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Semantic Segmentation

Papers

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Showing 4301–4325 of 14763 papers

TitleStatusHype
Disaggregation of SMAP L3 Brightness Temperatures to 9km using Kernel Machines—0
Boosting Few-Shot Semantic Segmentation Via Segment Anything Model—0
Direct White Matter Bundle Segmentation using Stacked U-Nets—0
Boosting Cross-spectral Unsupervised Domain Adaptation for Thermal Semantic Segmentation—0
Direct Estimation of Appearance Models for Segmentation—0
Atomic number estimation of dual energy cargo radiographs using a semiempirical transparency model—0
Boosting Box-supervised Instance Segmentation with Pseudo Depth—0
An Automated Real-Time Approach for Image Processing and Segmentation of Fluoroscopic Images and Videos Using a Single Deep Learning Network—0
Boosted Training of Convolutional Neural Networks for Multi-Class Segmentation—0
DINOv2-powered Few-Shot Semantic Segmentation: A Unified Framework via Cross-Model Distillation and 4D Correlation Mining—0
Multi-Scale Denoising in the Feature Space for Low-Light Instance Segmentation—0
An Augmentation-based Model Re-adaptation Framework for Robust Image Segmentation—0
Adaptive Feature Fusion Neural Network for Glaucoma Segmentation on Unseen Fundus Images—0
Feature-enhanced Adversarial Semi-supervised Semantic Segmentation Network for Pulmonary Embolism Annotation—0
BoLTVOS: Box-Level Tracking for Video Object Segmentation—0
Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation—0
An Attentive Representative Sample Selection Strategy Combined with Balanced Batch Training for Skin Lesion Segmentation—0
Feature Decoupling-Recycling Network for Fast Interactive Segmentation—0
Feature Fusion Encoder Decoder Network For Automatic Liver Lesion Segmentation—0
DiM: f-Divergence Minimization Guided Sharpness-Aware Optimization for Semi-supervised Medical Image Segmentation—0
Dimensions of Motion: Monocular Prediction through Flow Subspaces—0
Bold Hearts Team Description for RoboCup 2019 (Humanoid Kid Size League)—0
BOLD: Boolean Logic Deep Learning—0
Feature-Based Lie Group Transformer for Real-World Applications—0
BodyGAN: General-Purpose Controllable Neural Human Body Generation—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