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Segmentation

Papers

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Showing 4776–4800 of 13072 papers

TitleStatusHype
A Hierarchical Image Matting Model for Blood Vessel Segmentation in Fundus images—0
A combined Approach Based on Fuzzy Classification and Contextual Region Growing to Image Segmentation—0
Attention on Classification for Fire Segmentation—0
A Group Norm Regularized Factorization Model for Subspace Segmentation—0
Coresets for k-Segmentation of Streaming Data—0
CoralVOS: Dataset and Benchmark for Coral Video Segmentation—0
Attention Mechanisms in Medical Image Segmentation: A Survey—0
GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation—0
Attention-guided Unified Network for Panoptic Segmentation—0
A Ground Segmentation Method Based on Point Cloud Map for Unstructured Roads—0
A Coarse-to-fine Morphological Approach With Knowledge-based Rules and Self-adapting Correction for Lung Nodules Segmentation—0
Graph Convolution Based Cross-Network Multi-Scale Feature Fusion for Deep Vessel Segmentation—0
Graph Cut Segmentation Methods Revisited with a Quantum Algorithm—0
Co-occurrence Background Model with Superpixels for Robust Background Initialization—0
Semantic-Aware Contrastive Learning for Multi-object Medical Image Segmentation—0
Graph-based methods for analyzing orchard tree structure using noisy point cloud data—0
Agriculture-Vision Challenge 2024 -- The Runner-Up Solution for Agricultural Pattern Recognition via Class Balancing and Model Ensemble—0
Convolution Neural Networks for Semantic Segmentation: Application to Small Datasets of Biomedical Images—0
Graph based Dynamic Segmentation of Generic Objects in 3D—0
Graph-Based Optimization with Tubularity Markov Tree for 3D Vessel Segmentation—0
Convolution Meets LoRA: Parameter Efficient Finetuning for Segment Anything Model—0
Convolution-Free Medical Image Segmentation using Transformers—0
Mind the Context: Attention-Guided Weak-to-Strong Consistency for Enhanced Semi-Supervised Medical Image Segmentation—0
A Coarse-To-Fine Framework For Video Object Segmentation—0
Graph-BAS3Net: Boundary-Aware Semi-Supervised Segmentation Network With Bilateral Graph Convolution—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