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Semantic Segmentation

Papers

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Showing 10751–10800 of 14763 papers

TitleStatusHype
Attention Models for Point Clouds in Deep Learning: A Survey—0
Direct Estimation of Appearance Models for Segmentation—0
Contour Loss for Instance Segmentation via k-step Distance Transformation Image—0
Bayesian Deep Learning for Segmentation for Autonomous Safe Planetary Landing—0
Improved Semantic Segmentation of Tuberculosis-consistent findings in Chest X-rays Using Augmented Training of Modality-specific U-Net Models with Weak Localizations—0
CellTrack R-CNN: A Novel End-To-End Deep Neural Network for Cell Segmentation and Tracking in Microscopy ImagesCode0
EMDS-5: Environmental Microorganism Image Dataset Fifth Version for Multiple Image Analysis Tasks—0
Center Smoothing: Certified Robustness for Networks with Structured OutputsCode0
Adaptable Deformable Convolutions for Semantic Segmentation of Fisheye Images in Autonomous Driving Systems—0
Scribble-Supervised Semantic Segmentation by Uncertainty Reduction on Neural Representation and Self-Supervision on Neural Eigenspace—0
One Shot Model For COVID-19 Classification and Lesions Segmentation In Chest CT Scans Using LSTM With Attention MechanismCode0
One Shot Model For COVID-19 Classification and Lesions Segmentation In Chest CT Scans Using LSTM With Attention MechanismCode0
Benefits of Linear Conditioning with Metadata for Image Segmentation—0
A Thorough View of Exact Inference in Graphs from the Degree-4 Sum-of-Squares Hierarchy—0
EfficientLPS: Efficient LiDAR Panoptic Segmentation—0
Uncertainty-based method for improving poorly labeled segmentation datasets—0
On Mathews Correlation Coefficient and Improved Distance Map Loss for Automatic Glacier Calving Front Segmentation in SAR ImageryCode0
OmniDet: Surround View Cameras based Multi-task Visual Perception Network for Autonomous DrivingCode0
Membership Inference Attacks are Easier on Difficult ProblemsCode0
Building outline delineation: From aerial images to polygons with an improved end-to-end learning framework—0
Fast, Accurate Barcode Detection in Ultra High-Resolution ImagesCode0
Segmenting two-dimensional structures with strided tensor networksCode0
Saliency-Aware Class-Agnostic Food Image Segmentation—0
Multi-source Pseudo-label Learning of Semantic Segmentation for the Scene Recognition of Agricultural Mobile Robots—0
INSTA-YOLO: Real-Time Instance Segmentation—0
L-SNet: from Region Localization to Scale Invariant Medical Image Segmentation—0
Exploiting Depth Information for Wildlife MonitoringCode0
Improving Aerial Instance Segmentation in the Dark with Self-Supervised Low Light Enhancement—0
The Hessigheim 3D (H3D) Benchmark on Semantic Segmentation of High-Resolution 3D Point Clouds and Textured Meshes from UAV LiDAR and Multi-View-Stereo—0
End-to-End Deep Learning of Lane Detection and Path Prediction for Real-Time Autonomous Driving—0
3D Object Detection and Instance Segmentation from 3D Range and 2D Color Images—0
RANP: Resource Aware Neuron Pruning at Initialization for 3D CNNsCode0
Semantic Segmentation with Labeling Uncertainty and Class Imbalance—0
A Histogram Thresholding Improvement to Mask R-CNN for Scalable Segmentation of New and Old Rural Buildings—0
(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network—0
A Systematic Approach for MRI Brain Tumor Localization, and Segmentation using Deep Learning and Active Contouring—0
Weight Rescaling: Effective and Robust Regularization for Deep Neural Networks with Batch Normalization—0
Instance and Panoptic Segmentation Using Conditional Convolutions—0
Bidirectional Multi-scale Attention Networks for Semantic Segmentation of Oblique UAV ImageryCode0
Convolutional Neural Network Interpretability with General Pattern Theory—0
TricycleGAN: Unsupervised Image Synthesis and Segmentation Based on Shape Priors—0
TEyeD: Over 20 million real-world eye images with Pupil, Eyelid, and Iris 2D and 3D Segmentations, 2D and 3D Landmarks, 3D Eyeball, Gaze Vector, and Eye Movement Types—0
Tooth Instance Segmentation from Cone-Beam CT Images through Point-based Detection and Gaussian Disentanglement—0
Densely Connected Recurrent Residual (Dense R2UNet) Convolutional Neural Network for Segmentation of Lung CT ImagesCode0
Co-Seg: An Image Segmentation Framework Against Label Corruption—0
[Re] Training Binary Neural Networks using the Bayesian Learning RuleCode0
Segmentation of skin lesions and their attributes using Generative Adversarial Networks—0
ObjectAug: Object-level Data Augmentation for Semantic Image Segmentation—0
Bilateral attention decoder: A lightweight decoder for real-time semantic segmentation—0
DRIV100: In-The-Wild Multi-Domain Dataset and Evaluation for Real-World Domain Adaptation of Semantic 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