SOTAVerified

Segmentation

Papers

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Showing 12601–12650 of 13072 papers

TitleStatusHype
MouseGAN++: Unsupervised Disentanglement and Contrastive Representation for Multiple MRI Modalities Synthesis and Structural Segmentation of Mouse Brain—0
CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans—0
CovTANet: A Hybrid Tri-level Attention Based Network for Lesion Segmentation, Diagnosis, and Severity Prediction of COVID-19 Chest CT Scans—0
BoxInst: High-Performance Instance Segmentation with Box Annotations—0
Box-Adapt: Domain-Adaptive Medical Image Segmentation using Bounding BoxSupervision—0
CP-loss: Connectivity-preserving Loss for Road Curb Detection in Autonomous Driving with Aerial Images—0
CPM: Class-conditional Prompting Machine for Audio-visual Segmentation—0
CPNet: Cycle Prototype Network for Weakly-supervised 3D Renal Compartments Segmentation on CT Images—0
Box2Seg: Attention Weighted Loss and Discriminative Feature Learning for Weakly Supervised Segmentation—0
CPSeg: Cluster-free Panoptic Segmentation of 3D LiDAR Point Clouds—0
CPSeg: Finer-grained Image Semantic Segmentation via Chain-of-Thought Language Prompting—0
CpT: Convolutional Point Transformer for 3D Point Cloud Processing—0
CP-UNet: Contour-based Probabilistic Model for Medical Ultrasound Images Segmentation—0
CrackESS: A Self-Prompting Crack Segmentation System for Edge Devices—0
Bounding Box-Free Instance Segmentation Using Semi-Supervised Learning for Generating a City-Scale Vehicle Dataset—0
Bounding Box Embedding for Single Shot Person Instance Segmentation—0
Boundary-weighted logit consistency improves calibration of segmentation networks—0
Crack Semantic Segmentation using the U-Net with Full Attention Strategy—0
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures—0
CrashCar101: Procedural Generation for Damage Assessment—0
CRCNet: Few-shot Segmentation with Cross-Reference and Region-Global Conditional Networks—0
Creating A Coefficient of Change in the Built Environment After a Natural Disaster—0
CRF Learning with CNN Features for Image Segmentation—0
Boundary-sensitive Network for Portrait Segmentation—0
BoundarySeg:An Embarrassingly Simple Method To Boost Medical Image Segmentation Performance for Low Data Regimes—0
CRIS: Collaborative Refinement Integrated with Segmentation for Polyp Segmentation—0
A complete character recognition and transliteration technique for Devanagari script—0
CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation—0
Critical Assessment of Transfer Learning for Medical Image Segmentation with Fully Convolutional Neural Networks—0
CRNet: Cross-Reference Networks for Few-Shot Segmentation—0
Boundary-RL: Reinforcement Learning for Weakly-Supervised Prostate Segmentation in TRUS Images—0
Movable-Object-Aware Visual SLAM via Weakly Supervised Semantic Segmentation—0
Cross-adversarial local distribution regularization for semi-supervised medical image segmentation—0
Cross-Atlas Convolution for Parameterization Invariant Learning on Textured Mesh Surface—0
Cross Attention Network for Semantic Segmentation—0
Crossbar-Net: A Novel Convolutional Network for Kidney Tumor Segmentation in CT Images—0
Cross-CBAM: A Lightweight network for Scene Segmentation—0
Cross-City Matters: A Multimodal Remote Sensing Benchmark Dataset for Cross-City Semantic Segmentation using High-Resolution Domain Adaptation Networks—0
Cross-connected Networks for Multi-task Learning of Detection and Segmentation—0
Cross-Dataset Collaborative Learning for Semantic Segmentation in Autonomous Driving—0
CrossDiff: Diffusion Probabilistic Model With Cross-conditional Encoder-Decoder for Crack Segmentation—0
MOVES: Movable and Moving LiDAR Scene Segmentation in Label-Free settings using Static Reconstruction—0
A Comparison of Nature Inspired Algorithms for Multi-threshold Image Segmentation—0
Cross-Document Narrative Alignment of Environmental News: A Position Paper on the Challenge of Using Event Chains to Proxy Narrative Features—0
Out of the Room: Generalizing Event-Based Dynamic Motion Segmentation for Complex Scenes—0
A Comparison of Deep Learning Convolution Neural Networks for Liver Segmentation in Radial Turbo Spin Echo Images—0
Cross-Domain Federated Learning in Medical Imaging—0
Boundary-rendering network for breast lesion segmentation in ultrasound images—0
Moving Object Segmentation in Jittery Videos by Stabilizing Trajectories Modeled in Kendall's Shape Space—0
Cross-Domain Medical Image Translation by Shared Latent Gaussian Mixture Model—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