Annotated 3D Dataset and Benchmark for Tooth Volume Segmentation on Cone Beam Computed Tomography ImagesCode1
Latent Graph Representations for Critical View of Safety AssessmentCode1
Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problemCode1
LC-GAN: Image-to-image Translation Based on Generative Adversarial Network for Endoscopic ImagesCode1
LeafMask: Towards Greater Accuracy on Leaf SegmentationCode1
BN-DRISHTI: Bangla Document Recognition through Instance-level Segmentation of Handwritten Text ImagesCode1
Learn Fast, Segment Well: Fast Object Segmentation Learning on the iCub RobotCode1
Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene UnderstandingCode1
A One Stop 3D Target Reconstruction and multilevel Segmentation MethodCode1
ActionVOS: Actions as Prompts for Video Object SegmentationCode1
Learning Context-aware Classifier for Semantic SegmentationCode1
AME-CAM: Attentive Multiple-Exit CAM for Weakly Supervised Segmentation on MRI Brain TumorCode1
Automatic Polyp Segmentation via Multi-scale Subtraction NetworkCode1
Learning from Noisy Pseudo-labels for All-Weather Land Cover MappingCode1
Learning from partially labeled data for multi-organ and tumor segmentationCode1
Learning Fuzzy Clustering for SPECT/CT Segmentation via Convolutional Neural NetworksCode1
Learning Gaussian Instance Segmentation in Point CloudsCode1
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentationCode1
Learning Inner-Group Relations on Point CloudsCode1
Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic SegmentationCode1
Learning Inter-Superpoint Affinity for Weakly Supervised 3D Instance SegmentationCode1
Active Boundary Loss for Semantic SegmentationCode1
Learning Non-target Knowledge for Few-shot Semantic SegmentationCode1
Amodal Cityscapes: A New Dataset, its Generation, and an Amodal Semantic Segmentation Challenge BaselineCode1
Learning Pairwise Inter-Plane Relations for Piecewise Planar ReconstructionCode1
Amodal Ground Truth and Completion in the WildCode1
CSFNet: A Cosine Similarity Fusion Network for Real-Time RGB-X Semantic Segmentation of Driving ScenesCode1
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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