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 851900 of 5035 papers

TitleStatusHype
Challenge Summary U-MedSAM: Uncertainty-aware MedSAM for Medical Image Segmentation0
MedUHIP: Towards Human-In-the-Loop Medical Segmentation0
LAM3D: Leveraging Attention for Monocular 3D Object Detection0
Music2P: A Multi-Modal AI-Driven Tool for Simplifying Album Cover DesignCode0
Advancing Medical Image Segmentation: Morphology-Driven Learning with Diffusion TransformerCode0
Medical SAM 2: Segment medical images as video via Segment Anything Model 2Code4
SAM 2: Segment Anything in Images and VideosCode12
Segment Anything for Videos: A Systematic SurveyCode5
MaskUno: Switch-Split Block For Enhancing Instance Segmentation0
Evaluating SAM2's Role in Camouflaged Object Detection: From SAM to SAM2Code0
CC-SAM: SAM with Cross-feature Attention and Context for Ultrasound Image Segmentation0
MSA^2Net: Multi-scale Adaptive Attention-guided Network for Medical Image SegmentationCode2
Adaptive Mix for Semi-Supervised Medical Image Segmentation0
Leveraging Adaptive Implicit Representation Mapping for Ultra High-Resolution Image Segmentation0
Knowledge-Guided Prompt Learning for Lifespan Brain MR Image SegmentationCode0
Enhanced Uncertainty Estimation in Ultrasound Image Segmentation with MSU-Net0
DDU-Net: A Domain Decomposition-Based CNN for High-Resolution Image Segmentation on Multiple GPUsCode0
Robust Box Prompt based SAM for Medical Image Segmentation0
Distribution-Aware Replay for Continual MRI Segmentation0
Dense Self-Supervised Learning for Medical Image Segmentation0
Segmenting Fetal Head with Efficient Fine-tuning Strategies in Low-resource Settings: an empirical study with U-Net0
Robust Conformal Volume Estimation in 3D Medical ImagesCode0
Channel Boosted CNN-Transformer-based Multi-Level and Multi-Scale Nuclei Segmentation0
Few-Shot Medical Image Segmentation with Large Kernel Attention0
How good nnU-Net for Segmenting Cardiac MRI: A Comprehensive Evaluation0
Three-dimensional ultrasound-based online system for automated ovarian follicle measurement0
Local Binary Pattern(LBP) Optimization for Feature Extraction0
RefMask3D: Language-Guided Transformer for 3D Referring SegmentationCode2
CSWin-UNet: Transformer UNet with Cross-Shaped Windows for Medical Image SegmentationCode1
Topology-Preserving Downsampling of Binary ImagesCode0
Segmentation by registration-enabled SAM prompt engineering using five reference imagesCode0
Image Segmentation via Divisive Normalization: dealing with environmental diversity0
Trans2Unet: Neural fusion for Nuclei Semantic Segmentation0
EffiSegNet: Gastrointestinal Polyp Segmentation through a Pre-Trained EfficientNet-based Network with a Simplified DecoderCode1
Navigating Uncertainty in Medical Image Segmentation0
FDiff-Fusion:Denoising diffusion fusion network based on fuzzy learning for 3D medical image segmentation0
MedSAGa: Few-shot Memory Efficient Medical Image Segmentation using Gradient Low-Rank Projection in SAM0
PASSION: Towards Effective Incomplete Multi-Modal Medical Image Segmentation with Imbalanced Missing RatesCode1
ESP-MedSAM: Efficient Self-Prompting SAM for Universal Domain-Generalized Medical Image SegmentationCode2
EmoCAM: Toward Understanding What Drives CNN-based Emotion Recognition0
ViLLa: Video Reasoning Segmentation with Large Language ModelCode1
Lightweight Uncertainty Quantification with Simplex Semantic Segmentation for Terrain Traversability0
Applying Conditional Generative Adversarial Networks for Imaging Diagnosis0
Data-driven Verification of DNNs for Object Recognition0
Latent Diffusion for Medical Image Segmentation: End to end learning for fast sampling and accuracyCode1
FastSAM-3DSlicer: A 3D-Slicer Extension for 3D Volumetric Segment Anything Model with Uncertainty QuantificationCode1
The Devil is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image SegmentationCode1
LoRA-PT: Low-Rank Adapting UNETR for Hippocampus Segmentation Using Principal Tensor Singular Values and VectorsCode0
Efficient In-Context Medical Segmentation with Meta-driven Visual Prompt Selection0
Joint-Embedding Predictive Architecture for Self-Supervised Learning of Mask Classification Architecture0
Show:102550
← PrevPage 18 of 101Next →

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