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Semantic Segmentation

Papers

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Showing 5651–5700 of 14763 papers

TitleStatusHype
AttentionBoost: Learning What to Attend by Boosting Fully Convolutional Networks—0
Image Segmentation Based on Multiscale Fast Spectral Clustering—0
Convolutional neural networks for medical image segmentation—0
Attention-based U-Net Method for Autonomous Lane Detection—0
Convolutional Neural Networks based automated segmentation and labelling of the lumbar spine X-ray—0
Convolutional Neural Network Interpretability with General Pattern Theory—0
A Comparison of Nature Inspired Algorithms for Multi-threshold Image Segmentation—0
Image segmentation based on the hybrid total variation model and the K-means clustering strategy—0
Convolutional Neural Fabrics—0
Convolutional Gated Recurrent Networks for Video Segmentation—0
A Comparison and Strategy of Semantic Segmentation on Remote Sensing Images—0
Convolutional Deep Denoising Autoencoders for Radio Astronomical Images—0
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation—0
Image Segmentation and Restoration Using Parametric Contours With Free Endpoints—0
Image Segmentation Algorithms Overview—0
Attention Based Semantic Segmentation on UAV Dataset for Natural Disaster Damage Assessment—0
Image Segmentation and Classification for Sickle Cell Disease using Deformable U-Net—0
Attention-based Multi-modal Fusion Network for Semantic Scene Completion—0
A Generative Victim Model for Segmentation—0
Image Segmentation and Processing for Efficient Parking Space Analysis—0
Image segmentation based on histogram of depth and an application in driver distraction detection—0
Image Segmentation Based on the Self-Balancing Mechanism in Virtual 3D Elastic Mesh—0
Attention-Based Multi-Context Guiding for Few-Shot Semantic Segmentation—0
Attention-based fusion of semantic boundary and non-boundary information to improve semantic segmentation—0
A comparative study of semi- and self-supervised semantic segmentation of biomedical microscopy data—0
Image Recognition of Tea Leaf Diseases Based on Convolutional Neural Network—0
ConvFormer: Combining CNN and Transformer for Medical Image Segmentation—0
Attention-based Feature Aggregation—0
DMFormer: Closing the Gap Between CNN and Vision Transformers—0
Convex Shape Representation with Binary Labels for Image Segmentation: Models and Fast Algorithms—0
Attention-based Dual Supervised Decoder for RGBD Semantic Segmentation—0
A Generative Model for Parts-based Object Segmentation—0
Convex Shape Prior for Multi-Object Segmentation Using a Single Level Set Function—0
Convex Shape Prior for Deep Neural Convolution Network based Eye Fundus Images Segmentation—0
Attention-based Class Activation Diffusion for Weakly-Supervised Semantic Segmentation—0
Convexity Shape Prior for Level Set based Image Segmentation Method—0
Convexity Shape Constraints for Image Segmentation—0
Attention-based Assisted Excitation for Salient Object Detection—0
Convex Histogram-Based Joint Image Segmentation with Regularized Optimal Transport Cost—0
Attention Augmented ConvNeXt UNet For Rectal Tumour Segmentation—0
Convex Combination Star Shape Prior for Data-driven Image Semantic Segmentation—0
Convex Color Image Segmentation with Optimal Transport Distances—0
Exploring Limits of Diffusion-Synthetic Training with Weakly Supervised Semantic Segmentation—0
Supervised domain adaptation for building extraction from off-nadir aerial images—0
Image Reconstruction Using Deep Learning—0
Image Segmentation Based on Watershed and Edge Detection Techniques—0
ConvBKI: Real-Time Probabilistic Semantic Mapping Network with Quantifiable Uncertainty—0
Attentional Triple-Encoder Network in Spatiospectral Domains for Medical Image Segmentation—0
ControlUDA: Controllable Diffusion-assisted Unsupervised Domain Adaptation for Cross-Weather Semantic Segmentation—0
GASP, a generalized framework for agglomerative clustering of signed graphs and its application to Instance 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