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 3451–3500 of 5035 papers

TitleStatusHype
BUSU-Net: An Ensemble U-Net Framework for Medical Image Segmentation—0
C^3PS: Context-aware Conditional Cross Pseudo Supervision for Semi-supervised Medical Image Segmentation—0
CAD: Confidence-Aware Adaptive Displacement for Semi-Supervised Medical Image Segmentation—0
CADFormer: Fine-Grained Cross-modal Alignment and Decoding Transformer for Referring Remote Sensing Image Segmentation—0
CaDIS: Cataract Dataset for Image Segmentation—0
CAggNet: Crossing Aggregation Network for Medical Image Segmentation—0
Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image—0
Calibrated Surrogate Maximization of Linear-fractional Utility in Binary Classification—0
Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge results—0
Calibration & Reconstruction: Deep Integrated Language for Referring Image Segmentation—0
CALICO: Part-Focused Semantic Co-Segmentation with Large Vision-Language Models—0
CAN3D: Fast 3D Medical Image Segmentation via Compact Context Aggregation—0
Can a single image processing algorithm work equally well across all phases of DCE-MRI?—0
Candidate Constrained CRFs for Loss-Aware Structured Prediction—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
Can segmentation models be trained with fully synthetically generated data?—0
Can we unify monocular detectors for autonomous driving by using the pixel-wise semantic segmentation of CNNs?—0
CapsNet for Medical Image Segmentation—0
Capsules for Biomedical Image Segmentation—0
Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis—0
Cardiac MRI Image Segmentation for Left Ventricle and Right Ventricle using Deep Learning—0
Cardiac MR Image Segmentation Techniques: an overview—0
CardiacNET: Segmentation of Left Atrium and Proximal Pulmonary Veins from MRI Using Multi-View CNN—0
Cardiac Segmentation on CT Images through Shape-Aware Contour Attentions—0
Car Segmentation and Pose Estimation using 3D Object Models—0
Cartoon-texture evolution for two-region image segmentation—0
Cascaded Classification Models: Combining Models for Holistic Scene Understanding—0
Cascade Decoder: A Universal Decoding Method for Biomedical Image Segmentation—0
Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation—0
CASSOD-Net: Cascaded and Separable Structures of Dilated Convolution for Embedded Vision Systems and Applications—0
Catalyzing Clinical Diagnostic Pipelines Through Volumetric Medical Image Segmentation Using Deep Neural Networks: Past, Present, & Future—0
Cataract influence on iris recognition performance—0
Cats: Complementary CNN and Transformer Encoders for Segmentation—0
CausalCellSegmenter: Causal Inference inspired Diversified Aggregation Convolution for Pathology Image Segmentation—0
Causality matters in medical imaging—0
Causal-SAM-LLM: Large Language Models as Causal Reasoners for Robust Medical Segmentation—0
CC-SAM: SAM with Cross-feature Attention and Context for Ultrasound Image Segmentation—0
CDSE-UNet: Enhancing COVID-19 CT Image Segmentation with Canny Edge Detection and Dual-Path SENet Feature Fusion—0
Cell image segmentation by Feature Random Enhancement Module—0
Cell segmentation from telecentric bright-field transmitted light microscopy images using a Residual Attention U-Net: a case study on HeLa line—0
Cell segmentation with random ferns and graph-cuts—0
CEmb-SAM: Segment Anything Model with Condition Embedding for Joint Learning from Heterogeneous Datasets—0
CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation—0
CF2-Net: Coarse-to-Fine Fusion Convolutional Network for Breast Ultrasound Image Segmentation—0
CFFormer: Cross CNN-Transformer Channel Attention and Spatial Feature Fusion for Improved Segmentation of Low Quality Medical Images—0
CFPFormer: Feature-pyramid like Transformer Decoder for Segmentation and Detection—0
CGAM: Click-Guided Attention Module for Interactive Pathology Image Segmentation via Backpropagating Refinement—0
Challenge Results Are Not Reproducible—0
Channel Boosted CNN-Transformer-based Multi-Level and Multi-Scale Nuclei Segmentation—0
Chan-Vese Attention U-Net: An attention mechanism for robust segmentation—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