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 826850 of 5035 papers

TitleStatusHype
Perspectives: Comparison of Deep Learning Segmentation Models on Biophysical and Biomedical DataCode0
Prompt-Based Segmentation at Multiple Resolutions and Lighting Conditions using Segment Anything Model 20
S-SAM: SVD-based Fine-Tuning of Segment Anything Model for Medical Image SegmentationCode1
Wavelet based inpainting detection0
Diffuse-UDA: Addressing Unsupervised Domain Adaptation in Medical Image Segmentation with Appearance and Structure Aligned Diffusion Models0
Correlation Weighted Prototype-based Self-Supervised One-Shot Segmentation of Medical Images0
Hyperbolic Learning with Multimodal Large Language Models0
GuidedNet: Semi-Supervised Multi-Organ Segmentation via Labeled Data Guide Unlabeled DataCode1
Novel adaptation of video segmentation to 3D MRI: efficient zero-shot knee segmentation with SAM20
SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and MoreCode5
Is SAM 2 Better than SAM in Medical Image Segmentation?0
Quantifying the Impact of Population Shift Across Age and Sex for Abdominal Organ Segmentation0
Performance and Non-adversarial Robustness of the Segment Anything Model 2 in Surgical Video Segmentation0
How Well Can Vision Language Models See Image Details?0
Distillation Learning Guided by Image Reconstruction for One-Shot Medical Image SegmentationCode0
Path-SAM2: Transfer SAM2 for digital pathology semantic segmentationCode1
Post-Mortem Human Iris Segmentation Analysis with Deep Learning0
Biomedical Image Segmentation: A Systematic Literature Review of Deep Learning Based Object Detection Methods0
Biomedical SAM 2: Segment Anything in Biomedical Images and VideosCode0
DaCapo: a modular deep learning framework for scalable 3D image segmentationCode2
Segmentation Style Discovery: Application to Skin Lesion ImagesCode0
Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image SegmentationCode0
Interactive 3D Medical Image Segmentation with SAM 2Code1
Cross Pseudo Supervision Framework for Sparsely Labelled Geospatial Images0
PanicleNeRF: low-cost, high-precision in-field phenotypingof rice panicles with smartphone0
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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