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Semantic Segmentation

Papers

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Showing 8076–8100 of 14763 papers

TitleStatusHype
Collaborative Boundary-aware Context Encoding Networks for Error Map Prediction—0
Feature-enhanced Adversarial Semi-supervised Semantic Segmentation Network for Pulmonary Embolism Annotation—0
MaskClustering: View Consensus based Mask Graph Clustering for Open-Vocabulary 3D Instance Segmentation—0
Multi-Scale Denoising in the Feature Space for Low-Light Instance Segmentation—0
Collaborative Attention Memory Network for Video Object Segmentation—0
Distance transform regression for spatially-aware deep semantic segmentation—0
ARTSeg: Employing Attention for Thermal images Semantic Segmentation—0
Feature Decoupling-Recycling Network for Fast Interactive Segmentation—0
Feature Binding with Category-Dependant MixUp for Semantic Segmentation and Adversarial Robustness—0
Masked Autoencoders Are Stronger Knowledge Distillers—0
Feature-Based Lie Group Transformer for Real-World Applications—0
Collaborative and Adversarial Learning of Focused and Dispersive Representations for Semi-Supervised Polyp Segmentation—0
Artist, Style And Year Classification Using Face Recognition And Clustering With Convolutional Neural Networks—0
Motion Mapping Cognition: A Nondecomposable Primary Process in Human Vision—0
Artistic Instance-Aware Image Filtering by Convolutional Neural Networks—0
FeatSharp: Your Vision Model Features, Sharper—0
COLA: COarse-LAbel multi-source LiDAR semantic segmentation for autonomous driving—0
MOSE: Monocular Semantic Reconstruction Using NeRF-Lifted Noisy Priors—0
Masked Image Modeling Advances 3D Medical Image Analysis—0
Feasible Architecture for Quantum Fully Convolutional Networks—0
Fearless Luminance Adaptation: A Macro-Micro-Hierarchical Transformer for Exposure Correction—0
FDNet: Feature Decoupled Segmentation Network for Tooth CBCT Image—0
Adversarial Identity Injection for Semantic Face Image Synthesis—0
Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain—0
MOSformer: Momentum encoder-based inter-slice fusion transformer for 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