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 751800 of 5035 papers

TitleStatusHype
Design of a Graphical User Interface for Few-Shot Machine Learning Classification of Electron Microscopy DataCode1
ACC-UNet: A Completely Convolutional UNet model for the 2020sCode1
DeRIS: Decoupling Perception and Cognition for Enhanced Referring Image Segmentation through Loopback SynergyCode1
Learning Multi-axis Representation in Frequency Domain for Medical Image SegmentationCode1
Boundary Difference Over Union Loss For Medical Image SegmentationCode1
Learning to Segment from Noisy Annotations: A Spatial Correction ApproachCode1
Learning with Explicit Shape Priors for Medical Image SegmentationCode1
Boundary IoU: Improving Object-Centric Image Segmentation EvaluationCode1
Alternate Diverse Teaching for Semi-supervised Medical Image SegmentationCode1
DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image SegmentationCode1
DEU-Net: Dual-Encoder U-Net for Automated Skin Lesion SegmentationCode1
BoundarySqueeze: Image Segmentation as Boundary SqueezingCode1
Linguistic Structure Guided Context Modeling for Referring Image SegmentationCode1
LiteNeXt: A Novel Lightweight ConvMixer-based Model with Self-embedding Representation Parallel for Medical Image SegmentationCode1
Attentive Symmetric Autoencoder for Brain MRI SegmentationCode1
Livelayer: A Semi-Automatic Software Program for Segmentation of Layers and Diabetic Macular Edema in Optical Coherence Tomography ImagesCode1
Attention U-Net: Learning Where to Look for the PancreasCode1
ALPS: An Auto-Labeling and Pre-training Scheme for Remote Sensing Segmentation With Segment Anything ModelCode1
Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimisation for Multi-modal Cardiac Image SegmentationCode1
A Location-Sensitive Local Prototype Network for Few-Shot Medical Image SegmentationCode1
M^4oE: A Foundation Model for Medical Multimodal Image Segmentation with Mixture of ExpertsCode1
MACU-Net for Semantic Segmentation of Fine-Resolution Remotely Sensed ImagesCode1
MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion SegmentationCode1
MambaClinix: Hierarchical Gated Convolution and Mamba-Based U-Net for Enhanced 3D Medical Image SegmentationCode1
Latent Diffusion for Medical Image Segmentation: End to end learning for fast sampling and accuracyCode1
Devil is in Channels: Contrastive Single Domain Generalization for Medical Image SegmentationCode1
An Instance Segmentation Dataset of Yeast Cells in MicrostructuresCode1
Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image SegmentationCode1
Clustering Plotted Data by Image SegmentationCode1
Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion SegmentationCode1
DeiSAM: Segment Anything with Deictic PromptingCode1
Delving into Crispness: Guided Label Refinement for Crisp Edge DetectionCode1
Deformation-Recovery Diffusion Model (DRDM): Instance Deformation for Image Manipulation and SynthesisCode1
DeepVoxNet2: Yet another CNN frameworkCode1
Mask Grounding for Referring Image SegmentationCode1
MaskRIS: Semantic Distortion-aware Data Augmentation for Referring Image SegmentationCode1
DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable ConvolutionCode1
MatchSeg: Towards Better Segmentation via Reference Image MatchingCode1
Bridging Vision and Language Encoders: Parameter-Efficient Tuning for Referring Image SegmentationCode1
MaxStyle: Adversarial Style Composition for Robust Medical Image SegmentationCode1
Delving into Shape-aware Zero-shot Semantic SegmentationCode1
CMUNeXt: An Efficient Medical Image Segmentation Network based on Large Kernel and Skip FusionCode1
An MRF-UNet Product of Experts for Image SegmentationCode1
MCP-MedSAM: A Powerful Lightweight Medical Segment Anything Model Trained with a Single GPU in Just One DayCode1
Deep learning approach to left ventricular non-compaction measurementCode1
Mean Shift Mask Transformer for Unseen Object Instance SegmentationCode1
Capturing Omni-Range Context for Omnidirectional SegmentationCode1
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFsCode1
Deep Multi-Threshold Spiking-UNet for Image ProcessingCode1
DenoiseRep: Denoising Model for Representation LearningCode1
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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