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 626650 of 5035 papers

TitleStatusHype
ForkGAN: Seeing into the Rainy NightCode1
Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image SegmentationCode1
Open-vocabulary Object Segmentation with Diffusion ModelsCode1
Automatic Foot Ulcer Segmentation Using an Ensemble of Convolutional Neural NetworksCode1
Harmonizing Pathological and Normal Pixels for Pseudo-healthy SynthesisCode1
FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image SegmentationCode1
From Denoising Training to Test-Time Adaptation: Enhancing Domain Generalization for Medical Image SegmentationCode1
Contextual Attention Network: Transformer Meets U-NetCode1
Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image SegmentationCode1
FocusCut: Diving Into a Focus View in Interactive SegmentationCode1
Local Label Point Correction for Edge Detection of Overlapping Cervical CellsCode1
Adapting Pre-trained Vision Transformers from 2D to 3D through Weight Inflation Improves Medical Image SegmentationCode1
Continual Learning for Image Segmentation with Dynamic QueryCode1
Focused and Collaborative Feedback Integration for Interactive Image SegmentationCode1
CauSSL: Causality-inspired Semi-supervised Learning for Medical Image SegmentationCode1
Contrastive Semi-supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical StructuresCode1
Contrastive Registration for Unsupervised Medical Image SegmentationCode1
HistoSeg : Quick attention with multi-loss function for multi-structure segmentation in digital histology imagesCode1
CC-Net: Image Complexity Guided Network Compression for Biomedical Image SegmentationCode1
Focus on Query: Adversarial Mining Transformer for Few-Shot SegmentationCode1
ConvFormer: Plug-and-Play CNN-Style Transformers for Improving Medical Image SegmentationCode1
Adaptive t-vMF Dice Loss for Multi-class Medical Image SegmentationCode1
CAMS: Convolution and Attention-Free Mamba-based Cardiac Image SegmentationCode1
A Unified Framework for U-Net Design and AnalysisCode1
CausalCLIPSeg: Unlocking CLIP's Potential in Referring Medical Image Segmentation with Causal InterventionCode1
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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