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

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Showing 3101–3150 of 5035 papers

TitleStatusHype
RemInD: Remembering Anatomical Variations for Interpretable Domain Adaptive Medical Image Segmentation—0
Remote sensing colour image semantic segmentation of trails created by large herbivorous Mammals—0
Remote Sensing Image Segmentation Using Vision Mamba and Multi-Scale Multi-Frequency Feature Fusion—0
Remove Appearance Shift for Ultrasound Image Segmentation via Fast and Universal Style Transfer—0
Renal digital pathology visual knowledge search platform based on language large model and book knowledge—0
Repurposing Stable Diffusion Attention for Training-Free Unsupervised Interactive Segmentation—0
RESAnything: Attribute Prompting for Arbitrary Referring Segmentation—0
Research on Improved U-net Based Remote Sensing Image Segmentation Algorithm—0
Research on Tumors Segmentation based on Image Enhancement Method—0
ResEnsemble-DDPM: Residual Denoising Diffusion Probabilistic Models for Ensemble Learning—0
ResFeats: Residual Network Based Features for Image Classification—0
Residual Connection Networks in Medical Image Processing: Exploration of ResUnet++ Model Driven by Human Computer Interaction—0
Residual-driven Fuzzy C-Means Clustering for Image Segmentation—0
Residual Moment Loss for Medical Image Segmentation—0
Residual-Sparse Fuzzy C-Means Clustering Incorporating Morphological Reconstruction and Wavelet frames—0
RESMatch: Referring Expression Segmentation in a Semi-Supervised Manner—0
Resolving Inconsistent Semantics in Multi-Dataset Image Segmentation—0
Resource Optimized Neural Architecture Search for 3D Medical Image Segmentation—0
ReSTR: Convolution-free Referring Image Segmentation Using Transformers—0
Rethinking Client Reweighting for Selfish Federated Learning—0
Rethinking domain generalization in medical image segmentation: One image as one domain—0
Rethinking Early-Fusion Strategies for Improved Multimodal Image Segmentation—0
Rethinking Exemplars for Continual Semantic Segmentation in Endoscopy Scenes: Entropy-based Mini-Batch Pseudo-Replay—0
Rethinking Few-Shot Medical Image Segmentation by SAM2: A Training-Free Framework with Augmentative Prompting and Dynamic Matching—0
Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation—0
Rethinking Information Loss in Medical Image Segmentation with Various-sized Targets—0
Rethinking U-net Skip Connections for Biomedical Image Segmentation—0
Rethinking Video Segmentation with Masked Video Consistency: Did the Model Learn as Intended?—0
Retinal Image Segmentation with a Structure-Texture Demixing Network—0
Retinal Image Segmentation with Small Datasets—0
Retinal Optic Disc Segmentation using Conditional Generative Adversarial Network—0
Retinal Vessel Segmentation under Extreme Low Annotation: A Generative Adversarial Network Approach—0
Retinal Vessel Segmentation with Deep Graph and Capsule Reasoning—0
Retrieval-augmented Few-shot Medical Image Segmentation with Foundation Models—0
Retrieval-Enhanced Visual Prompt Learning for Few-shot Classification—0
Retrieval Instead of Fine-tuning: A Retrieval-based Parameter Ensemble for Zero-shot Learning—0
Reversible Image Merging for Low-level Machine Vision—0
Review of Fruit Tree Image Segmentation—0
Review on Panoramic Imaging and Its Applications in Scene Understanding—0
Revisiting Graph Construction for Fast Image Segmentation—0
Revisiting MAE pre-training for 3D medical image segmentation—0
Revisiting Near/Remote Sensing with Geospatial Attention—0
Revisiting Rubik's Cube: Self-supervised Learning with Volume-wise Transformation for 3D Medical Image Segmentation—0
Rewards-based image analysis in microscopy—0
ReXplain: Translating Radiology into Patient-Friendly Video Reports—0
RFC-Net: Learning High Resolution Global Features for Medical Image Segmentation on a Computational Budget—0
RFMedSAM 2: Automatic Prompt Refinement for Enhanced Volumetric Medical Image Segmentation with SAM 2—0
RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models—0
Extending CLIP's Image-Text Alignment to Referring Image Segmentation—0
Risk-Aware Planning by Confidence Estimation using Deep Learning-Based Perception—0
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All datasetsMSD (Mirror Segmentation Dataset)PMDMAS3KPascal Panoptic PartsRMASPASCAL VOCHuTu 80MARIDACOCO val2017ImageNetMSD HeartOxfordPets

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SAM2-UNetIoU0.92—Unverified
2HetNetIoU0.83—Unverified
3PMDIoU0.82—Unverified
4SANetIoU0.8—Unverified
5MirrorNetIoU0.79—Unverified
#ModelMetricClaimedVerifiedStatus
1SAM2-UNetIoU0.73—Unverified
2HetNetIoU0.69—Unverified
3SANetIoU0.67—Unverified
4PMDIoU0.66—Unverified
5MirrorNetIoU0.59—Unverified
#ModelMetricClaimedVerifiedStatus
1SAM2-UNetmIoU0.8—Unverified
2MAS-SAMmIoU0.79—Unverified
3MASNetmIoU0.74—Unverified
4ZoomNetmIoU0.74—Unverified
#ModelMetricClaimedVerifiedStatus
1HIPIE (ViT-H)mIoUPartS63.8—Unverified
2PPSmIoUPartS58.6—Unverified
3HIPIE (ResNet-50)mIoUPartS57.2—Unverified
4JPPFmIoUPartS54.4—Unverified
#ModelMetricClaimedVerifiedStatus
1MAS-SAMmIoU0.74—Unverified
2SAM2-UNetmIoU0.74—Unverified
3MASNetmIoU0.73—Unverified
4ZoomNetmIoU0.73—Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4-CmIoU63.6—Unverified
2OneNete,4-SmAP0.552.75—Unverified
3OneNeted,4mIoU14.9—Unverified
#ModelMetricClaimedVerifiedStatus
1UNetRDice0.98—Unverified
2PALEDDice0.98—Unverified
#ModelMetricClaimedVerifiedStatus
1ResAttUNetIoU0.67—Unverified
2UNetIoU0.57—Unverified
#ModelMetricClaimedVerifiedStatus
1SynCo (ResNet-50) 200epmask AP35.4—Unverified
#ModelMetricClaimedVerifiedStatus
1MobileOne-S0GFLOPs0.28—Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4mIoU6.6—Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4-CDice Score0.97—Unverified