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Semantic Segmentation

Papers

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Showing 13551–13600 of 14763 papers

TitleStatusHype
Dual-View Selective Instance Segmentation Network for Unstained Live Adherent Cells in Differential Interference Contrast Images—0
DuctTake: Spatiotemporal Video Compositing—0
DUDES: Deep Uncertainty Distillation using Ensembles for Semantic Segmentation—0
DUFormer: Solving Power Line Detection Task in Aerial Images using Semantic Segmentation—0
DVNet: A Memory-Efficient Three-Dimensional CNN for Large-Scale Neurovascular Reconstruction—0
A Semi-Self-Supervised Approach for Dense-Pattern Video Object Segmentation—0
Dwelling Type Classification for Disaster Risk Assessment Using Satellite Imagery—0
DWRSeg: Rethinking Efficient Acquisition of Multi-scale Contextual Information for Real-time Semantic Segmentation—0
DyCON: Dynamic Uncertainty-aware Consistency and Contrastive Learning for Semi-supervised Medical Image Segmentation—0
DynAlign: Unsupervised Dynamic Taxonomy Alignment for Cross-Domain Segmentation—0
Dynamic Adaptation on Non-Stationary Visual Domains—0
Dynamically evolving segment anything model with continuous learning for medical image segmentation—0
Dynamically pruning segformer for efficient semantic segmentation—0
ACSeg: Adaptive Conceptualization for Unsupervised Semantic Segmentation—0
Dynamic Feature Integration for Simultaneous Detection of Salient Object, Edge and Skeleton—0
Dynamic Feature Regularized Loss for Weakly Supervised Semantic Segmentation—0
Dynamic Gaussian Splatting from Markerless Motion Capture can Reconstruct Infants Movements—0
Dynamic Group Transformer: A General Vision Transformer Backbone with Dynamic Group Attention—0
Dynamic loss balancing and sequential enhancement for road-safety assessment and traffic scene classification—0
Dynamic Multiscale Tree Learning Using Ensemble Strong Classifiers for Multi-label Segmentation of Medical Images with Lesions—0
Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation—0
Dynamic Region-Aware Convolution—0
Dynamic region proposal networks for semantic segmentation in automated glaucoma screening—0
Dynamic Filtering with Large Sampling Field for ConvNets—0
Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments—0
Dynamic Scale Inference by Entropy Minimization—0
Dynamic Snake Upsampling Operater and Boundary-Skeleton Weighted Loss for Tubular Structure Segmentation—0
Dynamic Spectrum Mixer for Visual Recognition—0
Dynamic-structured Semantic Propagation Network—0
Dynamic Token-Pass Transformers for Semantic Segmentation—0
Dynamic Y-KD: A Hybrid Approach to Continual Instance Segmentation—0
DynaMITe: Dynamic Query Bootstrapping for Multi-object Interactive Segmentation Transformer—0
DynaSLAM II: Tightly-Coupled Multi-Object Tracking and SLAM—0
EAA-Net: Rethinking the Autoencoder Architecture with Intra-class Features for Medical Image Segmentation—0
EADNet: Efficient Asymmetric Dilated Network for Semantic Segmentation—0
EAGLE: An Efficient Global Attention Lesion Segmentation Model for Hepatic Echinococcosis—0
EAGLE: Efficient Adaptive Geometry-based Learning in Cross-view Understanding—0
Early Explorations of Lightweight Models for Wound Segmentation on Mobile Devices—0
Early Fusion of Features for Semantic Segmentation—0
EarthSynth: Generating Informative Earth Observation with Diffusion Models—0
EasyLabel: A Semi-Automatic Pixel-wise Object Annotation Tool for Creating Robotic RGB-D Datasets—0
EAUWSeg: Eliminating annotation uncertainty in weakly-supervised medical image segmentation—0
EAVL: Explicitly Align Vision and Language for Referring Image Segmentation—0
EBHI-Seg: A Novel Enteroscope Biopsy Histopathological Haematoxylin and Eosin Image Dataset for Image Segmentation Tasks—0
ECMNet:Lightweight Semantic Segmentation with Efficient CNN-Mamba Network—0
econSG: Efficient and Multi-view Consistent Open-Vocabulary 3D Semantic Gaussians—0
ECPC-IDS:A benchmark endometrail cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions—0
ECS-Net: Improving Weakly Supervised Semantic Segmentation by Using Connections Between Class Activation Maps—0
EDC3: Ensemble of Deep-Classifiers using Class-specific Copula functions to Improve Semantic Image Segmentation—0
EDDense-Net: Fully Dense Encoder Decoder Network for Joint Segmentation of Optic Cup and Disc—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