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 176200 of 5035 papers

TitleStatusHype
PathSeqSAM: Sequential Modeling for Pathology Image Segmentation with SAM2Code0
Multi-Modal Brain Tumor Segmentation via 3D Multi-Scale Self-attention and Cross-attention0
A Unified Loss for Handling Inter-Class and Intra-Class Imbalance in Medical Image SegmentationCode0
Do Segmentation Models Understand Vascular Structure? A Blob-Based XAI Framework0
SynthFM: Training Modality-agnostic Foundation Models for Medical Image Segmentation without Real Medical Data0
SydneyScapes: Image Segmentation for Australian Environments0
Nonlocal Retinex-Based Variational Model and its Deep Unfolding Twin for Low-Light Image Enhancement0
Conditional Conformal Risk Adaptation0
PRAD: Periapical Radiograph Analysis Dataset and Benchmark Model Development0
Zeus: Zero-shot LLM Instruction for Union Segmentation in Multimodal Medical Imaging0
CTI-Unet: Cascaded Threshold Integration for Improved U-Net Segmentation of Pathology Images0
Rethinking the Nested U-Net Approach: Enhancing Biomarker Segmentation with Attention Mechanisms and Multiscale Feature FusionCode0
HRMedSeg: Unlocking High-resolution Medical Image segmentation via Memory-efficient Attention ModelingCode1
MSA-UNet3+: Multi-Scale Attention UNet3+ with New Supervised Prototypical Contrastive Loss for Coronary DSA Image SegmentationCode0
SlicerNNInteractive: A 3D Slicer extension for nnInteractiveCode2
Explaining Uncertainty in Multiple Sclerosis Lesion Segmentation Beyond Prediction Errors0
Here Comes the Explanation: A Shapley Perspective on Multi-contrast Medical Image Segmentation0
View2CAD: Reconstructing View-Centric CAD Models from Single RGB-D Scans0
Performance Analysis of Deep Learning Models for Femur Segmentation in MRI Scan0
Multi-Granularity Vision Fastformer with Fusion Mechanism for Skin Lesion Segmentation0
Multi-encoder nnU-Net outperforms Transformer models with self-supervised pretraining0
GraphSeg: Segmented 3D Representations via Graph Edge Addition and ContractionCode0
Evaluating and Enhancing Segmentation Model Robustness with Metamorphic Testing0
Agglomerating Large Vision Encoders via Distillation for VFSS Segmentation0
SelfMedHPM: Self Pre-training With Hard Patches Mining Masked Autoencoders For Medical Image Segmentation0
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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