SOTAVerified

Segmentation

Papers

Showing 58765900 of 13072 papers

TitleStatusHype
Deepbet: Fast brain extraction of T1-weighted MRI using Convolutional Neural Networks0
Automated Ensemble-Based Segmentation of Adult Brain Tumors: A Novel Approach Using the BraTS AFRICA Challenge Data0
A Unified Query-based Paradigm for Camouflaged Instance SegmentationCode0
Large-kernel Attention for Efficient and Robust Brain Lesion SegmentationCode0
Teeth And Root Canals Segmentation Using ZXYFormer With Uncertainty Guidance And Weight Transfer0
CEmb-SAM: Segment Anything Model with Condition Embedding for Joint Learning from Heterogeneous Datasets0
Dual Meta-Learning with Longitudinally Generalized Regularization for One-Shot Brain Tissue Segmentation Across the Human LifespanCode0
Tissue Segmentation of Thick-Slice Fetal Brain MR Scans with Guidance from High-Quality Isotropic Volumes0
R2S100K: Road-Region Segmentation Dataset For Semi-Supervised Autonomous Driving in the Wild0
Spatial-information Guided Adaptive Context-aware Network for Efficient RGB-D Semantic SegmentationCode0
A Secure and Disambiguating Approach for Generative Linguistic SteganographyCode0
CATS v2: Hybrid encoders for robust medical segmentationCode0
Multi-scale Multi-site Renal Microvascular Structures Segmentation for Whole Slide Imaging in Renal Pathology0
From CNN to Transformer: A Review of Medical Image Segmentation Models0
Few-shot pixel-precise document layout segmentation via dynamic instance generation and local thresholding0
Category Feature Transformer for Semantic SegmentationCode0
The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions0
Leverage Weakly Annotation to Pixel-wise Annotation via Zero-shot Segment Anything Model for Molecular-empowered Learning0
Scene-Generalizable Interactive Segmentation of Radiance Fields0
SegMatch: A semi-supervised learning method for surgical instrument segmentation0
Assessing the performance of deep learning-based models for prostate cancer segmentation using uncertainty scores0
Geometric Learning-Based Transformer Network for Estimation of Segmentation Errors0
Branches Mutual Promotion for End-to-End Weakly Supervised Semantic Segmentation0
MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation0
Prototypical Kernel Learning and Open-set Foreground Perception for Generalized Few-shot Semantic Segmentation0
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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