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 501525 of 5035 papers

TitleStatusHype
ConDSeg: A General Medical Image Segmentation Framework via Contrast-Driven Feature EnhancementCode2
Lightweight Method for Interactive 3D Medical Image Segmentation with Multi-Round Result FusionCode0
Annotation-Efficient Task Guidance for Medical Segment AnythingCode0
Utilizing Multi-step Loss for Single Image Reflection RemovalCode0
Structured IB: Improving Information Bottleneck with Structured Feature Learning0
Intelligent Control of Robotic X-ray Devices using a Language-promptable Digital Twin0
A Generative Victim Model for Segmentation0
BATseg: Boundary-aware Multiclass Spinal Cord Tumor Segmentation on 3D MRI Scans0
[MASK] is All You NeedCode0
MSCrackMamba: Leveraging Vision Mamba for Crack Detection in Fused Multispectral Imagery0
Knowledge Transfer and Domain Adaptation for Fine-Grained Remote Sensing Image SegmentationCode1
DenseVLM: A Retrieval and Decoupled Alignment Framework for Open-Vocabulary Dense Prediction0
A Lightweight U-like Network Utilizing Neural Memory Ordinary Differential Equations for Slimming the DecoderCode0
How Certain are Uncertainty Estimates? Three Novel Earth Observation Datasets for Benchmarking Uncertainty Quantification in Machine Learning0
Dilated Balanced Cross Entropy Loss for Medical Image Segmentation0
MCP-MedSAM: A Powerful Lightweight Medical Segment Anything Model Trained with a Single GPU in Just One DayCode1
UNet++ and LSTM combined approach for Breast Ultrasound Image Segmentation0
From Deterministic to Probabilistic: A Novel Perspective on Domain Generalization for Medical Image Segmentation0
RefSAM3D: Adapting SAM with Cross-modal Reference for 3D Medical Image Segmentation0
Osteoporosis Prediction from Hand X-ray Images Using Segmentation-for-Classification and Self-Supervised Learning0
Unsupervised Segmentation by Diffusing, Walking and Cutting0
Using Diffusion Priors for Video Amodal Segmentation0
Mask-Adapter: The Devil is in the Masks for Open-Vocabulary SegmentationCode2
Exploring Fully Convolutional Networks for the Segmentation of Hyperspectral Imaging Applied to Advanced Driver Assistance Systems0
Structure-Aware Stylized Image Synthesis for Robust Medical Image SegmentationCode0
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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