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Semantic Segmentation

Papers

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Showing 10501–10550 of 14763 papers

TitleStatusHype
Uma implementação do jogo Pedra, Papel e Tesoura utilizando Visao ComputacionalCode0
Semantic segmentation of multispectral photoacoustic images using deep learning—0
Prototype Guided Federated Learning of Visual Feature Representations—0
Dynamic region proposal networks for semantic segmentation in automated glaucoma screening—0
Deep Active Contours Using Locally Controlled Distance Vector Flow—0
Content Disentanglement for Semantically Consistent Synthetic-to-Real Domain AdaptationCode0
Temporal Prediction and Evaluation of Brassica Growth in the Field using Conditional Generative Adversarial Networks—0
Voxel-level Siamese Representation Learning for Abdominal Multi-Organ Segmentation—0
AtomAI: A Deep Learning Framework for Analysis of Image and Spectroscopy Data in (Scanning) Transmission Electron Microscopy and Beyond—0
Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy—0
Aerial-PASS: Panoramic Annular Scene Segmentation in Drone Videos—0
Instance Segmentation of Microscopic ForaminiferaCode0
Attentional Prototype Inference for Few-Shot SegmentationCode0
VICE: Visual Identification and Correction of Neural Circuit Errors—0
Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation—0
Superevents: Towards Native Semantic Segmentation for Event-based Cameras—0
Object-Based Augmentation Improves Quality of Remote Sensing Semantic Segmentation—0
Weakly supervised pan-cancer segmentation tool—0
PillarSegNet: Pillar-based Semantic Grid Map Estimation using Sparse LiDAR Data—0
Deep feature selection-and-fusion for RGB-D semantic segmentation—0
An Attention-Fused Network for Semantic Segmentation of Very-High-Resolution Remote Sensing Imagery—0
MDA-Net: Multi-Dimensional Attention-Based Neural Network for 3D Image Segmentation—0
Beyond Monocular Deraining: Parallel Stereo Deraining Network Via Semantic Prior—0
Attention-Based 3D Seismic Fault Segmentation Training by a Few 2D Slice Labels—0
More Separable and Easier to Segment: A Cluster Alignment Method for Cross-Domain Semantic Segmentation—0
An Intelligent Passive Food Intake Assessment System with Egocentric Cameras—0
A^2-FPN: Attention Aggregation based Feature Pyramid Network for Instance Segmentation—0
A Novel Falling-Ball Algorithm for Image Segmentation—0
Bayesian Logistic Shape Model Inference: application to cochlea image segmentation—0
Instance segmentation of fallen trees in aerial color infrared imagery using active multi-contour evolution with fully convolutional network-based intensity priors—0
Encoder Fusion Network with Co-Attention Embedding for Referring Image Segmentation—0
Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation—0
CUAB: Convolutional Uncertainty Attention Block Enhanced the Chest X-ray Image Analysis—0
Weakly Supervised Pseudo-Label assisted Learning for ALS Point Cloud Semantic Segmentation—0
R2U3D: Recurrent Residual 3D U-Net for Lung Segmentation—0
Moving SLAM: Fully Unsupervised Deep Learning in Non-Rigid Scenes—0
Scale Equivariant Neural Networks with Morphological Scale-Spaces—0
Combining Supervised and Un-supervised Learning for Automatic Citrus Segmentation—0
Computer vision for liquid samples in hospitals and medical labs using hierarchical image segmentation and relations predictionCode0
IPatch: A Remote Adversarial Patch—0
Improved Real-Time Monocular SLAM Using Semantic Segmentation on Selective Frames—0
Reproducibility of "FDA: Fourier Domain Adaptation forSemantic SegmentationCode0
Pyramid Medical Transformer for Medical Image Segmentation—0
Rethinking Ensemble-Distillation for Semantic Segmentation Based Unsupervised Domain AdaptationCode0
A Rigid Registration Method in TEVAR—0
AttendSeg: A Tiny Attention Condenser Neural Network for Semantic Segmentation on the Edge—0
CASSOD-Net: Cascaded and Separable Structures of Dilated Convolution for Embedded Vision Systems and Applications—0
Crack Semantic Segmentation using the U-Net with Full Attention Strategy—0
A Deep Learning Object Detection Method for an Efficient Clusters Initialization—0
Distributional Gaussian Process Layers for Outlier Detection in 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
4InternImage-HValidation mIoU62.9—Unverified
5M3I Pre-training (InternImage-H)Validation 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