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
MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained on a Large-Scale Unannotated DatasetCode2
RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation ModelCode2
MedLSAM: Localize and Segment Anything Model for 3D CT ImagesCode2
3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentationCode2
SAM3D: Zero-Shot 3D Object Detection via Segment Anything ModelCode2
Contextual Object Detection with Multimodal Large Language ModelsCode2
SSSegmenation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorchCode2
Bidirectional Copy-Paste for Semi-Supervised Medical Image SegmentationCode2
EasyPortrait -- Face Parsing and Portrait Segmentation DatasetCode2
Customized Segment Anything Model for Medical Image SegmentationCode2
Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image SegmentationCode2
UniverSeg: Universal Medical Image SegmentationCode2
SAMM (Segment Any Medical Model): A 3D Slicer Integration to SAMCode2
Unifying and Personalizing Weakly-supervised Federated Medical Image Segmentation via Adaptive Representation and AggregationCode2
Ambiguous Medical Image Segmentation using Diffusion ModelsCode2
CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic SegmentationCode2
M^2SNet: Multi-scale in Multi-scale Subtraction Network for Medical Image SegmentationCode2
MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image SegmentationCode2
Unleashing Text-to-Image Diffusion Models for Visual PerceptionCode2
Deep Incubation: Training Large Models by Divide-and-ConqueringCode2
UNETR++: Delving into Efficient and Accurate 3D Medical Image SegmentationCode2
Medical Image Segmentation Review: The success of U-NetCode2
SimpleClick: Interactive Image Segmentation with Simple Vision TransformersCode2
3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image SegmentationCode2
Understanding the Tricks of Deep Learning in Medical Image Segmentation: Challenges and Future DirectionsCode2
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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