SOTAVerified

Semantic Segmentation

Papers

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Showing 6951–6975 of 14763 papers

TitleStatusHype
Detection of Customer Interested Garments in Surveillance Video using Computer Vision—0
Detection of Condensed Vehicle Gas Exhaust in LiDAR Point Clouds—0
Detection and Tracking of Liquids with Fully Convolutional Networks—0
Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning—0
Bidirectional Knowledge Reconfiguration for Lightweight Point Cloud Analysis—0
An Advert Creation System for 3D Product Placements—0
Detection and Prediction of Nutrient Deficiency Stress using Longitudinal Aerial Imagery—0
Bidirectional Graph Reasoning Network for Panoptic Segmentation—0
Bidirectional Feature Globalization for Few-shot Semantic Segmentation of 3D Point Cloud Scenes—0
An Adversarial Regularisation for Semi-Supervised Training of Structured Output Neural Networks—0
Detecting Reflections by Combining Semantic and Instance Segmentation—0
Detecting Novelties with Empty Classes—0
Detecting Lane and Road Markings at A Distance with Perspective Transformer Layers—0
Joint 2D to 3D image registration workflow for comparing multiple slice photographs and CT scans of apple fruit with internal disorders—0
Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation—0
An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation—0
Adapting Vision Foundation Models for Real-time Ultrasound Image Segmentation—0
Adapting Vision Foundation Models for Plant Phenotyping—0
Generalist Models in Medical Image Segmentation: A Survey and Performance Comparison with Task-Specific Approaches—0
RGB and LiDAR fusion based 3D Semantic Segmentation for Autonomous Driving—0
tsmp: An R Package for Time Series with Matrix Profile—0
Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps—0
Detecting Endangered Marine Species in Autonomous Underwater Vehicle Imagery Using Point Annotations and Few-Shot Learning—0
Detecting diabetic retinopathy severity through fundus images using an ensemble of classifiers—0
Detecting Deepfake-Forged Contents with Separable Convolutional Neural Network and Image 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