SOTAVerified

Segmentation

Papers

Showing 16761700 of 13072 papers

TitleStatusHype
Polyp segmentation in colonoscopy images using DeepLabV3++0
Channel Boosted CNN-Transformer-based Multi-Level and Multi-Scale Nuclei Segmentation0
How good nnU-Net for Segmenting Cardiac MRI: A Comprehensive Evaluation0
A Survey on Cell Nuclei Instance Segmentation and Classification: Leveraging Context and Attention0
How to Segment in 3D Using 2D Models: Automated 3D Segmentation of Prostate Cancer Metastatic Lesions on PET Volumes Using Multi-angle Maximum Intensity Projections and Diffusion ModelsCode0
GLAM: Glomeruli Segmentation for Human Pathological Lesions using Adapted Mouse Model0
Retinal IPA: Iterative KeyPoints Alignment for Multimodal Retinal ImagingCode0
Taxonomy-Aware Continual Semantic Segmentation in Hyperbolic Spaces for Open-World Perception0
LKCell: Efficient Cell Nuclei Instance Segmentation with Large Convolution KernelsCode1
RefMask3D: Language-Guided Transformer for 3D Referring SegmentationCode2
Unsupervised Training of Neural Cellular Automata on Edge DevicesCode1
TiCoSS: Tightening the Coupling between Semantic Segmentation and Stereo Matching within A Joint Learning Framework0
Segmentation by registration-enabled SAM prompt engineering using five reference imagesCode0
Image Segmentation via Divisive Normalization: dealing with environmental diversity0
DINOv2 Rocks Geological Image Analysis: Classification, Segmentation, and InterpretabilityCode1
Guided Latent Slot Diffusion for Object-Centric Learning0
CSWin-UNet: Transformer UNet with Cross-Shaped Windows for Medical Image SegmentationCode1
Deep Spherical SuperpixelsCode0
EAFormer: Scene Text Segmentation with Edge-Aware TransformersCode3
Trans2Unet: Neural fusion for Nuclei Semantic Segmentation0
Embedding-Free Transformer with Inference Spatial Reduction for Efficient Semantic SegmentationCode1
Enhancing Environmental Monitoring through Multispectral Imaging: The WasteMS Dataset for Semantic Segmentation of Lakeside WasteCode0
Navigating Uncertainty in Medical Image Segmentation0
EffiSegNet: Gastrointestinal Polyp Segmentation through a Pre-Trained EfficientNet-based Network with a Simplified DecoderCode1
SAM-CP: Marrying SAM with Composable Prompts for Versatile Segmentation0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1unSAM+ (Semi-supervised)Average Precision42.8Unverified
2SAMAverage Precision38.9Unverified
#ModelMetricClaimedVerifiedStatus
1HNN10%20Unverified
#ModelMetricClaimedVerifiedStatus
1ABANetF1 Score96.82Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50 + DeepLabV3+F1 score0.77Unverified
#ModelMetricClaimedVerifiedStatus
1LangGasIoU0.69Unverified