SOTAVerified

Segmentation

Papers

Showing 926950 of 13072 papers

TitleStatusHype
Classification Drives Geographic Bias in Street Scene Segmentation0
Hyper-Fusion Network for Semi-Automatic Segmentation of Skin Lesions0
DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian SplattingCode1
SegHeD+: Segmentation of Heterogeneous Data for Multiple Sclerosis Lesions with Anatomical Constraints and Lesion-aware Augmentation0
QSM-RimDS: A detection and segmentation tool for paramagnetic rim lesions in multiple sclerosis0
Ultra-High Resolution Segmentation via Boundary-Enhanced Patch-Merging Transformer0
SuperGSeg: Open-Vocabulary 3D Segmentation with Structured Super-Gaussians0
SPT: Sequence Prompt Transformer for Interactive Image Segmentation0
ViCaS: A Dataset for Combining Holistic and Pixel-level Video Understanding using Captions with Grounded Segmentation0
On the effectiveness of Rotation-Equivariance in U-Net: A Benchmark for Image Segmentation0
FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image SegmentationCode2
VLMs meet UDA: Boosting Transferability of Open Vocabulary Segmentation with Unsupervised Domain Adaptation0
Towards Open-Vocabulary Video Semantic SegmentationCode1
Multi-Stage Segmentation and Cascade Classification Methods for Improving Cardiac MRI Analysis0
A feature refinement module for light-weight semantic segmentation network0
EOV-Seg: Efficient Open-Vocabulary Panoptic SegmentationCode1
Annotation-Efficient Task Guidance for Medical Segment AnythingCode0
How to select slices for annotation to train best-performing deep learning segmentation models for cross-sectional medical images?0
Lightweight Method for Interactive 3D Medical Image Segmentation with Multi-Round Result FusionCode0
SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp SegmentationCode1
A Deep Semantic Segmentation Network with Semantic and Contextual Refinements0
DAKD: Data Augmentation and Knowledge Distillation using Diffusion Models for SAR Oil Spill Segmentation0
Unified HT-CNNs Architecture: Transfer Learning for Segmenting Diverse Brain Tumors in MRI from Gliomas to Pediatric Tumors0
CrackESS: A Self-Prompting Crack Segmentation System for Edge Devices0
QCResUNet: Joint Subject-level and Voxel-level Segmentation Quality PredictionCode0
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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