SOTAVerified

Image Segmentation

Image Segmentation is a computer vision task that involves dividing an image into multiple segments or regions, each of which corresponds to a different object or part of an object. The goal of image segmentation is to assign a unique label or category to each pixel in the image, so that pixels with similar attributes are grouped together.

Papers

Showing 41514175 of 5035 papers

TitleStatusHype
MIScnn: A Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep LearningCode0
Meta-Learners for Few-Shot Weakly-Supervised Medical Image SegmentationCode0
Memory-efficient Segmentation of High-resolution Volumetric MicroCT ImagesCode0
Memorizing SAM: 3D Medical Segment Anything Model with Memorizing TransformerCode0
MELAGE: A purely python based Neuroimaging software (Neonatal)Code0
Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum SynthesisCode0
Medical Image Segmentation Using Directional Window AttentionCode0
Medical Image Segmentation Using Deep Learning: A SurveyCode0
MedCL: Learning Consistent Anatomy Distribution for Scribble-supervised Medical Image SegmentationCode0
SAM-aware Test-time Adaptation for Universal Medical Image SegmentationCode0
SAM Carries the Burden: A Semi-Supervised Approach Refining Pseudo Labels for Medical SegmentationCode0
Estimating Appearance Models for Image Segmentation via Tensor FactorizationCode0
ERNet: Unsupervised Collective Extraction and Registration in Neuroimaging DataCode0
Entropy-based measure of rock sample heterogeneity derived from micro-CT imagesCode0
When Segmentation Meets Hyperspectral Image: New Paradigm for Hyperspectral Image ClassificationCode0
SwIPE: Efficient and Robust Medical Image Segmentation with Implicit Patch EmbeddingsCode0
Enhancing Weakly-Supervised Histopathology Image Segmentation with Knowledge Distillation on MIL-Based Pseudo-LabelsCode0
UCloudNet: A Residual U-Net with Deep Supervision for Cloud Image SegmentationCode0
Attention Normalization Impacts Cardinality Generalization in Slot AttentionCode0
Enhancing pretraining efficiency for medical image segmentation via transferability metricsCode0
MedAI: Transparency in Medical Image SegmentationCode0
MDN: Mamba-Driven Dualstream Network For Medical Hyperspectral Image SegmentationCode0
SAM-I-Am: Semantic Boosting for Zero-shot Atomic-Scale Electron Micrograph SegmentationCode0
Enhancing Incomplete Multi-modal Brain Tumor Segmentation with Intra-modal Asymmetry and Inter-modal DependencyCode0
Attention-Guided Residual U-Net with SE Connection and ASPP for Watershed-Based Cell Segmentation in Microscopy ImagesCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SAM2-UNetIoU0.92Unverified
2HetNetIoU0.83Unverified
3PMDIoU0.82Unverified
4SANetIoU0.8Unverified
5MirrorNetIoU0.79Unverified
#ModelMetricClaimedVerifiedStatus
1SAM2-UNetIoU0.73Unverified
2HetNetIoU0.69Unverified
3SANetIoU0.67Unverified
4PMDIoU0.66Unverified
5MirrorNetIoU0.59Unverified
#ModelMetricClaimedVerifiedStatus
1SAM2-UNetmIoU0.8Unverified
2MAS-SAMmIoU0.79Unverified
3MASNetmIoU0.74Unverified
4ZoomNetmIoU0.74Unverified
#ModelMetricClaimedVerifiedStatus
1HIPIE (ViT-H)mIoUPartS63.8Unverified
2PPSmIoUPartS58.6Unverified
3HIPIE (ResNet-50)mIoUPartS57.2Unverified
4JPPFmIoUPartS54.4Unverified
#ModelMetricClaimedVerifiedStatus
1MAS-SAMmIoU0.74Unverified
2SAM2-UNetmIoU0.74Unverified
3MASNetmIoU0.73Unverified
4ZoomNetmIoU0.73Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4-CmIoU63.6Unverified
2OneNete,4-SmAP0.552.75Unverified
3OneNeted,4mIoU14.9Unverified
#ModelMetricClaimedVerifiedStatus
1UNetRDice0.98Unverified
2PALEDDice0.98Unverified
#ModelMetricClaimedVerifiedStatus
1ResAttUNetIoU0.67Unverified
2UNetIoU0.57Unverified
#ModelMetricClaimedVerifiedStatus
1SynCo (ResNet-50) 200epmask AP35.4Unverified
#ModelMetricClaimedVerifiedStatus
1MobileOne-S0GFLOPs0.28Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4mIoU6.6Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4-CDice Score0.97Unverified