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Segmentation

Papers

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Showing 7301–7350 of 13072 papers

TitleStatusHype
SMAC-Seg: LiDAR Panoptic Segmentation via Sparse Multi-directional Attention Clustering—0
LIVECell—A large-scale dataset for label-free live cell segmentationCode1
LUAI Challenge 2021 on Learning to Understand Aerial ImagesCode1
Pseudo-mask Matters in Weakly-supervised Semantic SegmentationCode1
Automatic Preprocessing and Ensemble Learning for Low Quality Cell Image Segmentation—0
Robust Interactive Semantic Segmentation of Pathology Images with Minimal User Input—0
Unsupervised Learning of Deep Features for Music Segmentation—0
A Multimodal Framework for Video Ads Understanding—0
Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth EstimationCode1
SIGN: Spatial-information Incorporated Generative Network for Generalized Zero-shot Semantic Segmentation—0
Learning Inner-Group Relations on Point CloudsCode1
Automated Kidney Segmentation by Mask R-CNN in T2-weighted Magnetic Resonance Imaging—0
CoCo DistillNet: a Cross-layer Correlation Distillation Network for Pathological Gastric Cancer Segmentation—0
Evaluating Transformer-based Semantic Segmentation Networks for Pathological Image Segmentation—0
PAENet: A Progressive Attention-Enhanced Network for 3D to 2D Retinal Vessel Segmentation—0
Segmentation of Shoulder Muscle MRI Using a New Region and Edge based Deep Auto-Encoder—0
PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning—0
Improving the Reliability of Semantic Segmentation of Medical Images by Uncertainty Modeling with Bayesian Deep Networks and Curriculum LearningCode0
ChessMix: Spatial Context Data Augmentation for Remote Sensing Semantic SegmentationCode0
Mining Contextual Information Beyond Image for Semantic SegmentationCode1
An Underwater Image Semantic Segmentation Method Focusing on Boundaries and a Real Underwater Scene Semantic Segmentation DatasetCode0
Multi-task learning from fixed-wing UAV images for 2D/3D city modeling—0
Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image SegmentationCode1
Semantic Scene Segmentation for Robotics Applications—0
An Effective Pixel-Wise Approach for Skin Colour Segmentation Using Pixel Neighbourhood Technique—0
ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic SegmentationCode1
Data-driven predictive control with improved performance using segmented trajectories—0
Image-free single-pixel segmentation—0
Real-Time Monocular Human Depth Estimation and Segmentation on Embedded SystemsCode1
A Weakly Supervised Amodal Segmenter with Boundary Uncertainty EstimationCode1
Efficient Medical Image Segmentation Based on Knowledge DistillationCode1
Self-Regulation for Semantic Segmentation—0
Tensor Pooling Driven Instance Segmentation Framework for Baggage Threat RecognitionCode0
Palmira: A Deep Deformable Network for Instance Segmentation of Dense and Uneven Layouts in Handwritten ManuscriptsCode0
Systematic Clinical Evaluation of A Deep Learning Method for Medical Image Segmentation: Radiosurgery Application—0
A Technical Survey and Evaluation of Traditional Point Cloud Clustering Methods for LiDAR Panoptic SegmentationCode1
Unsupervised Local Discrimination for Medical ImagesCode1
BlockCopy: High-Resolution Video Processing with Block-Sparse Feature Propagation and Online PoliciesCode1
Detecting and Segmenting Adversarial Graphics Patterns from Images—0
Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation—0
Medical Image Segmentation with 3D Convolutional Neural Networks: A Survey—0
Multi-task Federated Learning for Heterogeneous Pancreas Segmentation—0
Generating Superpixels for High-resolution Images with Decoupled Patch Calibration—0
FSNet: A Failure Detection Framework for Semantic Segmentation—0
Few-shot Segmentation with Optimal Transport Matching and Message Flow—0
Box-Adapt: Domain-Adaptive Medical Image Segmentation using Bounding BoxSupervision—0
GP-S3Net: Graph-based Panoptic Sparse Semantic Segmentation Network—0
Fully Convolutional Networks for Panoptic Segmentation with Point-based SupervisionCode1
A Dense Siamese U-Net trained with Edge Enhanced 3D IOU Loss for Image Co-segmentation—0
CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical ObjectsCode1
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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