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 1451–1500 of 5035 papers

TitleStatusHype
ExtremeMETA: High-speed Lightweight Image Segmentation Model by Remodeling Multi-channel Metamaterial Imagers—0
Face Mask Extraction in Video Sequence—0
Cats: Complementary CNN and Transformer Encoders for Segmentation—0
The Butterfly Effect in Primary Visual Cortex—0
Cataract influence on iris recognition performance—0
A Novel Mask R-CNN Model to Segment Heterogeneous Brain Tumors through Image Subtraction—0
Adversarial training and dilated convolutions for brain MRI segmentation—0
Catalyzing Clinical Diagnostic Pipelines Through Volumetric Medical Image Segmentation Using Deep Neural Networks: Past, Present, & Future—0
A Novel Hybrid Parameter-Efficient Fine-Tuning Approach for Hippocampus Segmentation and Alzheimer's Disease Diagnosis—0
A novel framework of the fuzzy c-means distances problem based weighted distance—0
CASSOD-Net: Cascaded and Separable Structures of Dilated Convolution for Embedded Vision Systems and Applications—0
Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation—0
A Clustering Method Based on Information Entropy Payload—0
Extracting the Subhalo Mass Function from Strong Lens Images with Image Segmentation—0
Cascade Decoder: A Universal Decoding Method for Biomedical Image Segmentation—0
Cascaded Classification Models: Combining Models for Holistic Scene Understanding—0
Adversarial normalization for multi domain image segmentation—0
Cartoon-texture evolution for two-region image segmentation—0
Car Segmentation and Pose Estimation using 3D Object Models—0
A Novel Falling-Ball Algorithm for Image Segmentation—0
3D Medical Imaging Segmentation on Non-Contrast CT—0
A Novel Extension to Fuzzy Connectivity for Body Composition Analysis: Applications in Thigh, Brain, and Whole Body Tissue Segmentation—0
Cardiac Segmentation on CT Images through Shape-Aware Contour Attentions—0
Extensions of Karger's Algorithm: Why They Fail in Theory and How They Are Useful in Practice—0
Extracting Semantic Knowledge from GANs with Unsupervised Learning—0
Factorized Diffusion Architectures for Unsupervised Image Generation and Segmentation—0
Fast Constraint Propagation for Image Segmentation—0
CardiacNET: Segmentation of Left Atrium and Proximal Pulmonary Veins from MRI Using Multi-View CNN—0
Cardiac MR Image Segmentation Techniques: an overview—0
A Novel Domain Adaptation Framework for Medical Image Segmentation—0
Cardiac MRI Image Segmentation for Left Ventricle and Right Ventricle using Deep Learning—0
Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis—0
A Novel Distance-Based Metric for Quality Assessment in Image Segmentation—0
Adversarial Mutual Leakage Network for Cell Image Segmentation—0
Capsules for Biomedical Image Segmentation—0
A Novel Convolutional-Free Method for 3D Medical Imaging Segmentation—0
CapsNet for Medical Image Segmentation—0
Can we unify monocular detectors for autonomous driving by using the pixel-wise semantic segmentation of CNNs?—0
A Novel CNN-LSTM-based Approach to Predict Urban Expansion—0
Adversarial Examples for Semantic Image Segmentation—0
A Classifier-guided Approach for Top-down Salient Object Detection—0
Can segmentation models be trained with fully synthetically generated data?—0
Can SAM recognize crops? Quantifying the zero-shot performance of a semantic segmentation foundation model on generating crop-type maps using satellite imagery for precision agriculture—0
A Novel Automated Classification and Segmentation for COVID-19 using 3D CT Scans—0
A Novel Approach Towards Clustering Based Image Segmentation—0
Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation—0
Candidate Constrained CRFs for Loss-Aware Structured Prediction—0
Can a single image processing algorithm work equally well across all phases of DCE-MRI?—0
Adversarial Attack Driven Data Augmentation for Accurate And Robust Medical Image Segmentation—0
CAN3D: Fast 3D Medical Image Segmentation via Compact Context Aggregation—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