SOTAVerified

Segmentation

Papers

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Showing 4051–4075 of 13072 papers

TitleStatusHype
TomatoDIFF: On-plant Tomato Segmentation with Denoising Diffusion ModelsCode0
ARHNet: Adaptive Region Harmonization for Lesion-aware Augmentation to Improve Segmentation PerformanceCode0
A region and category confidence-based multi-task network for carotid ultrasound image segmentation and classification—0
Bidirectional Correlation-Driven Inter-Frame Interaction Transformer for Referring Video Object Segmentation—0
Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for Robust 3D Medical Image Segmentation—0
Learning Content-enhanced Mask Transformer for Domain Generalized Urban-Scene SegmentationCode0
All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based Finetuning—0
Deep Angiogram: Trivializing Retinal Vessel Segmentation—0
Real-time High-Resolution Neural Network with Semantic Guidance for Crack SegmentationCode1
Efficient Subclass Segmentation in Medical ImagesCode0
Training-free Object Counting with PromptsCode1
Detection-segmentation convolutional neural network for autonomous vehicle perceptionCode1
Multiscale Progressive Text Prompt Network for Medical Image Segmentation—0
Achieving RGB-D level Segmentation Performance from a Single ToF Camera—0
ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation—0
Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-trainCode2
MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained on a Large-Scale Unannotated DatasetCode2
SimPLe: Similarity-Aware Propagation Learning for Weakly-Supervised Breast Cancer Segmentation in DCE-MRICode0
PCDAL: A Perturbation Consistency-Driven Active Learning Approach for Medical Image Segmentation and ClassificationCode0
Analysis of LiDAR Configurations on Off-road Semantic Segmentation Performance—0
Inter-Rater Uncertainty Quantification in Medical Image Segmentation via Rater-Specific Bayesian Neural NetworksCode0
Land Cover Segmentation with Sparse Annotations from Sentinel-2 ImageryCode1
RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation ModelCode2
GraSS: Contrastive Learning with Gradient Guided Sampling Strategy for Remote Sensing Image Semantic SegmentationCode1
Incremental Learning on Food Instance Segmentation—0
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All datasetsSA-1B.MFSDMMFloodSimGas

Benchmark Results

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