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Semantic Segmentation

Papers

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Showing 7751–7775 of 14763 papers

TitleStatusHype
A Semantic Consistency Feature Alignment Object Detection Model Based on Mixed-Class Distribution Metrics—0
Combining Multi-level Contexts of Superpixel using Convolutional Neural Networks to perform Natural Scene Labeling—0
Few-Shot Meta-Learning on Point Cloud for Semantic Segmentation—0
Adversarial Pixel-Level Generation of Semantic Images—0
Few-Shot Medical Image Segmentation with Large Kernel Attention—0
Message Passing Inference for Large Scale Graphical Models with High Order Potentials—0
Few-shot Medical Image Segmentation with Cycle-resemblance Attention—0
Flexibly Regularized Mixture Models and Application to Image Segmentation—0
Few-shot Medical Image Segmentation using a Global Correlation Network with Discriminative Embedding—0
Combining Implicit-Explicit View Correlation for Light Field Semantic Segmentation—0
A Semantic-aware Attention and Visual Shielding Network for Cloth-changing Person Re-identification—0
Few-Shot Learning for Annotation-Efficient Nucleus Instance Segmentation—0
Few-shot image segmentation for cross-institution male pelvic organs using registration-assisted prototypical learning—0
DGNet: Distribution Guided Efficient Learning for Oil Spill Image Segmentation—0
DGSSA: Domain generalization with structural and stylistic augmentation for retinal vessel segmentation—0
Accurate and efficient zero-shot 6D pose estimation with frozen foundation models—0
Adversarial normalization for multi domain image segmentation—0
MESA: Matching Everything by Segmenting Anything—0
DGST : Discriminator Guided Scene Text detector—0
Lightweight Road Environment Segmentation using Vector Quantization—0
A Task-driven Network for Mesh Classification and Semantic Part Segmentation—0
MESSI: A Multi-Elevation Semantic Segmentation Image Dataset of an Urban Environment—0
Few-shot brain segmentation from weakly labeled data with deep heteroscedastic multi-task networks—0
Light-Weight Vision Transformer with Parallel Local and Global Self-Attention—0
Few-Shot Adaptation of Training-Free Foundation Model for 3D Medical Image Segmentation—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
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