SOTAVerified

Segmentation

Papers

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Showing 5851–5900 of 13072 papers

TitleStatusHype
Detecting intracranial aneurysm rupture from 3D surfaces using a novel GraphNet approach—0
An Active Contour Model Driven By the Hybrid Signed Pressure Function—0
Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps—0
Background Segmentation for Vehicle Re-Identification—0
Background Noise Reduction of Attention Map for Weakly Supervised Semantic Segmentation—0
An Active and Contrastive Learning Framework for Fine-Grained Off-Road Semantic Segmentation—0
Detecting and Segmenting Adversarial Graphics Patterns from Images—0
Detecting Adversarial Attacks in Semantic Segmentation via Uncertainty Estimation: A Deep Analysis—0
DetectFusion: Detecting and Segmenting Both Known and Unknown Dynamic Objects in Real-time SLAM—0
Detect-and-Segment: a Deep Learning Approach to Automate Wound Image Segmentation—0
Background-Aware 3D Point Cloud Segmentationwith Dynamic Point Feature Aggregation—0
Design Pseudo Ground Truth with Motion Cue for Unsupervised Video Object Segmentation—0
Background Adaptation with Residual Modeling for Exemplar-Free Class-Incremental Semantic Segmentation—0
An Access Control Method with Secret Key for Semantic Segmentation Models—0
Adapting a Segmentation Foundation Model for Medical Image Classification—0
3D Tomographic Pattern Synthesis for Enhancing the Quantification of COVID-19—0
Design of Real-time Semantic Segmentation Decoder for Automated Driving—0
Designing a Hybrid Neural System to Learn Real-world Crack Segmentation from Fractal-based Simulation—0
Deshadow-Anything: When Segment Anything Model Meets Zero-shot shadow removal—0
Descriptor-Free Multi-View Region Matching for Instance-Wise 3D Reconstruction—0
Axial Attention Transformer Networks: A New Frontier in Breast Cancer Detection—0
Descriptive Modeling of Textiles using FE Simulations and Deep Learning—0
Depth-wise layering of 3d images using dense depth maps: a threshold based approach—0
A Word-and-Paradigm Workflow for Fieldwork Annotation—0
An Abstraction Model for Semantic Segmentation Algorithms—0
Depth-SIMS: Semi-Parametric Image and Depth Synthesis—0
DepthSeg: Depth prompting in remote sensing semantic segmentation—0
Depth Over RGB: Automatic Evaluation of Open Surgery Skills Using Depth Camera—0
Depth-guided Texture Diffusion for Image Semantic Segmentation—0
AWEU-Net: An Attention-Aware Weight Excitation U-Net for Lung Nodule Segmentation—0
Depth-guided Free-space Segmentation for a Mobile Robot—0
DepthFormer: Multimodal Positional Encodings and Cross-Input Attention for Transformer-Based Segmentation Networks—0
DepthCut: Improved Depth Edge Estimation Using Multiple Unreliable Channels—0
A multi view multi stage and multi window framework for pulmonary artery segmentation from CT scans—0
3DTI-Net: Learn Inner Transform Invariant 3D Geometry Features using Dynamic GCN—0
Depth-Aware Mirror Segmentation—0
A Weakly Supervised Segmentation Network Embedding Cross-scale Attention Guidance and Noise-sensitive Constraint for Detecting Tertiary Lymphoid Structures of Pancreatic Tumors—0
A Multi-View Dynamic Fusion Framework: How to Improve the Multimodal Brain Tumor Segmentation from Multi-Views?—0
Depth-Adapted CNNs for RGB-D Semantic Segmentation—0
DeNVeR: Deformable Neural Vessel Representations for Unsupervised Video Vessel Segmentation—0
Density-Based Clustering for 3D Object Detection in Point Clouds—0
A weakly supervised registration-based framework for prostate segmentation via the combination of statistical shape model and CNN—0
A multi-task U-net for segmentation with lazy labels—0
Densify Your Labels: Unsupervised Clustering with Bipartite Matching for Weakly Supervised Point Cloud Segmentation—0
A Waste Copper Granules Rating System Based on Machine Vision—0
Dense Supervision Propagation for Weakly Supervised Semantic Segmentation on 3D Point Clouds—0
Dense Self-Supervised Learning for Medical Image Segmentation—0
Learning to segment microscopy images with lazy labels—0
Dense Segmentation-Aware Descriptors—0
Dense Regression Activation Maps For Lesion Segmentation in CT scans of COVID-19 patients—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