SOTAVerified

Segmentation

Papers

Showing 801825 of 13072 papers

TitleStatusHype
Unified Domain Adaptive Semantic SegmentationCode1
A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and ProtocolsCode1
Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRACode1
Delving Deeper into Anti-aliasing in ConvNetsCode1
Benchmarking Segmentation Models with Mask-Preserved Attribute EditingCode1
Automated freezing of gait assessment with marker-based motion capture and multi-stage spatial-temporal graph convolutional neural networksCode1
A Contrastive Distillation Approach for Incremental Semantic Segmentation in Aerial ImagesCode1
AlignSAM: Aligning Segment Anything Model to Open Context via Reinforcement LearningCode1
AlignSeg: Feature-Aligned Segmentation NetworksCode1
Benefit from public unlabeled data: A Frangi filtering-based pretraining network for 3D cerebrovascular segmentationCode1
A Likelihood Ratio-Based Approach to Segmenting Unknown ObjectsCode1
Betrayed by Attention: A Simple yet Effective Approach for Self-supervised Video Object SegmentationCode1
Betrayed by Captions: Joint Caption Grounding and Generation for Open Vocabulary Instance SegmentationCode1
DAN: a Segmentation-free Document Attention Network for Handwritten Document RecognitionCode1
Data Efficient 3D Learner via Knowledge Transferred from 2D ModelCode1
Alleviating Over-segmentation Errors by Detecting Action BoundariesCode1
DA-TransUNet: Integrating Spatial and Channel Dual Attention with Transformer U-Net for Medical Image SegmentationCode1
Beyond Appearances: Material Segmentation with Embedded Spectral Information from RGB-D imageryCode1
UVO Challenge on Video-based Open-World Segmentation 2021: 1st Place SolutionCode1
All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D SegmentationCode1
All you need are a few pixels: semantic segmentation with PixelPickCode1
Beyond Point Annotation: A Weakly Supervised Network Guided by Multi-Level Labels Generated from Four-Point Annotation for Thyroid Nodule Segmentation in Ultrasound ImageCode1
BFANet: Revisiting 3D Semantic Segmentation with Boundary Feature AnalysisCode1
BHSD: A 3D Multi-Class Brain Hemorrhage Segmentation DatasetCode1
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