SOTAVerified

Segmentation

Papers

Showing 28512875 of 13072 papers

TitleStatusHype
State-Aware Tracker for Real-Time Video Object SegmentationCode1
Learning Fast and Robust Target Models for Video Object SegmentationCode1
Towards Interpretable Semantic Segmentation via Gradient-weighted Class Activation MappingCode1
Efficient Semantic Video Segmentation with Per-frame InferenceCode1
Towards Better Surgical Instrument Segmentation in Endoscopic Vision: Multi-Angle Feature Aggregation and Contour SupervisionCode1
3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic SegmentationCode1
AlignSeg: Feature-Aligned Segmentation NetworksCode1
Real-time Fusion Network for RGB-D Semantic Segmentation Incorporating Unexpected Obstacle Detection for Road-driving ImagesCode1
Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated FusionCode1
Development of accurate human head models for personalized electromagnetic dosimetry using deep learningCode1
Cross-stained Segmentation from Renal Biopsy Images Using Multi-level Adversarial LearningCode1
Dataset of Segmented Nuclei in Hematoxylin and Eosin Stained Histopathology Images of 10 Cancer TypesCode1
Directional Deep Embedding and Appearance Learning for Fast Video Object SegmentationCode1
Superpixel Segmentation via Convolutional Neural Networks with Regularized Information MaximizationCode1
Key Points Estimation and Point Instance Segmentation Approach for Lane DetectionCode1
Reinforced active learning for image segmentationCode1
Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen CategoriesCode1
Physical Accuracy of Deep Neural Networks for 2D and 3D Multi-Mineral Segmentation of Rock micro-CT ImagesCode1
ACEnet: Anatomical Context-Encoding Network for Neuroanatomy SegmentationCode1
SpotNet: Self-Attention Multi-Task Network for Object DetectionCode1
Segmenting Unseen Industrial Components in a Heavy Clutter Using RGB-D Fusion and Synthetic DataCode1
Knowledge Distillation for Brain Tumor SegmentationCode1
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image SegmentationCode1
Modeling the Background for Incremental Learning in Semantic SegmentationCode1
Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problemCode1
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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