SOTAVerified

Segmentation

Papers

Showing 20262050 of 13072 papers

TitleStatusHype
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image AnalysisCode1
Mask Transfiner for High-Quality Instance SegmentationCode1
A Robust Volumetric Transformer for Accurate 3D Tumor SegmentationCode1
Efficient Self-Ensemble for Semantic SegmentationCode1
Modeling Annotator Preference and Stochastic Annotation Error for Medical Image SegmentationCode1
AGCN: Adversarial Graph Convolutional Network for 3D Point Cloud SegmentationCode1
Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic SegmentationCode1
Causality-inspired Single-source Domain Generalization for Medical Image SegmentationCode1
SPCL: A New Framework for Domain Adaptive Semantic Segmentation via Semantic Prototype-based Contrastive LearningCode1
Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving ScenesCode1
Source-free unsupervised domain adaptation for cross-modality abdominal multi-organ segmentationCode1
Depth-aware Object Segmentation and Grasp Detection for Robotic Picking TasksCode1
Monocular Arbitrary Moving Object Discovery and SegmentationCode1
Improving Semantic Image Segmentation via Label Fusion in Semantically Textured MeshesCode1
ATLANTIS: A Benchmark for Semantic Segmentation of Waterbody ImagesCode1
One-shot Weakly-Supervised Segmentation in Medical ImagesCode1
GMSRF-Net: An improved generalizability with global multi-scale residual fusion network for polyp segmentationCode1
FAMINet: Learning Real-time Semi-supervised Video Object Segmentation with Steepest Optimized Optical FlowCode1
Bi-Mix: Bidirectional Mixing for Domain Adaptive Nighttime Semantic SegmentationCode1
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object SegmentationCode1
Panoptic Segmentation: A ReviewCode1
SAPNet: Segmentation-Aware Progressive Network for Perceptual Contrastive DerainingCode1
Code-free development and deployment of deep segmentation models for digital pathologyCode1
D2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in VideosCode1
D^2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in VideosCode1
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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