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Semantic Segmentation

Papers

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Showing 10101–10150 of 14763 papers

TitleStatusHype
Power-SLIC: Fast Superpixel Segmentations by Diagrams—0
PP-HumanSeg: Connectivity-Aware Portrait Segmentation with a Large-Scale Teleconferencing Video Dataset—0
PP-LinkNet: Improving Semantic Segmentation of High Resolution Satellite Imagery with Multi-stage Training—0
PP-LiteSeg: A Superior Real-Time Semantic Segmentation Model—0
PPMamba: A Pyramid Pooling Local Auxiliary SSM-Based Model for Remote Sensing Image Semantic Segmentation—0
PP-Matting: High-Accuracy Natural Image Matting—0
PP-MobileSeg: Explore the Fast and Accurate Semantic Segmentation Model on Mobile Devices—0
PPTFormer: Pseudo Multi-Perspective Transformer for UAV Segmentation—0
PRAD: Periapical Radiograph Analysis Dataset and Benchmark Model Development—0
PRCL: Probabilistic Representation Contrastive Learning for Semi-Supervised Semantic Segmentation—0
Precise Workcell Sketching from Point Clouds Using an AR Toolbox—0
PreCM: The Padding-based Rotation Equivariant Convolution Mode for Semantic Segmentation—0
Predicting Depth from Semantic Segmentation using Game Engine Dataset—0
Predicting Failures of Vision Systems—0
Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s)—0
Predicting How to Distribute Work Between Algorithms and Humans to Segment an Image Batch—0
Predicting Natural Hazards with Neuronal Networks—0
Predicting the Solar Potential of Rooftops using Image Segmentation and Structured Data—0
Predicting urban tree cover from incomplete point labels and limited background information—0
Prediction Calibration for Generalized Few-shot Semantic Segmentation—0
Prepare for the Worst: Generalizing across Domain Shifts with Adversarial Batch Normalization—0
Preparing the Future for Continual Semantic Segmentation—0
Pre-processing training data improves accuracy and generalisability of convolutional neural network based landscape semantic segmentation—0
Pre-training with 3D Synthetic Data: Learning 3D Point Cloud Instance Segmentation from 3D Synthetic Scenes—0
Pre-Training with Diffusion models for Dental Radiography segmentation—0
Primary Object Segmentation in Videos Based on Region Augmentation and Reduction—0
Primary Object Segmentation in Videos via Alternate Convex Optimization of Foreground and Background Distributions—0
Primary Video Object Segmentation via Complementary CNNs and Neighborhood Reversible Flow—0
Primitive-based 3D Building Modeling, Sensor Simulation, and Estimation—0
Primitive Simultaneous Optimization of Similarity Metrics for Image Registration—0
Primus: Enforcing Attention Usage for 3D Medical Image Segmentation—0
Principal component-based image segmentation: a new approach to outline in vitro cell colonies—0
Principal Component Clustering for Semantic Segmentation in Synthetic Data Generation—0
Print Defect Mapping with Semantic Segmentation—0
Prior-based Hierarchical Segmentation Highlighting Structures of Interest—0
Prior-guided Diffusion Model for Cell Segmentation in Quantitative Phase Imaging—0
Prior-Guided Multi-View 3D Head Reconstruction—0
PriorNet: lesion segmentation in PET-CT including prior tumor appearance information—0
Privacy-Preserving Operating Room Workflow Analysis using Digital Twins—0
Privacy-Preserving SAM Quantization for Efficient Edge Intelligence in Healthcare—0
Privacy-Protecting Behaviours of Risk Detection in People with Dementia using Videos—0
Privacy Protection in Street-View Panoramas using Depth and Multi-View Imagery—0
Privacy Risks of Robot Vision: A User Study on Image Modalities and Resolution—0
PRMI: A Dataset of Minirhizotron Images for Diverse Plant Root Study—0
Probabilistic 3D Multilabel Real-time Mapping for Multi-object Manipulation—0
Probabilistic Deep Learning for Instance Segmentation—0
Probabilistic Future Prediction for Video Scene Understanding—0
Probabilistic Graph Attention Network with Conditional Kernels for Pixel-Wise Prediction—0
Probabilistic Graphlet Cut: Exploiting Spatial Structure Cue for Weakly Supervised Image Segmentation—0
Probabilistic Joint Image Segmentation and Labeling—0
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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
4M3I Pre-training (InternImage-H)Validation mIoU62.9—Unverified
5InternImage-HValidation 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