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 201225 of 5035 papers

TitleStatusHype
PyMIC: A deep learning toolkit for annotation-efficient medical image segmentationCode2
LViT: Language meets Vision Transformer in Medical Image SegmentationCode2
Diffusion models as plug-and-play priorsCode2
MobileOne: An Improved One millisecond Mobile BackboneCode2
FocalClick: Towards Practical Interactive Image SegmentationCode2
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with TransformersCode2
UNeXt: MLP-based Rapid Medical Image Segmentation NetworkCode2
A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and BenchmarkCode2
TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of Medical ImagesCode2
Language-driven Semantic SegmentationCode2
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI ImagesCode2
Mask2Former for Video Instance SegmentationCode2
Masked-attention Mask Transformer for Universal Image SegmentationCode2
Open-World Entity SegmentationCode2
Transformer Meets Convolution: A Bilateral Awareness Network for Semantic Segmentation of Very Fine Resolution Urban Scene ImagesCode2
Full Page Handwriting Recognition via Image to Sequence ExtractionCode2
TransUNet: Transformers Make Strong Encoders for Medical Image SegmentationCode2
Boundary-Aware Segmentation Network for Mobile and Web ApplicationsCode2
Distribution-Free, Risk-Controlling Prediction SetsCode2
Segmentation Loss OdysseyCode2
The Lovász-Softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networksCode2
U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKVCode1
Rethinking Query-based Transformer for Continual Image SegmentationCode1
RSRefSeg 2: Decoupling Referring Remote Sensing Image Segmentation with Foundation ModelsCode1
SAMed-2: Selective Memory Enhanced Medical Segment Anything ModelCode1
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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