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Semantic Segmentation

Papers

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Showing 9401–9450 of 14763 papers

TitleStatusHype
Unsupervised Domain Adaptation by Optical Flow Augmentation in Semantic Segmentation—0
Multi-Exit Semantic Segmentation Networks—0
MESSI: A Multi-Elevation Semantic Segmentation Image Dataset of an Urban Environment—0
Unsupervised Domain Adaptation for Mobile Semantic Segmentation based on Cycle Consistency and Feature Alignment—0
Unsupervised Domain Adaptation for Point Cloud Semantic Segmentation via Graph Matching—0
Why semantics matters: A deep study on semantic particle-filtering localization in a LiDAR semantic pole-map—0
Unsupervised Domain Adaptation for Semantic Segmentation by Content Transfer—0
Unsupervised Domain Adaptation for Semantic Segmentation via Low-level Edge Information Transfer—0
Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Survey—0
WiCo: Win-win Cooperation of Bottom-up and Top-down Referring Image Segmentation—0
Unsupervised Domain Adaptation for Medical Image Segmentation via Feature-space Density Matching—0
Unsupervised Domain Adaptation for Semantic Segmentation with Pseudo Label Self-Refinement—0
Unsupervised Domain Adaptation for Video Semantic Segmentation—0
Unsupervised Domain Adaptation in LiDAR Semantic Segmentation with Self-Supervision and Gated Adapters—0
Unsupervised Domain Adaptation in Semantic Segmentation: a Review—0
Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning—0
Unsupervised Domain Adaptation in Semantic Segmentation Based on Pixel Alignment and Self-Training—0
Unsupervised Domain Adaptation Network with Category-Centric Prototype Aligner for Biomedical Image Segmentation—0
Multi-encoder nnU-Net outperforms Transformer models with self-supervised pretraining—0
Multi-domain semantic segmentation with pyramidal fusion—0
Wide-Area Land Cover Mapping with Sentinel-1 Imagery using Deep Learning Semantic Segmentation Models—0
Unsupervised domain adaptation via coarse-to-fine feature alignment method using contrastive learning—0
Unsupervised Domain Adaptation via CycleGAN for White Matter Hyperintensity Segmentation in Multicenter MR Images—0
Unsupervised Domain Adaptation Via Pseudo-labels And Objectness Constraints—0
Unsupervised Domain Adaptation with Variational Approximation for Cardiac Segmentation—0
Unsupervised Domain Adaptation with Implicit Pseudo Supervision for Semantic Segmentation—0
Unsupervised Domain Adaptation with Multiple Domain Discriminators and Adaptive Self-Training—0
Unsupervised Domain Adaptation of Object Detectors: A Survey—0
Message Passing Inference for Large Scale Graphical Models with High Order Potentials—0
Unsupervised Domain Adaptive Fundus Image Segmentation with Few Labeled Source Data—0
Multi-Domain Learning by Meta-Learning: Taking Optimal Steps in Multi-Domain Loss Landscapes by Inner-Loop Learning—0
fMBN-E: Efficient Unsupervised Network Structure Ensemble and Selection for Clustering—0
Unsupervised Fault Detection using SAM with a Moving Window Approach—0
Unsupervised Feature Clustering Improves Contrastive Representation Learning for Medical Image Segmentation—0
Unsupervised Federated Domain Adaptation for Segmentation of MRI Images—0
Wild Animal Classifier Using CNN—0
Learning Foreground-Background Segmentation from Improved Layered GANs—0
Multi-Disease-Aware Training Strategy for Cardiac MR Image Segmentation—0
Multi-dimension Transformer with Attention-based Filtering for Medical Image Segmentation—0
Medical Image Segmentation Based on Multi-Modal Convolutional Neural Network: Study on Image Fusion Schemes—0
WildDash - Creating Hazard-Aware Benchmarks—0
Unsupervised image segmentation by Global and local Criteria Optimization Based on Bayesian Networks—0
Unsupervised Image Segmentation by Mutual Information Maximization and Adversarial Regularization—0
Unsupervised image segmentation using a simple MRF model with a new implementation scheme—0
Unsupervised Image Segmentation using Mutual Mean-Teaching—0
Unsupervised Image Segmentation using the Deffuant-Weisbuch Model from Social Dynamics—0
Consistent estimation of the max-flow problem: Towards unsupervised image segmentation—0
Unsupervised Image Semantic Segmentation through Superpixels and Graph Neural Networks—0
A Task-driven Network for Mesh Classification and Semantic Part Segmentation—0
Multi-dimensional topological loss for cortical plate segmentation in fetal brain MRI—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