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 21012125 of 5035 papers

TitleStatusHype
The Potential of Visual ChatGPT For Remote Sensing0
Medical SAM Adapter: Adapting Segment Anything Model for Medical Image SegmentationCode3
Track Anything: Segment Anything Meets VideosCode5
AutoFocusFormer: Image Segmentation off the GridCode1
Segment Anything in Medical ImagesCode4
Topology-Aware Focal Loss for 3D Image Segmentation0
PARAGRAPH2GRAPH: A GNN-based framework for layout paragraph analysisCode1
Dilated-UNet: A Fast and Accurate Medical Image Segmentation Approach using a Dilated Transformer and U-Net ArchitectureCode0
Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation ModelCode1
FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image SegmentationCode1
Deep Attention Unet: A Network Model with Global Feature Perception Ability0
Segment Anything Model for Medical Image Analysis: an Experimental StudyCode1
Realistic Data Enrichment for Robust Image Segmentation in Histopathology0
DCELANM-Net:Medical Image Segmentation based on Dual Channel Efficient Layer Aggregation Network with Learner0
Few-shot Medical Image Segmentation via Cross-Reference Transformer0
Computer-Vision Benchmark Segment-Anything Model (SAM) in Medical Images: Accuracy in 12 Datasets0
SAM Fails to Segment Anything? -- SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, Medical Image Segmentation, and MoreCode3
When SAM Meets Medical Images: An Investigation of Segment Anything Model (SAM) on Multi-phase Liver Tumor Segmentation0
Two-stage MR Image Segmentation Method for Brain Tumors based on Attention Mechanism0
Delving into Shape-aware Zero-shot Semantic SegmentationCode1
Learning to "Segment Anything" in Thermal Infrared Images through Knowledge Distillation with a Large Scale Dataset SATIRCode0
One-shot and Partially-Supervised Cell Image Segmentation Using Small Visual PromptCode0
A Survey on Few-Shot Class-Incremental Learning0
Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image SegmentationCode1
An Instance Segmentation Dataset of Yeast Cells in MicrostructuresCode1
Show:102550
← PrevPage 85 of 202Next →

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