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 31763200 of 5035 papers

TitleStatusHype
RoMedFormer: A Rotary-Embedding Transformer Foundation Model for 3D Genito-Pelvic Structure Segmentation in MRI and CT0
Rotate to Scan: UNet-like Mamba with Triplet SSM Module for Medical Image Segmentation0
RAR-U-Net: a Residual Encoder to Attention Decoder by Residual Connections Framework for Spine Segmentation under Noisy Labels0
RRSIS: Referring Remote Sensing Image Segmentation0
RSAM-Seg: A SAM-based Approach with Prior Knowledge Integration for Remote Sensing Image Semantic Segmentation0
RSS-Net: Weakly-Supervised Multi-Class Semantic Segmentation with FMCW Radar0
S^3-TTA: Scale-Style Selection for Test-Time Augmentation in Biomedical Image Segmentation0
S4C: Self-Supervised Semantic Scene Completion with Neural Fields0
S4M: Segment Anything with 4 Extreme Points0
Safeguarding Medical Image Segmentation Datasets against Unauthorized Training via Contour- and Texture-Aware Perturbations0
SAIP-Net: Enhancing Remote Sensing Image Segmentation via Spectral Adaptive Information Propagation0
SalFAU-Net: Saliency Fusion Attention U-Net for Salient Object Detection0
Saliency-Aware Class-Agnostic Food Image Segmentation0
Saliency Can Be All You Need In Contrastive Self-Supervised Learning0
Saliency-Driven Active Contour Model for Image Segmentation0
Saliency guided deep network for weakly-supervised image segmentation0
Saliency maps on image hierarchies0
Salient Object Detection: A Discriminative Regional Feature Integration Approach0
SAM2-ELNet: Label Enhancement and Automatic Annotation for Remote Sensing Segmentation0
SAM2 for Image and Video Segmentation: A Comprehensive Survey0
SAMedOCT: Adapting Segment Anything Model (SAM) for Retinal OCT0
SAM-EG: Segment Anything Model with Egde Guidance framework for efficient Polyp Segmentation0
SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation0
Learning to Adapt SAM for Segmenting Cross-domain Point Clouds0
SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model0
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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