SOTAVerified

Segmentation

Papers

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Showing 5851–5900 of 13072 papers

TitleStatusHype
Anomaly-Aware Semantic Segmentation via Style-Aligned OoD Augmentation—0
EAVL: Explicitly Align Vision and Language for Referring Image Segmentation—0
ResQ: Residual Quantization for Video Perception—0
Video-Instrument Synergistic Network for Referring Video Instrument Segmentation in Robotic Surgery—0
Microscopy Image Segmentation via Point and Shape Regularized Data SynthesisCode0
A review of technical factors to consider when designing neural networks for semantic segmentation of Earth Observation imagery—0
SAMedOCT: Adapting Segment Anything Model (SAM) for Retinal OCT—0
Can ultrasound confidence maps predict sonographers' labeling variability?Code0
Metadata Improves Segmentation Through Multitasking ElicitationCode0
LesionMix: A Lesion-Level Data Augmentation Method for Medical Image SegmentationCode0
Learning to In-paint: Domain Adaptive Shape Completion for 3D Organ Segmentation—0
Eosinophils Instance Object Segmentation on Whole Slide Imaging Using Multi-label Circle RepresentationCode0
ECPC-IDS:A benchmark endometrail cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions—0
MEDOE: A Multi-Expert Decoder and Output Ensemble Framework for Long-tailed Semantic Segmentation—0
Hierarchical Uncertainty Estimation for Medical Image Segmentation Networks—0
Globe230k: A Benchmark Dense-Pixel Annotation Dataset for Global Land Cover Mapping—0
GAEI-UNet: Global Attention and Elastic Interaction U-Net for Vessel Image Segmentation—0
CARE: A Large Scale CT Image Dataset and Clinical Applicable Benchmark Model for Rectal Cancer Segmentation—0
AATCT-IDS: A Benchmark Abdominal Adipose Tissue CT Image Dataset for Image Denoising, Semantic Segmentation, and Radiomics Evaluation—0
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ SegmentationCode0
Confidence Contours: Uncertainty-Aware Annotation for Medical Semantic SegmentationCode0
Graph-Segmenter: Graph Transformer with Boundary-aware Attention for Semantic Segmentation—0
Visual and Textual Prior Guided Mask Assemble for Few-Shot Segmentation and Beyond—0
A deep deformable residual learning network for SAR images segmentation—0
When Deep Learning Meets Multi-Task Learning in SAR ATR: Simultaneous Target Recognition and Segmentation—0
Deepbet: Fast brain extraction of T1-weighted MRI using Convolutional Neural Networks—0
Automated Ensemble-Based Segmentation of Adult Brain Tumors: A Novel Approach Using the BraTS AFRICA Challenge Data—0
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 Transfer—0
CEmb-SAM: Segment Anything Model with Condition Embedding for Joint Learning from Heterogeneous Datasets—0
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 Volumes—0
R2S100K: Road-Region Segmentation Dataset For Semi-Supervised Autonomous Driving in the Wild—0
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 Pathology—0
From CNN to Transformer: A Review of Medical Image Segmentation Models—0
Few-shot pixel-precise document layout segmentation via dynamic instance generation and local thresholding—0
Category Feature Transformer for Semantic SegmentationCode0
The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions—0
Leverage Weakly Annotation to Pixel-wise Annotation via Zero-shot Segment Anything Model for Molecular-empowered Learning—0
Scene-Generalizable Interactive Segmentation of Radiance Fields—0
SegMatch: A semi-supervised learning method for surgical instrument segmentation—0
Assessing the performance of deep learning-based models for prostate cancer segmentation using uncertainty scores—0
Geometric Learning-Based Transformer Network for Estimation of Segmentation Errors—0
Branches Mutual Promotion for End-to-End Weakly Supervised Semantic Segmentation—0
MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation—0
Prototypical Kernel Learning and Open-set Foreground Perception for Generalized Few-shot Semantic Segmentation—0
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All datasetsSA-1B.MFSDMMFloodSimGas

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1unSAM+ (Semi-supervised)Average Precision42.8—Unverified
2SAMAverage Precision38.9—Unverified
#ModelMetricClaimedVerifiedStatus
1HNN10%20—Unverified
#ModelMetricClaimedVerifiedStatus
1ABANetF1 Score96.82—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50 + DeepLabV3+F1 score0.77—Unverified
#ModelMetricClaimedVerifiedStatus
1LangGasIoU0.69—Unverified