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Semantic Segmentation

Papers

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Showing 13751–13800 of 14763 papers

TitleStatusHype
End-to-End Pedestrian Collision Warning System based on a Convolutional Neural Network with Semantic Segmentation—0
Brain Segmentation from k-space with End-to-end Recurrent Attention Network—0
End-to-end semantic face segmentation with conditional random fields as convolutional, recurrent and adversarial networks—0
End-to-End Tracking and Semantic Segmentation Using Recurrent Neural Networks—0
End-to-End Trainable Deep Active Contour Models for Automated Image Segmentation: Delineating Buildings in Aerial Imagery—0
End to End Video Segmentation for Driving : Lane Detection For Autonomous Car—0
Energy-based Domain-Adaptive Segmentation with Depth Guidance—0
Energy-constrained Self-training for Unsupervised Domain Adaptation—0
ENet-21: An Optimized light CNN Structure for Lane Detection—0
Enforcing Perceptual Consistency on Generative Adversarial Networks by Using the Normalised Laplacian Pyramid Distance—0
Enhanced Neuromorphic Semantic Segmentation Latency through Stream Event—0
Enhanced Prototypical Learning for Unsupervised Domain Adaptation in LiDAR Semantic Segmentation—0
Multilateral Cascading Network for Semantic Segmentation of Large-Scale Outdoor Point Clouds—0
Enhanced Soft Label for Semi-Supervised Semantic Segmentation—0
Enhanced Uncertainty Estimation in Ultrasound Image Segmentation with MSU-Net—0
Enhancement of 3D Camera Synthetic Training Data with Noise Models—0
Enhancing Building Semantic Segmentation Accuracy with Super Resolution and Deep Learning: Investigating the Impact of Spatial Resolution on Various Datasets—0
Enhancing Cell Instance Segmentation in Scanning Electron Microscopy Images via a Deep Contour Closing Operator—0
Enhancing DeepLabV3+ to Fuse Aerial and Satellite Images for Semantic Segmentation—0
Enhancing Ecological Monitoring with Multi-Objective Optimization: A Novel Dataset and Methodology for Segmentation Algorithms—0
Enhancing Foreground Boundaries for Medical Image Segmentation—0
Enhancing Generalizability of Representation Learning for Data-Efficient 3D Scene Understanding—0
Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments—0
Enhancing Label-Driven Deep Deformable Image Registration with Local Distance Metrics for State-of-the-Art Cardiac Motion Tracking—0
Enhancing Label-efficient Medical Image Segmentation with Text-guided Diffusion Models—0
Enhancing Medical Image Segmentation: Optimizing Cross-Entropy Weights and Post-Processing with Autoencoders—0
Enhancing Medical Image Segmentation with Deep Learning and Diffusion Models—0
Enhancing Multi-Robot Perception via Learned Data Association—0
Enhancing Navigation Benchmarking and Perception Data Generation for Row-based Crops in Simulation—0
Enhancing Nucleus Segmentation with HARU-Net: A Hybrid Attention Based Residual U-Blocks Network—0
Enhancing Perception and Immersion in Pre-Captured Environments through Learning-Based Eye Height Adaptation—0
Enhancing Performance of Vision Transformers on Small Datasets through Local Inductive Bias Incorporation—0
Enhancing Power Grid Inspections with Machine Learning—0
Enhancing Question Answering Precision with Optimized Vector Retrieval and Instructions—0
Enhancing Representations through Heterogeneous Self-Supervised Learning—0
Enhancing Road Maps by Parsing Aerial Images Around the World—0
Enhancing Roadway Safety: LiDAR-based Tree Clearance Analysis—0
Enhancing Rock Image Segmentation in Digital Rock Physics: A Fusion of Generative AI and State-of-the-Art Neural Networks—0
Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation—0
Enhancing Self-Supervised Fine-Grained Video Object Tracking with Dynamic Memory Prediction—0
Enhancing Semantic Segmentation with Adaptive Focal Loss: A Novel Approach—0
Enhancing Shape Perception and Segmentation Consistency for Industrial Image Inspection—0
Enhancing Transformers Through Conditioned Embedded Tokens—0
Enhancing Visual Domain Adaptation with Source Preparation—0
Enhancing Weakly Supervised Semantic Segmentation with Multi-modal Foundation Models: An End-to-End Approach—0
Enhancing Weakly Supervised Semantic Segmentation for Fibrosis via Controllable Image Generation—0
ENInst: Enhancing Weakly-supervised Low-shot Instance Segmentation—0
Enrich the content of the image Using Context-Aware Copy Paste—0
Ensemble Learning based on Classifier Prediction Confidence and Comprehensive Learning Particle Swarm Optimisation for polyp localisation—0
Ensemble Methods for Multi-Organ Segmentation in CT Series—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