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Semantic Segmentation

Papers

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Showing 13101–13150 of 14763 papers

TitleStatusHype
Learning Segmentation Masks with the Independence Prior—0
Deep Learning Approach for Building Detection in Satellite Multispectral Imagery—0
Automatic Brain Structures Segmentation Using Deep Residual Dilated U-Net—0
The Method of Multimodal MRI Brain Image Segmentation Based on Differential Geometric Features—0
Validating Hyperspectral Image SegmentationCode0
Deep Semantic Instance Segmentation of Tree-like Structures Using Synthetic Data—0
Large-Scale Visual Active Learning with Deep Probabilistic Ensembles—0
An End-to-end Approach to Semantic Segmentation with 3D CNN and Posterior-CRF in Medical Images—0
Adaptive Semantic Segmentation with a Strategic Curriculum of Proxy Labels—0
Learning to Steer by Mimicking Features from Heterogeneous Auxiliary NetworksCode0
Bootstrapping single-channel source separation via unsupervised spatial clustering on stereo mixtures—0
Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and BeyondCode0
Deep feature transfer between localization and segmentation tasks—0
Unsupervised RGBD Video Object Segmentation Using GANs—0
Towards a Near Universal Time Series Data Mining Tool: Introducing the Matrix Profile—0
RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scansCode0
Geometry-Aware Recurrent Neural Networks for Active Visual Recognition—0
Deep Structured Prediction with Nonlinear Output TransformationsCode0
Consistent estimation of the max-flow problem: Towards unsupervised image segmentation—0
Pixel Level Data Augmentation for Semantic Image Segmentation using Generative Adversarial Networks—0
Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax ProbabilitiesCode0
Rain Removal in Traffic Surveillance: Does it Matter?Code0
Contextual Hourglass Network for Semantic Segmentation of High Resolution Aerial Imagery—0
Incremental Learning for Semantic Segmentation of Large-Scale Remote Sensing Data—0
Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial LearningCode0
Multi-Spectral Imaging via Computed Tomography (MUSIC) - Comparing Unsupervised Spectral Segmentations for Material Differentiation—0
Accelerated Inference in Markov Random Fields via Smooth Riemannian OptimizationCode0
3D MRI brain tumor segmentation using autoencoder regularizationCode0
A Miniaturized Semantic Segmentation Method for Remote Sensing ImageCode0
Whetstone: A Method for Training Deep Artificial Neural Networks for Binary Communication—0
UAVid: A Semantic Segmentation Dataset for UAV ImageryCode0
Mask Propagation Network for Video Object Segmentation—0
Coarse-to-fine volumetric segmentation of teeth in Cone-Beam CT—0
Learning color space adaptation from synthetic to real images of cirrus clouds—0
Automated Evaluation of Semantic Segmentation Robustness for Autonomous Driving—0
CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation—0
Deblending galaxy superpositions with branched generative adversarial networksCode0
Self-Erasing Network for Integral Object Attention—0
SG-One: Similarity Guidance Network for One-Shot Semantic SegmentationCode0
Saliency guided deep network for weakly-supervised image segmentation—0
Fast Graph-Cut Based Optimization for Practical Dense Deformable Registration of Volume ImagesCode0
CVABS: Moving Object Segmentation with Common Vector Approach for VideosCode0
A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentationCode0
Domain Adaptation for Semantic Segmentation via Class-Balanced Self-TrainingCode0
Investigating Object Compositionality in Generative Adversarial Networks—0
LadderNet: Multi-path networks based on U-Net for medical image segmentationCode0
Video Object Segmentation using Teacher-Student Adaptation in a Human Robot Interaction (HRI) SettingCode0
UnrealROX: An eXtremely Photorealistic Virtual Reality Environment for Robotics Simulations and Synthetic Data GenerationCode0
Generating Self-Guided Dense Annotations for Weakly Supervised Semantic Segmentation—0
CNN-based Preprocessing to Optimize Watershed-based Cell Segmentation in 3D Confocal Microscopy Images—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