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Semantic Segmentation

Papers

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Showing 9726–9750 of 14763 papers

TitleStatusHype
Randomized Dimension Reduction with Statistical Guarantees—0
Randomized 3D Scene Generation for Generalizable Self-Supervised Pre-Training—0
Rethinking Semantic Segmentation Evaluation for Explainability and Model Selection—0
Random Forest with Learned Representations for Semantic Segmentation—0
Random Ferns for Semantic Segmentation of PolSAR Images—0
Random-coupled Neural Network—0
Rethinking Task and Metrics of Instance Segmentation on 3D Point Clouds—0
Rethinking the editing of generative adversarial networks: a method to estimate editing vectors based on dimension reduction—0
RAIS: Robust and Accurate Interactive Segmentation via Continual Learning—0
Rainy screens: Collecting rainy datasets, indoors—0
USAGE: A Unified Seed Area Generation Paradigm for Weakly Supervised Semantic Segmentation—0
Rain rendering for evaluating and improving robustness to bad weather—0
Rethinking the Zigzag Flattening for Image Reading—0
Rethinking U-net Skip Connections for Biomedical Image Segmentation—0
Railway LiDAR semantic segmentation based on intelligent semi-automated data annotation—0
Rethinking Video Segmentation with Masked Video Consistency: Did the Model Learn as Intended?—0
USAM-Net: A U-Net-based Network for Improved Stereo Correspondence and Scene Depth Estimation using Features from a Pre-trained Image Segmentation network—0
Rethinking Visual Prompting for Multimodal Large Language Models with External Knowledge—0
RethNet: Object-by-Object Learning for Detecting Facial Skin Problems—0
RailSem19: A Dataset for Semantic Rail Scene Understanding—0
Retinal Image Segmentation with a Structure-Texture Demixing Network—0
Retinal Image Segmentation with Small Datasets—0
Retinal Microvasculature as Biomarker for Diabetes and Cardiovascular Diseases—0
Retinal Optic Disc Segmentation using Conditional Generative Adversarial Network—0
Retinal Vessel Segmentation under Extreme Low Annotation: A Generative Adversarial Network Approach—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