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Semantic Segmentation

Papers

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Showing 7851–7875 of 14763 papers

TitleStatusHype
Deep Joint Task Learning for Generic Object Extraction—0
IPixMatch: Boost Semi-supervised Semantic Segmentation with Inter-Pixel Relation—0
IPatch: A Remote Adversarial Patch—0
Deep Joint Source-Channel Coding for Multi-Task Network—0
AWF: Adaptive Weight Fusion for Enhanced Class Incremental Semantic Segmentation—0
Location Augmentation for CNN—0
IoU is not submodular—0
InvSeg: Test-Time Prompt Inversion for Semantic Segmentation—0
Deep Integrated Pipeline of Segmentation Guided Classification of Breast Cancer from Ultrasound Images—0
Invisible-to-Visible: Privacy-Aware Human Instance Segmentation using Airborne Ultrasound via Collaborative Learning Variational Autoencoder—0
Deep Instance Segmentation with Automotive Radar Detection Points—0
Investigations on the inference optimization techniques and their impact on multiple hardware platforms for Semantic Segmentation—0
Investigation of Frame Differences as Motion Cues for Video Object Segmentation—0
Deep Instance Segmentation and Visual Servoing to Play Jenga with a Cost-Effective Robotic System—0
A Weakly Supervised Method for Instance Segmentation of Biological Cells—0
A Low Rank Promoting Prior for Unsupervised Contrastive Learning—0
LoG-CAN: local-global Class-aware Network for semantic segmentation of remote sensing images—0
LOGCAN++: Adaptive Local-global class-aware network for semantic segmentation of remote sensing imagery—0
ODES: Domain Adaptation with Expert Guidance for Online Medical Image Segmentation—0
Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation—0
3D Segmentation Learning from Sparse Annotations and Hierarchical Descriptors—0
Investigation of Energy-efficient AI Model Architectures and Compression Techniques for "Green" Fetal Brain Segmentation—0
Investigating Vulnerability to Adversarial Examples on Multimodal Data Fusion in Deep Learning—0
Investigating the feature collection for semantic segmentation via single skip connection—0
Investigating Self-Supervised Methods for Label-Efficient Learning—0
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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