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 26762700 of 5035 papers

TitleStatusHype
Towards Clinician-Preferred Segmentation: Leveraging Human-in-the-Loop for Test Time Adaptation in Medical Image Segmentation0
Towards Comparable Knowledge Distillation in Semantic Image Segmentation0
Towards Complex-query Referring Image Segmentation: A Novel Benchmark0
Towards Continual Universal Segmentation0
Towards Cross-modality Medical Image Segmentation with Online Mutual Knowledge Distillation0
Towards Efficient and Accurate CT Segmentation via Edge-Preserving Probabilistic Downsampling0
Towards Efficient Pixel Labeling for Industrial Anomaly Detection and Localization0
Towards Generalizable Medical Image Segmentation with Pixel-wise Uncertainty Estimation0
Towards Generalizable Referring Image Segmentation via Target Prompt and Visual Coherence0
Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI0
Towards integrating spatial localization in convolutional neural networks for brain image segmentation0
Towards Learning Food Portion From Monocular Images With Cross-Domain Feature Adaptation0
Towards Reducing Aleatoric Uncertainty for Medical Imaging Tasks0
Towards Robust Partially Supervised Multi-Structure Medical Image Segmentation on Small-Scale Data0
Towards safe deep learning: accurately quantifying biomarker uncertainty in neural network predictions0
Towards Simultaneous Segmentation of Liver Tumors and Intrahepatic Vessels via Cross-attention Mechanism0
Towards the effectiveness of Deep Convolutional Neural Network based Fast Random Forest Classifier0
Towards the Unification of Generative and Discriminative Visual Foundation Model: A Survey0
Towards Unsupervised Learning for Instrument Segmentation in Robotic Surgery with Cycle-Consistent Adversarial Networks0
Towards user-centered interactive medical image segmentation in VR with an assistive AI agent0
Toward Unpaired Multi-modal Medical Image Segmentation via Learning Structured Semantic Consistency0
TP-UNet: Temporal Prompt Guided UNet for Medical Image Segmentation0
Tracing Halpha Fibrils through Bayesian Deep Learning0
Track Any Anomalous Object:A Granular Video Anomaly Detection Pipeline0
Track, then Decide: Category-Agnostic Vision-based Multi-Object Tracking0
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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