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Semantic Segmentation

Papers

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Showing 7951–7975 of 14763 papers

TitleStatusHype
INT: Instance-Specific Negative Mining for Task-Generic Promptable Segmentation—0
Lung Segmentation in Chest X-rays with Res-CR-Net—0
In The Wild Ellipse Parameter Estimation for Circular Dining Plates and Bowls—0
In the Era of Prompt Learning with Vision-Language Models—0
Inter-slice image augmentation based on frame interpolation for boosting medical image segmentation accuracy—0
Deep FusionNet for Point Cloud Semantic Segmentation—0
A Vanilla Multi-Task Framework for Dense Visual Prediction Solution to 1st VCL Challenge -- Multi-Task Robustness Track—0
Inter-Scale Dependency Modeling for Skin Lesion Segmentation with Transformer-based Networks—0
Deep Free-Form Deformation Network for Object-Mask Registration—0
InterRVOS: Interaction-aware Referring Video Object Segmentation—0
DeepFracture: A Generative Approach for Predicting Brittle Fractures with Neural Discrete Representation Learning—0
AuxNet: Auxiliary tasks enhanced Semantic Segmentation for Automated Driving—0
Interpretable Small Training Set Image Segmentation Network Originated from Multi-Grid Variational Model—0
Interpretable and synergistic deep learning for visual explanation and statistical estimations of segmentation of disease features from medical images—0
Deep feature transfer between localization and segmentation tasks—0
Interpretability-Driven Sample Selection Using Self Supervised Learning For Disease Classification And Segmentation—0
Deep feature selection-and-fusion for RGB-D semantic segmentation—0
Auxiliary Tasks Enhanced Dual-affinity Learning for Weakly Supervised Semantic Segmentation—0
All You Need is LUV: Unsupervised Collection of Labeled Images using Invisible UV Fluorescent Indicators—0
Internal-External Boundary Attention Fusion for Glass Surface Segmentation—0
Deepfake Image Generation for Improved Brain Tumor Segmentation—0
Interior point search for nonparametric image segmentation—0
DeepFake Detection Based on the Discrepancy Between the Face and its Context—0
M^33D: Learning 3D priors using Multi-Modal Masked Autoencoders for 2D image and video understanding—0
Auxiliary Learning by Implicit Differentiation—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