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Semantic Segmentation

Papers

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Showing 9626–9650 of 14763 papers

TitleStatusHype
Re:PolyWorld - A Graph Neural Network for Polygonal Scene Parsing—0
Real-Time Multi-Modal Semantic Fusion on Unmanned Aerial Vehicles—0
Real-time Joint Object Detection and Semantic Segmentation Network for Automated Driving—0
Representation Separation for Semantic Segmentation with Vision Transformers—0
Real-time Instance Segmentation of Surgical Instruments using Attention and Multi-scale Feature Fusion—0
Real-Time Human Motion Capture with Multiple Depth Cameras—0
Representative Graph Neural Network—0
Uplifting Range-View-based 3D Semantic Segmentation in Real-Time with Multi-Sensor Fusion—0
RepSNet: A Nucleus Instance Segmentation model based on Boundary Regression and Structural Re-parameterization—0
Repurposing Stable Diffusion Attention for Training-Free Unsupervised Interactive Segmentation—0
Real-Time High-Performance Semantic Image Segmentation of Urban Street Scenes—0
Re-ranking Object Proposals for Object Detection in Automatic Driving—0
RESAnything: Attribute Prompting for Arbitrary Referring Segmentation—0
RESAR-BEV: An Explainable Progressive Residual Autoregressive Approach for Camera-Radar Fusion in BEV Segmentation—0
Rescan: Inductive Instance Segmentation for Indoor RGBD Scans—0
Real-time GeoAI for High-resolution Mapping and Segmentation of Arctic Permafrost Features—0
MS-UNet-v2: Adaptive Denoising Method and Training Strategy for Medical Image Segmentation with Small Training Data—0
Real-Time Fruit Recognition and Grasping Estimation for Autonomous Apple Harvesting—0
Research on Improved U-net Based Remote Sensing Image Segmentation Algorithm—0
MS-Twins: Multi-Scale Deep Self-Attention Networks for Medical Image Segmentation—0
Research on Tumors Segmentation based on Image Enhancement Method—0
WISNet: Pseudo Label Generation on Unbalanced and Patch Annotated Waste Images—0
ResEnsemble-DDPM: Residual Denoising Diffusion Probabilistic Models for Ensemble Learning—0
ReservoirTTA: Prolonged Test-time Adaptation for Evolving and Recurring Domains—0
ResFeats: Residual Network Based Features for Image Classification—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