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Semantic Segmentation

Papers

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Showing 14251–14300 of 14763 papers

TitleStatusHype
Fully Transformer-Equipped Architecture for End-to-End Referring Video Object Segmentation—0
Fully Transformer Networks for Semantic Image Segmentation—0
Fully Using Classifiers for Weakly Supervised Semantic Segmentation with Modified Cues—0
Function Norms and Regularization in Deep Networks—0
FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images—0
Fuse4Seg: Image-Level Fusion Based Multi-Modality Medical Image Segmentation—0
Fuse & Calibrate: A bi-directional Vision-Language Guided Framework for Referring Image Segmentation—0
Fused Deep Neural Networks for Efficient Pedestrian Detection—0
Fused DNN: A deep neural network fusion approach to fast and robust pedestrian detection—0
Fused Text Segmentation Networks for Multi-oriented Scene Text Detection—0
Fusion Based Holistic Road Scene Understanding—0
Fusion from Decomposition: A Self-Supervised Approach for Image Fusion and Beyond—0
Fusion of Image Segmentation Algorithms using Consensus Clustering—0
Fusion of Multispectral Data Through Illumination-aware Deep Neural Networks for Pedestrian Detection—0
FusionSAM: Latent Space driven Segment Anything Model for Multimodal Fusion and Segmentation—0
FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging—0
Future Segmentation Using 3D Structure—0
Future semantic segmentation of time-lapsed videos with large temporal displacement—0
Future Semantic Segmentation with Convolutional LSTM—0
Future Video Prediction from a Single Frame for Video Anomaly Detection—0
Fuzzy Clustering Based Segmentation Of Vertebrae in T1-Weighted Spinal MR Images—0
Fuzzy Rank-based Late Fusion Technique for Cytology image Segmentation—0
Fuzzy Semantic Segmentation of Breast Ultrasound Image with Breast Anatomy Constraints—0
Fuzzy Superpixel-based Image Segmentation—0
FVOS for MOSE Track of 4th PVUW Challenge: 3rd Place Solution—0
FVP: Fourier Visual Prompting for Source-Free Unsupervised Domain Adaptation of Medical Image Segmentation—0
G2L: A Global to Local Alignment Method for Unsupervised Domain Adaptive Semantic Segmentation—0
GAEI-UNet: Global Attention and Elastic Interaction U-Net for Vessel Image Segmentation—0
GAGS: Granularity-Aware Feature Distillation for Language Gaussian Splatting—0
Gamifying Video Object Segmentation—0
GA-NET: Global Attention Network for Point Cloud Semantic Segmentation—0
GANtruth - an unpaired image-to-image translation method for driving scenarios—0
GAN- vs. JPEG2000 Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation—0
GAPLE: Generalizable Approaching Policy LEarning for Robotic Object Searching in Indoor Environment—0
GASA-UNet: Global Axial Self-Attention U-Net for 3D Medical Image Segmentation—0
GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation—0
Gastric histopathology image segmentation using a hierarchical conditional random field—0
Gated CRF Loss for Weakly Supervised Semantic Image Segmentation—0
Gated Feedback Refinement Network for Coarse-to-Fine Dense Semantic Image Labeling—0
Gated Path Selection Network for Semantic Segmentation—0
GAUDA: Generative Adaptive Uncertainty-guided Diffusion-based Augmentation for Surgical Segmentation—0
Gauge Equivariant Spherical CNNs—0
GaussianBeV: 3D Gaussian Representation meets Perception Models for BeV Segmentation—0
Gaussian Building Mesh (GBM): Extract a Building's 3D Mesh with Google Earth and Gaussian Splatting—0
Gaussian Conditional Random Field Network for Semantic Segmentation—0
Gaussian Dynamic Convolution for Efficient Single-Image Segmentation—0
Gaussian Filter in CRF Based Semantic Segmentation—0
Gaussian Heritage: 3D Digitization of Cultural Heritage with Integrated Object Segmentation—0
Gaussian Radar Transformer for Semantic Segmentation in Noisy Radar Data—0
Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into Medical 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