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 12011225 of 5035 papers

TitleStatusHype
MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image SegmentationCode2
UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion SegmentationCode3
Efficient 3D Instance Mapping and Localization with Neural Fields0
Segmentation Re-thinking Uncertainty Estimation Metrics for Semantic Segmentation0
Rethinking Information Loss in Medical Image Segmentation with Various-sized Targets0
Teaching AI the Anatomy Behind the Scan: Addressing Anatomical Flaws in Medical Image Segmentation with Learnable Prior0
Deep Learning Segmentation and Classification of Red Blood Cells Using a Large Multi-Scanner Dataset0
A Quantum Fuzzy-based Approach for Real-Time Detection of Solar Coronal Holes0
Generative Medical SegmentationCode2
Unleashing the Potential of SAM for Medical Adaptation via Hierarchical DecodingCode2
Segment Any Medical Model ExtendedCode3
ReMamber: Referring Image Segmentation with Mamba TwisterCode1
Random-coupled Neural Network0
Integrating Mamba Sequence Model and Hierarchical Upsampling Network for Accurate Semantic Segmentation of Multiple Sclerosis Legion0
CT Synthesis with Conditional Diffusion Models for Abdominal Lymph Node Segmentation0
Rotate to Scan: UNet-like Mamba with Triplet SSM Module for Medical Image Segmentation0
Deep models for stroke segmentation: do complex architectures always perform better?0
Strategies to Improve Real-World Applicability of Laparoscopic Anatomy Segmentation Models0
EDUE: Expert Disagreement-Guided One-Pass Uncertainty Estimation for Medical Image Segmentation0
Clustering Propagation for Universal Medical Image SegmentationCode1
ChebMixer: Efficient Graph Representation Learning with MLP Mixer0
3D-EffiViTCaps: 3D Efficient Vision Transformer with Capsule for Medical Image SegmentationCode0
SegICL: A Multimodal In-context Learning Framework for Enhanced Segmentation in Medical Imaging0
SMTF: Sparse transformer with multiscale contextual fusion for medical image segmentationCode0
SM2C: Boost the Semi-supervised Segmentation for Medical Image by using Meta Pseudo Labels and Mixed Images0
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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