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Semantic Segmentation

Papers

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Showing 6651–6700 of 14763 papers

TitleStatusHype
1st Place Solution of The Robust Vision Challenge 2022 Semantic Segmentation TrackCode1
An Interpretable Deep Semantic Segmentation Method for Earth Observation—0
LCPFormer: Towards Effective 3D Point Cloud Analysis via Local Context Propagation in TransformersCode0
Self-supervised Amodal Video Object SegmentationCode0
MS-DCANet: A Novel Segmentation Network For Multi-Modality COVID-19 Medical Images—0
SLAMs: Semantic Learning based Activation Map for Weakly Supervised Semantic Segmentation—0
Diversity-Promoting Ensemble for Medical Image Segmentation—0
Instance-Aware Image Completion—0
High-Fidelity Visual Structural Inspections through Transformers and Learnable Resizers—0
Generative Range Imaging for Learning Scene Priors of 3D LiDAR DataCode1
Valuing Vicinity: Memory attention framework for context-based semantic segmentation in histopathologyCode1
Unsupervised Multi-object Segmentation by Predicting Probable Motion Patterns—0
Unsupervised Image Semantic Segmentation through Superpixels and Graph Neural Networks—0
Non-Iterative Scribble-Supervised Learning with Pacing Pseudo-Masks for Medical Image SegmentationCode1
MGTUNet: An new UNet for colon nuclei instance segmentation and quantification—0
SimpleClick: Interactive Image Segmentation with Simple Vision TransformersCode2
Self-Supervised Learning with Masked Image Modeling for Teeth Numbering, Detection of Dental Restorations, and Instance Segmentation in Dental Panoramic RadiographsCode1
Transferring learned patterns from ground-based field imagery to predict UAV-based imagery for crop and weed semantic segmentation in precision crop farming—0
RAIS: Robust and Accurate Interactive Segmentation via Continual Learning—0
Towards Sustainable Self-supervised LearningCode1
Large-batch Optimization for Dense Visual PredictionsCode1
Cell tracking for live-cell microscopy using an activity-prioritized assignment strategyCode0
Self-Supervised Learning via Maximum Entropy CodingCode1
Image Semantic Relation Generation—0
A Unified View of Masked Image ModelingCode0
Comparative analysis of deep learning approaches for AgNOR-stained cytology samples interpretation—0
HAVANA: Hard negAtiVe sAmples aware self-supervised coNtrastive leArning for Airborne laser scanning point clouds semantic segmentation—0
Segmentation-free Direct Iris Localization Networks—0
p^3VAE: a physics-integrated generative model. Application to the pixel-wise classification of airborne hyperspectral imagesCode1
TOIST: Task Oriented Instance Segmentation Transformer with Noun-Pronoun DistillationCode1
OpenEarthMap: A Benchmark Dataset for Global High-Resolution Land Cover Mapping—0
Pseudo-Label Noise Suppression Techniques for Semi-Supervised Semantic SegmentationCode0
BirdSoundsDenoising: Deep Visual Audio Denoising for Bird SoundsCode1
Intra-Source Style Augmentation for Improved Domain GeneralizationCode1
Interpolated SelectionConv for Spherical Images and SurfacesCode0
A Tri-Layer Plugin to Improve Occluded DetectionCode1
Decoupling Features in Hierarchical Propagation for Video Object SegmentationCode2
Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasksCode0
Zero-shot point cloud segmentation by transferring geometric primitivesCode0
Otsu based Differential Evolution Method for Image Segmentation—0
Scrape, Cut, Paste and Learn: Automated Dataset Generation Applied to Parcel LogisticsCode1
Real-Time Multi-Modal Semantic Fusion on Unmanned Aerial Vehicles with Label Propagation for Cross-Domain Adaptation—0
Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation—0
TIVE: A Toolbox for Identifying Video Instance Segmentation ErrorsCode1
EISeg: An Efficient Interactive Segmentation Tool based on PaddlePaddle—0
Deformably-Scaled Transposed Convolution—0
Cutting-Splicing data augmentation: A novel technology for medical image segmentation—0
Heterogeneous Feature Distillation Network for SAR Image Semantic Segmentation—0
Improving Object-centric Learning with Query OptimizationCode1
Fuzzy Positive Learning for Semi-supervised Semantic 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
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