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Semantic Segmentation

Papers

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Showing 9801–9850 of 14763 papers

TitleStatusHype
R2S100K: Road-Region Segmentation Dataset For Semi-Supervised Autonomous Driving in the Wild—0
QuFeX: Quantum feature extraction module for hybrid quantum-classical deep neural networks—0
QueSTMaps: Queryable Semantic Topological Maps for 3D Scene Understanding—0
Query Refinement Transformer for 3D Instance Segmentation—0
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge—0
Quasi-spectral characterization of intracellular regions in bright-field light microscopy images—0
QuantU-Net: Efficient Wearable Medical Imaging Using Bitwidth as a Trainable Parameter—0
Quantum Image Segmentation Based on Grayscale Morphology—0
Rewards-based image analysis in microscopy—0
Quantum-enhanced unsupervised image segmentation for medical images analysis—0
Quantum Edge Detection for Image Segmentation in Optical Environments—0
ReXplain: Translating Radiology into Patient-Friendly Video Reports—0
Quantized Feature Distillation for Network Quantization—0
RFBNet: Deep Multimodal Networks with Residual Fusion Blocks for RGB-D Semantic Segmentation—0
RFC-Net: Learning High Resolution Global Features for Medical Image Segmentation on a Computational Budget—0
Using Foundation Models as Pseudo-Label Generators for Pre-Clinical 4D Cardiac CT Segmentation—0
Using GANs to Augment Data for Cloud Image Segmentation Task—0
RFMedSAM 2: Automatic Prompt Refinement for Enhanced Volumetric Medical Image Segmentation with SAM 2—0
Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation—0
Quantization of Deep Neural Networks for Accurate Edge Computing—0
RGB-based Semantic Segmentation Using Self-Supervised Depth Pre-Training—0
RGB-D Image Inpainting Using Generative Adversarial Network with a Late Fusion Approach—0
RGB-D Object Detection and Semantic Segmentation for Autonomous Manipulation in Clutter—0
RGB-D Video Object Segmentation via Enhanced Multi-store Feature Memory—0
Quantity beats quality for semantic segmentation of corrosion in images—0
RGPNet: A Real-Time General Purpose Semantic Segmentation—0
RHRSegNet: Relighting High-Resolution Night-Time Semantic Segmentation—0
Using Graph Neural Networks for Program Termination—0
Ridge Regression Neural Network for Pediatric Bone Age Assessment—0
RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models—0
RiEMann: Near Real-Time SE(3)-Equivariant Robot Manipulation without Point Cloud Segmentation—0
Using Image Priors to Improve Scene Understanding—0
RiFCN: Recurrent Network in Fully Convolutional Network for Semantic Segmentation of High Resolution Remote Sensing Images—0
Quantifying the Impact of Population Shift Across Age and Sex for Abdominal Organ Segmentation—0
RipVIS: Rip Currents Video Instance Segmentation Benchmark for Beach Monitoring and Safety—0
Extending CLIP's Image-Text Alignment to Referring Image Segmentation—0
RISeg: Robot Interactive Object Segmentation via Body Frame-Invariant Features—0
Risk Assessment for Autonomous Landing in Urban Environments using Semantic Segmentation—0
Risk-Aware Planning by Confidence Estimation using Deep Learning-Based Perception—0
Quantifying Model Uncertainty for Semantic Segmentation using Operators in the RKHS—0
RIT-Eyes: Rendering of near-eye images for eye-tracking applications—0
Using Logic Programming and Kernel-Grouping for Improving Interpretability of Convolutional Neural Networks—0
RIU-Net: Embarrassingly simple semantic segmentation of 3D LiDAR point cloud—0
MemorySeg: Online LiDAR Semantic Segmentation with a Latent Memory—0
RiWNet: A moving object instance segmentation Network being Robust in adverse Weather conditions—0
RLCorrector: Reinforced Proofreading for Cell-level Microscopy Image Segmentation—0
RMem: Restricted Memory Banks Improve Video Object Segmentation—0
Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks—0
RNGDet++: Road Network Graph Detection by Transformer with Instance Segmentation and Multi-scale Features Enhancement—0
Quantification of cardiac capillarization in single-immunostained myocardial slices using weakly supervised instance segmentation—0
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All datasetsADE20KNYU-Depth V2Cityscapes testCityscapes valADE20K valPASCAL ContextS3DIS Area5PASCAL VOC 2012 testS3DISScanNetSUN-RGBDDensePASS

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-H (M3I Pre-training)Params (M)1,310—Unverified
2ViT-P (InternImage-H)Validation mIoU63.6—Unverified
3ONE-PEACEValidation mIoU63—Unverified
4InternImage-HValidation mIoU62.9—Unverified
5M3I Pre-training (InternImage-H)Validation mIoU62.9—Unverified
6BEiT-3Validation mIoU62.8—Unverified
7EVAValidation mIoU62.3—Unverified
8ViT-P (OneFormer, InternImage-H)Validation mIoU61.6—Unverified
9ViT-Adapter-L (Mask2Former, BEiTv2 pretrain)Validation mIoU61.5—Unverified
10FD-SwinV2-GValidation mIoU61.4—Unverified