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 29513000 of 5035 papers

TitleStatusHype
Volume Preserving Image Segmentation with Entropic Regularization Optimal Transport and Its Applications in Deep Learning0
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation0
Transfer Learning with Edge Attention for Prostate MRI Segmentation0
Distribution-Aware Replay for Continual MRI Segmentation0
MedUHIP: Towards Human-In-the-Loop Medical Segmentation0
LAM3D: Leveraging Attention for Monocular 3D Object Detection0
PanicleNeRF: low-cost, high-precision in-field phenotypingof rice panicles with smartphone0
Applying Conditional Generative Adversarial Networks for Imaging Diagnosis0
Cross Pseudo Supervision Framework for Sparsely Labelled Geospatial Images0
Rethinking the Mean Teacher Strategy from the Perspective of Self-paced Learning0
DM-SegNet: Dual-Mamba Architecture for 3D Medical Image Segmentation with Global Context Modeling0
Generalist Models in Medical Image Segmentation: A Survey and Performance Comparison with Task-Specific Approaches0
Med-URWKV: Pure RWKV With ImageNet Pre-training For Medical Image Segmentation0
2D-3D Fully Convolutional Neural Networks for Cardiac MR Segmentation0
3D B-mode ultrasound speckle reduction using deep learning for 3D registration applications0
3D Cell Nuclei Segmentation with Balanced Graph Partitioning0
3D Deep Affine-Invariant Shape Learning for Brain MR Image Segmentation0
3D Densely Convolutional Networks for VolumetricSegmentation0
3D medical image segmentation with labeled and unlabeled data using autoencoders at the example of liver segmentation in CT images0
3D Medical Imaging Segmentation on Non-Contrast CT0
3D Quantum Cuts for Automatic Segmentation of Porous Media in Tomography Images0
3D Randomized Connection Network with Graph-based Label Inference0
3DRef: 3D Dataset and Benchmark for Reflection Detection in RGB and Lidar Data0
3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes0
3D Segmentation with Fully Trainable Gabor Kernels and Pearson's Correlation Coefficient0
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training0
3D Shape Segmentation via Shape Fully Convolutional Networks0
3D Ultrasound image segmentation: A Survey0
3D-U-SAM Network For Few-shot Tooth Segmentation in CBCT Images0
3D Visualization and Spatial Data Mining for Analysis of LULC Images0
4D Multi-atlas Label Fusion using Longitudinal Images0
A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT0
A2V: A Semi-Supervised Domain Adaptation Framework for Brain Vessel Segmentation via Two-Phase Training Angiography-to-Venography Translation0
A 3D Coarse-to-Fine Framework for Volumetric Medical Image Segmentation0
A 4D Light-Field Dataset and CNN Architectures for Material Recognition0
AASeg: Attention Aware Network for Real Time Semantic Segmentation0
Abdominal Multi-Organ Segmentation Based on Feature Pyramid Network and Spatial Recurrent Neural Network0
A Bhattacharyya Coefficient-Based Framework for Noise Model-Aware Random Walker Image Segmentation0
A Bottom-Up Approach to Class-Agnostic Image Segmentation0
A Brief Survey and an Application of Semantic Image Segmentation for Autonomous Driving0
A Cascaded Deep-Learning Framework for Segmentation of Metastatic Brain Tumors Before and After Stereotactic Radiation Therapy0
Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation0
Accuracy of MAP segmentation with hidden Potts and Markov mesh prior models via Path Constrained Viterbi Training, Iterated Conditional Modes and Graph Cut based algorithms0
Computer-Vision Benchmark Segment-Anything Model (SAM) in Medical Images: Accuracy in 12 Datasets0
ACE-Net: Biomedical Image Segmentation with Augmented Contracting and Expansive Paths0
A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation0
A Classifier-Free Incremental Learning Framework for Scalable Medical Image Segmentation0
A Classifier-guided Approach for Top-down Salient Object Detection0
A Clustering Method Based on Information Entropy Payload0
A combined Approach Based on Fuzzy Classification and Contextual Region Growing to Image Segmentation0
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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