SOTAVerified

Segmentation

Papers

Showing 13011325 of 13072 papers

TitleStatusHype
An Accelerated Pipeline for Multi-label Renal Pathology Image Segmentation at the Whole Slide Image LevelCode1
VDD: Varied Drone Dataset for Semantic SegmentationCode1
Weakly Supervised 3D Open-vocabulary SegmentationCode1
UVOSAM: A Mask-free Paradigm for Unsupervised Video Object Segmentation via Segment Anything ModelCode1
Semantic-Promoted Debiasing and Background Disambiguation for Zero-Shot Instance SegmentationCode1
HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic SegmentationCode1
When SAM Meets Shadow DetectionCode1
Syllable Discovery and Cross-Lingual Generalization in a Visually Grounded, Self-Supervised Speech ModelCode1
JetSeg: Efficient Real-Time Semantic Segmentation Model for Low-Power GPU-Embedded SystemsCode1
Object Segmentation by Mining Cross-Modal SemanticsCode1
One-Prompt to Segment All Medical ImagesCode1
AdaMSS: Adaptive Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT ImagesCode1
Multi-Level Global Context Cross Consistency Model for Semi-Supervised Ultrasound Image Segmentation with Diffusion ModelCode1
Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing FlowCode1
MaxViT-UNet: Multi-Axis Attention for Medical Image SegmentationCode1
Not All Pixels Are Equal: Learning Pixel Hardness for Semantic SegmentationCode1
Meta-Polyp: a baseline for efficient Polyp segmentationCode1
Music Rearrangement Using Hierarchical SegmentationCode1
FreePoint: Unsupervised Point Cloud Instance SegmentationCode1
Scan2LoD3: Reconstructing semantic 3D building models at LoD3 using ray casting and Bayesian networksCode1
Self-supervised dense representation learning for live-cell microscopy with time arrow predictionCode1
VCSUM: A Versatile Chinese Meeting Summarization DatasetCode1
Echo from noise: synthetic ultrasound image generation using diffusion models for real image segmentationCode1
SwinDocSegmenter: An End-to-End Unified Domain Adaptive Transformer for Document Instance SegmentationCode1
AdaptiveClick: Clicks-aware Transformer with Adaptive Focal Loss for Interactive Image 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