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Semantic Segmentation

Papers

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Showing 8376–8400 of 14763 papers

TitleStatusHype
MAMBO-NET: Multi-Causal Aware Modeling Backdoor-Intervention Optimization for Medical Image Segmentation Network—0
Mammogram Edge Detection Using Hybrid Soft Computing Methods—0
MANet: Fine-Tuning Segment Anything Model for Multimodal Remote Sensing Semantic Segmentation—0
Mango Tree Net -- A fully convolutional network for semantic segmentation and individual crown detection of mango trees—0
Manifold-driven Attention Maps for Weakly Supervised Segmentation—0
Attentive Semantic Exploring for Manipulated Face Detection—0
Many Perception Tasks are Highly Redundant Functions of their Input Data—0
Map-aided annotation for pole base detection—0
Mapping Auto-context Decision Forests to Deep ConvNets for Semantic Segmentation—0
Mapping horizontal and vertical urban densification in Denmark with Landsat time-series from 1985 to 2018: a semantic segmentation solution—0
Mapping Temporary Slums from Satellite Imagery using a Semi-Supervised Approach—0
Mapping the ocular surface from monocular videos with an application to dry eye disease grading—0
Mapping Vulnerable Populations with AI—0
MAPUNetR: A Hybrid Vision Transformer and U-Net Architecture for Efficient and Interpretable Medical Image Segmentation—0
Marginal Thresholding in Noisy Image Segmentation—0
Marginal Weighted Maximum Log-likelihood for Efficient Learning of Perturb-and-Map models—0
Marine Debris Detection in Satellite Surveillance using Attention Mechanisms—0
RISAM: Referring Image Segmentation via Mutual-Aware Attention Features—0
MARNet: Multi-Abstraction Refinement Network for 3D Point Cloud Analysis—0
MarsSeg: Mars Surface Semantic Segmentation with Multi-level Extractor and Connector—0
Mask2Anomaly: Mask Transformer for Universal Open-set Segmentation—0
Mask3D: Pre-training 2D Vision Transformers by Learning Masked 3D Priors—0
MaskAdapt: Unsupervised Geometry-Aware Domain Adaptation Using Multimodal Contextual Learning and RGB-Depth Masking—0
MaskAttn-UNet: A Mask Attention-Driven Framework for Universal Low-Resolution Image Segmentation—0
Mask-aware Text-to-Image Retrieval: Referring Expression Segmentation Meets Cross-modal Retrieval—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