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Semantic Segmentation

Papers

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Showing 10701–10750 of 14763 papers

TitleStatusHype
Learning Debiased and Disentangled Representations for Semantic Segmentation—0
Learning Deep Representations for Semantic Image Parsing: a Comprehensive Overview—0
Learning Dense Convolutional Embeddings for Semantic Segmentation—0
Learning Densities in Feature Space for Reliable Segmentation of Indoor Scenes—0
Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation—0
Learning Discriminators as Energy Networks in Adversarial Learning—0
Learning Disentangled Representations of Satellite Image Time Series—0
Learning Disentangled Representations via Independent Subspaces—0
Learning Dynamic Hierarchical Models for Anytime Scene Labeling—0
Learning Explicit Object-Centric Representations with Vision Transformers—0
Learning Expressive Prompting With Residuals for Vision Transformers—0
Learning Feature Inversion for Multi-class Anomaly Detection under General-purpose COCO-AD Benchmark—0
Learning for Structured Prediction Using Approximate Subgradient Descent with Working Sets—0
Learning from Exemplars for Interactive Image Segmentation—0
Learning from Mistakes: Self-Regularizing Hierarchical Representations in Point Cloud Semantic Segmentation—0
Learning from Multimodal and Multitemporal Earth Observation Data for Building Damage Mapping—0
Multi-View Representation is What You Need for Point-Cloud Pre-Training—0
Learning from Partial Label Proportions for Whole Slide Image Segmentation—0
Learning from Partially Overlapping Labels: Image Segmentation under Annotation Shift—0
Learning from Pixel-Level Label Noise: A New Perspective for Semi-Supervised Semantic Segmentation—0
Learning from SAM: Harnessing a Foundation Model for Sim2Real Adaptation by Regularization—0
Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation—0
M3Act: Learning from Synthetic Human Group Activities—0
Learning from THEODORE: A Synthetic Omnidirectional Top-View Indoor Dataset for Deep Transfer Learning—0
Learning From Weakly Supervised Data by The Expectation Loss SVM (e-SVM) algorithm—0
Learning Fully Dense Neural Networks for Image Semantic Segmentation—0
Learning Good Features to Transfer Across Tasks and Domains—0
Visually Consistent Hierarchical Image Classification—0
Learning High-level Prior with Convolutional Neural Networks for Semantic Segmentation—0
Learning High-Resolution Domain-Specific Representations with a GAN Generator—0
Learning Hyperspectral Feature Extraction and Classification with ResNeXt Network—0
Learning Image Representations by Completing Damaged Jigsaw Puzzles—0
Learning Instance Activation Maps for Weakly Supervised Instance Segmentation—0
Learning Instance-Specific Adaptation for Cross-Domain Segmentation—0
Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation—0
Learning Local Shape Descriptors from Part Correspondences With Multi-view Convolutional Networks—0
Learning Mask Invariant Mutual Information for Masked Image Modeling—0
Learning Metric Graphs for Neuron Segmentation In Electron Microscopy Images—0
Learning Modality-agnostic Representation for Semantic Segmentation from Any Modalities—0
Learning Motion Patterns in Videos—0
Learning Multi-level Region Consistency with Dense Multi-label Networks for Semantic Segmentation—0
Learning Multi-Modal Class-Specific Tokens for Weakly Supervised Dense Object Localization—0
Learning Multi-Object Tracking and Segmentation from Automatic Annotations—0
Learning Multiple Representations with Inconsistency-Guided Detail Regularization for Mask-Guided Matting—0
Learning Multiscale Consistency for Self-supervised Electron Microscopy Instance Segmentation—0
Learning Neural Eigenfunctions for Unsupervised Semantic Segmentation—0
Learning Degradation-Independent Representations for Camera ISP Pipelines—0
Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation—0
Learning Nuclei Representations with Masked Image Modelling—0
Learning Object Interactions and Descriptions for Semantic Image Segmentation—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