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Semantic Segmentation

Papers

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Showing 10301–10350 of 14763 papers

TitleStatusHype
Improving Semi-Supervised Semantic Segmentation with Sliced-Wasserstein Feature Alignment and Uniformity—0
Improving Spatial Codification in Semantic Segmentation—0
Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial Context—0
Improving task-specific representation via 1M unlabelled images without any extra knowledge—0
Improving the accuracy of neural networks in analog computing-in-memory systems by a generalized quantization method—0
Improving the Explain-Any-Concept by Introducing Nonlinearity to the Trainable Surrogate Model—0
Improving the Segmentation of Anatomical Structures in Chest Radiographs using U-Net with an ImageNet Pre-trained Encoder—0
Improving Training on Noisy Stuctured Labels—0
Improving Translation Invariance in Convolutional Neural Networks with Peripheral Prediction Padding—0
Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation—0
Improving Unsupervised Video Object Segmentation with Motion-Appearance Synergy—0
Improving Unsupervised Video Object Segmentation via Fake Flow Generation—0
Improving Weakly-Supervised Object Localization By Micro-Annotation—0
Incomplete Multimodal Learning for Remote Sensing Data Fusion—0
In-context learning for medical image segmentation—0
In-Context Translation: Towards Unifying Image Recognition, Processing, and Generation—0
Incorporating Boundary Uncertainty into loss functions for biomedical image segmentation—0
Incorporating Depth into both CNN and CRF for Indoor Semantic Segmentation—0
Incorporating Feature Pyramid Tokenization and Open Vocabulary Semantic Segmentation—0
Incorporating Human Domain Knowledge in 3D LiDAR-based Semantic Segmentation—0
Incorporating Near-Infrared Information into Semantic Image Segmentation—0
Incorporating Network Built-in Priors in Weakly-supervised Semantic Segmentation—0
Incorporating prior knowledge in medical image segmentation: a survey—0
Increasing the Robustness of Semantic Segmentation Models with Painting-by-Numbers—0
Incremental Class Discovery for Semantic Segmentation with RGBD Sensing—0
Incremental Few-Shot Semantic Segmentation via Embedding Adaptive-Update and Hyper-class Representation—0
Incremental Learning for Semantic Segmentation of Large-Scale Remote Sensing Data—0
Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation—0
Incremental Learning on Food Instance Segmentation—0
Incrementer: Transformer for Class-Incremental Semantic Segmentation With Knowledge Distillation Focusing on Old Class—0
In defense of OSVOS—0
Independent Component Alignment for Multi-Task Learning—0
Indirect Supervision to Mitigate Perturbations—0
Indoor Layout Estimation by 2D LiDAR and Camera Fusion—0
Indoor Scene Parsing With Instance Segmentation, Semantic Labeling and Support Relationship Inference—0
Indoor Scene Understanding in 2.5/3D for Autonomous Agents: A Survey—0
Inductive Graph Neural Networks for Moving Object Segmentation—0
Industrial Synthetic Segment Pre-training—0
Inference in Higher Order MRF-MAP Problems With Small and Large Cliques—0
Inference of hidden structures in complex physical systems by multi-scale clustering—0
Inferring M-Best Diverse Labelings in a Single One—0
Semantic Implicit Neural Scene Representations With Semi-Supervised Training—0
InfiNet: Fully Convolutional Networks for Infant Brain MRI Segmentation—0
Influence based explainability of brain tumors segmentation in multimodal Magnetic Resonance Imaging—0
Influence of image segmentation on one-dimensional fluid dynamics predictions in the mouse pulmonary arteries—0
Influence of Prompting Strategies on Segment Anything Model (SAM) for Short-axis Cardiac MRI segmentation—0
InfoGaussian: Structure-Aware Dynamic Gaussians through Lightweight Information Shaping—0
Information Entropy Based Feature Pooling for Convolutional Neural Networks—0
Informing selection of performance metrics for medical image segmentation evaluation using configurable synthetic errors—0
InfoSeg: Unsupervised Semantic Image Segmentation with Mutual Information Maximization—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
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