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Semantic Segmentation

Papers

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Showing 9851–9900 of 14763 papers

TitleStatusHype
PandaSet: Advanced Sensor Suite Dataset for Autonomous Driving—0
PanelNet: Understanding 360 Indoor Environment via Panel Representation—0
PanoMixSwap Panorama Mixing via Structural Swapping for Indoor Scene Understanding—0
Panoptic-CUDAL Technical Report: Rural Australia Point Cloud Dataset in Rainy Conditions—0
Panoptic-Depth Color Map for Combination of Depth and Image Segmentation—0
PanopticFusion: Online Volumetric Semantic Mapping at the Level of Stuff and Things—0
Panoptic Instance Segmentation on Pigs—0
Panoptic One-Click Segmentation: Applied to Agricultural Data—0
Panoptic Out-of-Distribution Segmentation—0
Panoptic Perception: A Novel Task and Fine-grained Dataset for Universal Remote Sensing Image Interpretation—0
Panoptic-PHNet: Towards Real-Time and High-Precision LiDAR Panoptic Segmentation via Clustering Pseudo Heatmap—0
PanopticRecon: Leverage Open-vocabulary Instance Segmentation for Zero-shot Panoptic Reconstruction—0
Panoptic Segmentation of Mammograms with Text-To-Image Diffusion Model—0
Panoptic Segmentation with a Joint Semantic and Instance Segmentation Network—0
Panoptic segmentation with highly imbalanced semantic labels—0
PanoSSC: Exploring Monocular Panoptic 3D Scene Reconstruction for Autonomous Driving—0
Panoster: End-to-end Panoptic Segmentation of LiDAR Point Clouds—0
PAN: Projective Adversarial Network for Medical Image Segmentation—0
Parallax Motion Effect Generation Through Instance Segmentation And Depth Estimation—0
Parallel Detection-and-Segmentation Learning for Weakly Supervised Instance Segmentation—0
Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation—0
Parallel Pre-trained Transformers (PPT) for Synthetic Data-based Instance Segmentation—0
Parallel Watershed Partitioning: GPU-Based Hierarchical Image Segmentation—0
Parallel WiSARD object tracker: a ram-based tracking system—0
Parameter-efficient Fine-tuning in Hyperspherical Space for Open-vocabulary Semantic Segmentation—0
Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model—0
Parameter-Efficient Transformer with Hybrid Axial-Attention for Medical Image Segmentation—0
Parameter Learning for Log-supermodular Distributions—0
Parametric Image Segmentation of Humans with Structural Shape Priors—0
Parametric Imaging of FDG-PET Data Using Physiology and Iterative Regularization: Application to the Hepatic and Renal Systems—0
PARF-Net: integrating pixel-wise adaptive receptive fields into hybrid Transformer-CNN network for medical image segmentation—0
ParFormer: A Vision Transformer with Parallel Mixer and Sparse Channel Attention Patch Embedding—0
Paris-CARLA-3D: A Real and Synthetic Outdoor Point Cloud Dataset for Challenging Tasks in 3D Mapping—0
ParisLuco3D: A high-quality target dataset for domain generalization of LiDAR perception—0
PaRK-Detect: Towards Efficient Multi-Task Satellite Imagery Road Extraction via Patch-Wise Keypoints Detection—0
Segmentation of Parotid Gland Tumors Using Multimodal MRI and Contrastive Learning—0
Parsimonious Dataset Construction for Laparoscopic Cholecystectomy Structure Segmentation—0
Parsing All Adverse Scenes: Severity-Aware Semantic Segmentation with Mask-Enhanced Cross-Domain Consistency—0
Parsing Line Segments of Floor Plan Images Using Graph Neural Networks—0
Partial Labeled Gastric Tumor Segmentation via patch-based Reiterative Learning—0
Partially Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation—0
Particle methods enable fast and simple approximation of Sobolev gradients in image segmentation—0
Parting with Illusions about Deep Active Learning—0
PartNet: A Recursive Part Decomposition Network for Fine-grained and Hierarchical Shape Segmentation—0
PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud—0
PASS: Patch-Aware Self-Supervision for Vision Transformer—0
Patch-aware Batch Normalization for Improving Cross-domain Robustness—0
Patch-Based Deep Unsupervised Image Segmentation using Graph Cuts—0
Patch-based Evaluation of Image Segmentation—0
Patch-based Medical Image Segmentation using Matrix Product State Tensor Networks—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
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