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Semantic Segmentation

Papers

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Showing 6601–6650 of 14763 papers

TitleStatusHype
Latent Graph Attention for Enhanced Spatial Context—0
Improving Community Resiliency and Emergency Response With Artificial Intelligence—0
Fully Convolutional Neural Networks for Crowd Segmentation—0
Improving CT Image Segmentation Accuracy Using StyleGAN Driven Data Augmentation—0
Improving Deep Learning through Automatic Programming—0
Improving Dermoscopic Image Segmentation with Enhanced Convolutional-Deconvolutional Networks—0
Fully Convolutional Neural Network for Semantic Segmentation of Anatomical Structure and Pathologies in Colour Fundus Images Associated with Diabetic Retinopathy—0
Improving extreme weather events detection with light-weight neural networks—0
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation—0
Improving Facial Landmark Detection Accuracy and Efficiency with Knowledge Distillation—0
Improving FHB Screening in Wheat Breeding Using an Efficient Transformer Model—0
Improving Data-Efficient Fossil Segmentation via Model Editing—0
Improving Fully Convolution Network for Semantic Segmentation—0
Improving Generalization Capability of Deep Learning-Based Nuclei Instance Segmentation by Non-deterministic Train Time and Deterministic Test Time Stain Normalization—0
Fully Convolutional Networks with Sequential Information for Robust Crop and Weed Detection in Precision Farming—0
Fully Convolutional Neural Networks to Detect Clinical Dermoscopic Features—0
Improving Gradient Flow with Unrolled Highway Expectation Maximization—0
Improving Hyperspectral Adversarial Robustness Under Multiple Attacks—0
Improving Image Coding for Machines through Optimizing Encoder via Auxiliary Loss—0
Improving Image co-segmentation via Deep Metric Learning—0
Automatic counting of mounds on UAV images: combining instance segmentation and patch-level correction—0
Improving Learning Effectiveness For Object Detection and Classification in Cluttered Backgrounds—0
Associating Spatially-Consistent Grouping with Text-supervised Semantic Segmentation—0
AF_2: Adaptive Focus Framework for Aerial Imagery Segmentation—0
Fully Convolutional Multi-scale Residual DenseNets for Cardiac Segmentation and Automated Cardiac Diagnosis using Ensemble of Classifiers—0
ConES: Concept Embedding Search for Parameter Efficient Tuning Large Vision Language Models—0
Fully Convolutional Deep Network Architectures for Automatic Short Glass Fiber Semantic Segmentation from CT scans—0
Improving Multi-Modal Learning with Uni-Modal Teachers—0
Fully Convolutional Adaptation Networks for Semantic Segmentation—0
Improving Normalization with the James-Stein Estimator—0
Improving Online Performance Prediction for Semantic Segmentation—0
Improving Open-Set Semantic Segmentation in 3D Point Clouds by Conditional Channel Capacity Maximization: Preliminary Results—0
Improving Pallet Detection Using Synthetic Data—0
Improving Performance of Semantic Segmentation CycleGANs by Noise Injection into the Latent Segmentation Space—0
Improving Pixel-based MIM by Reducing Wasted Modeling Capability—0
Improving Pixel Embedding Learning through Intermediate Distance Regression Supervision for Instance Segmentation—0
Improving Point Cloud Semantic Segmentation by Learning 3D Object Detection—0
Improving Polyphonic Sound Event Detection on Multichannel Recordings with the Sørensen-Dice Coefficient Loss and Transfer Learning—0
Fully Connected Deep Structured Networks—0
Improving Predictive Performance and Calibration by Weight Fusion in Semantic Segmentation—0
Fully Complex-valued Fully Convolutional Multi-feature Fusion Network (FC2MFN) for Building Segmentation of InSAR images—0
Improving RANSAC-Based Segmentation Through CNN Encapsulation—0
3rd Place Scheme on Instance Segmentation Track of ICCV 2021 VIPriors Challenges—0
Improving Robustness of Semantic Segmentation to Motion-Blur Using Class-Centric Augmentation—0
Improving Segment Anything on the Fly: Auxiliary Online Learning and Adaptive Fusion for Medical Image Segmentation—0
Associating Inter-Image Salient Instances for Weakly Supervised Semantic Segmentation—0
Fully-Automatic Synapse Prediction and Validation on a Large Data Set—0
Improving Semantic Segmentation in Transformers using Hierarchical Inter-Level Attention—0
Improving Semantic Segmentation of Aerial Images Using Patch-based Attention—0
When Segmentation is Not Enough: Rectifying Visual-Volume Discordance Through Multisensor Depth-Refined Semantic Segmentation for Food Intake Tracking in Long-Term Care—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