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Segmentation

Papers

Showing 41764200 of 13072 papers

TitleStatusHype
Devil is in Channels: Contrastive Single Domain Generalization for Medical Image SegmentationCode1
ViG-UNet: Vision Graph Neural Networks for Medical Image SegmentationCode0
R-MAE: Regions Meet Masked AutoencodersCode1
Unsupervised augmentation optimization for few-shot medical image segmentation0
Neighborhood Attention Makes the Encoder of ResUNet Stronger for Accurate Road ExtractionCode1
A Task-driven Network for Mesh Classification and Semantic Part Segmentation0
Real-time GeoAI for High-resolution Mapping and Segmentation of Arctic Permafrost Features0
Channel prior convolutional attention for medical image segmentationCode1
A Novel Confidence Induced Class Activation Mapping for MRI Brain Tumor SegmentationCode0
RefineVIS: Video Instance Segmentation with Temporal Attention Refinement0
Computational Modeling of Deep Multiresolution-Fractal Texture and Its Application to Abnormal Brain Tissue Segmentation0
Multi-microphone Automatic Speech Segmentation in Meetings Based on Circular Harmonics Features0
1st Place Solution for PVUW Challenge 2023: Video Panoptic SegmentationCode1
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic SegmentationCode1
PhenoBench -- A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural DomainCode1
TEC-Net: Vision Transformer Embrace Convolutional Neural Networks for Medical Image SegmentationCode1
FoSp: Focus and Separation Network for Early Smoke SegmentationCode1
DenseDINO: Boosting Dense Self-Supervised Learning with Token-Based Point-Level Consistency0
DFormer: Diffusion-guided Transformer for Universal Image SegmentationCode1
SAM3D: Segment Anything in 3D ScenesCode3
Instructive Feature Enhancement for Dichotomous Medical Image SegmentationCode1
Curriculum-Based Augmented Fourier Domain Adaptation for Robust Medical Image SegmentationCode0
X-Align++: cross-modal cross-view alignment for Bird's-eye-view segmentation0
Conditional Diffusion Models for Weakly Supervised Medical Image SegmentationCode1
Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-LabelingCode1
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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