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Semantic Segmentation

Papers

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Showing 14351–14400 of 14763 papers

TitleStatusHype
Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation—0
Generic Perceptual Loss for Modeling Structured Output Dependencies—0
GenMM: Geometrically and Temporally Consistent Multimodal Data Generation for Video and LiDAR—0
Gen-n-Val: Agentic Image Data Generation and Validation—0
Geodesic Models with Convexity Shape Prior—0
Geodesic Paths for Image Segmentation with Implicit Region-based Homogeneity Enhancement—0
GeoF: Geodesic Forests for Learning Coupled Predictors—0
GeoLayout: Geometry Driven Room Layout Estimation Based on Depth Maps of Planes—0
Geometric Deep Learning and Equivariant Neural Networks—0
Geometric Feature Prompting of Image Segmentation Models—0
Geometric Framework for Cell Oversegmentation—0
Geometric Generative Gaze Estimation (G3E) for Remote RGB-D Cameras—0
Geometric Image Synthesis—0
Geometric Learning-Based Transformer Network for Estimation of Segmentation Errors—0
Geometric Unsupervised Domain Adaptation for Semantic Segmentation—0
Geometry Aware Field-to-field Transformations for 3D Semantic Segmentation—0
Geometry-Aware Fruit Grasping Estimation for Robotic Harvesting in Orchards—0
Geometry-Aware Network for Domain Adaptive Semantic Segmentation—0
Geometry-Aware Recurrent Neural Networks for Active Visual Recognition—0
Geometry-Aware Segmentation of Remote Sensing Images via Implicit Height Estimation—0
Geometry-Constrained Monocular Scale Estimation Using Semantic Segmentation for Dynamic Scenes—0
Geometry in Active Learning for Binary and Multi-class Image Segmentation—0
Geomorphological Analysis Using Unpiloted Aircraft Systems, Structure from Motion, and Deep Learning—0
Category-Adaptive Domain Adaptation for Semantic Segmentation—0
GH-Feat: Learning Versatile Generative Hierarchical Features from GANs—0
GHOST: Grounded Human Motion Generation with Open Vocabulary Scene-and-Text Contexts—0
GIGP: A Global Information Interacting and Geometric Priors Focusing Framework for Semi-supervised Medical Image Segmentation—0
G-image Segmentation: Similarity-preserving Fuzzy C-Means with Spatial Information Constraint in Wavelet Space—0
GIMP and Wavelets for Medical Image Processing: Enhancing Images of the Fundus of the Eye—0
GIMP-ML: Python Plugins for using Computer Vision Models in GIMP—0
GIN: Generative INvariant Shape Prior for Amodal Instance Segmentation—0
GitNet: Geometric Prior-based Transformation for Birds-Eye-View Segmentation—0
Gland Instance Segmentation by Deep Multichannel Side Supervision—0
Gland Instance Segmentation by Deep Multichannel Neural Networks—0
Gland Instance Segmentation Using Deep Multichannel Neural Networks—0
Glass Segmentation Using Intensity and Spectral Polarization Cues—0
GLFNET: Global-Local (frequency) Filter Networks for efficient medical image segmentation—0
GLH-Water: A Large-Scale Dataset for Global Surface Water Detection in Large-Size Very-High-Resolution Satellite Imagery—0
GLID: Pre-training a Generalist Encoder-Decoder Vision Model—0
Global 6DOF Pose Estimation from Untextured 2D City Models—0
Global and Local Texture Randomization for Synthetic-to-Real Semantic Segmentation—0
Global Attention-Guided Dual-Domain Point Cloud Feature Learning for Classification and Segmentation—0
Global Average Feature Augmentation for Robust Semantic Segmentation with Transformers—0
Global Collinearity-aware Polygonizer for Polygonal Building Mapping in Remote Sensing—0
Global context reasoning for semantic segmentation of 3d point clouds—0
Global Deconvolutional Networks for Semantic Segmentation—0
Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images—0
Global Hierarchical Attention for 3D Point Cloud Analysis—0
Global Image Segmentation Process using Machine Learning algorithm & Convolution Neural Network method for Self- Driving Vehicles—0
Rethinking the Global Knowledge of CLIP in Training-Free Open-Vocabulary 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