SOTAVerified

Segmentation

Papers

Showing 23512375 of 13072 papers

TitleStatusHype
3D Dental Model Segmentation with Geometrical Boundary PreservingCode1
Decoupled Seg Tokens Make Stronger Reasoning Video Segmenter and GrounderCode1
CENet: Context Enhancement Network for Medical Image SegmentationCode1
CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous DrivingCode1
Advancing Generalizable Tumor Segmentation with Anomaly-Aware Open-Vocabulary Attention Maps and Frozen Foundation Diffusion ModelsCode1
Center Focusing Network for Real-Time LiDAR Panoptic SegmentationCode1
Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image SegmentationCode1
Investigate Indistinguishable Points in Semantic Segmentation of 3D Point CloudCode1
CMU-Net: A Strong ConvMixer-based Medical Ultrasound Image Segmentation NetworkCode1
CenterMask: Real-Time Anchor-Free Instance SegmentationCode1
A persistent homology-based topological loss for CNN-based multi-class segmentation of CMRCode1
Decoupling Zero-Shot Semantic SegmentationCode1
CMUNeXt: An Efficient Medical Image Segmentation Network based on Large Kernel and Skip FusionCode1
CMT-DeepLab: Clustering Mask Transformers for Panoptic SegmentationCode1
A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRICode1
MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image SegmentationCode1
Interfacing Foundation Models' EmbeddingsCode1
Complementary consistency semi-supervised learning for 3D left atrial image segmentationCode1
Deep ContourFlow: Advancing Active Contours with Deep LearningCode1
CeyMo: See More on Roads -- A Novel Benchmark Dataset for Road Marking DetectionCode1
CMDA: Cross-Modality Domain Adaptation for Nighttime Semantic SegmentationCode1
MaskCLIP++: A Mask-Based CLIP Fine-tuning Framework for Open-Vocabulary Image SegmentationCode1
Interactive Video Object Segmentation Using Global and Local Transfer ModulesCode1
Clustering Propagation for Universal Medical Image SegmentationCode1
CLUSTSEG: Clustering for Universal SegmentationCode1
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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