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 125 of 5035 papers

TitleStatusHype
SAM 2: Segment Anything in Images and VideosCode11
Efficient MedSAMs: Segment Anything in Medical Images on LaptopCode7
Bilateral Reference for High-Resolution Dichotomous Image SegmentationCode7
U-Net v2: Rethinking the Skip Connections of U-Net for Medical Image SegmentationCode6
Unleashing the Potential of SAM2 for Biomedical Images and Videos: A SurveyCode5
SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and MoreCode5
Segment Anything for Videos: A Systematic SurveyCode5
Segment Anything Model for Medical Image Segmentation: Current Applications and Future DirectionsCode5
Faster Segment Anything: Towards Lightweight SAM for Mobile ApplicationsCode5
Track Anything: Segment Anything Meets VideosCode5
Segment AnythingCode5
Attention on the SphereCode4
Your ViT is Secretly an Image Segmentation ModelCode4
Medical SAM 2: Segment medical images as video via Segment Anything Model 2Code4
Kolmogorov-Arnold Convolutions: Design Principles and Empirical StudiesCode4
Weak-Mamba-UNet: Visual Mamba Makes CNN and ViT Work Better for Scribble-based Medical Image SegmentationCode4
Semi-Mamba-UNet: Pixel-Level Contrastive and Pixel-Level Cross-Supervised Visual Mamba-based UNet for Semi-Supervised Medical Image SegmentationCode4
Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image SegmentationCode4
VM-UNet: Vision Mamba UNet for Medical Image SegmentationCode4
SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image SegmentationCode4
LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and EditingCode4
3D TransUNet: Advancing Medical Image Segmentation through Vision TransformersCode4
Image Segmentation Keras : Implementation of Segnet, FCN, UNet, PSPNet and other models in KerasCode4
Semantic-SAM: Segment and Recognize Anything at Any GranularityCode4
The Segment Anything Model (SAM) for Remote Sensing Applications: From Zero to One ShotCode4
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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