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Semantic Segmentation

Papers

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Showing 7801–7825 of 14763 papers

TitleStatusHype
ISCUTE: Instance Segmentation of Cables Using Text Embedding—0
Deep Learning and Machine Learning -- Object Detection and Semantic Segmentation: From Theory to Applications—0
Is Continual Learning Ready for Real-world Challenges?—0
Deep learning and its application to medical image segmentation—0
AlphaNet: An Attention Guided Deep Network for Automatic Image Matting—0
Live-wire 3D medical images segmentation—0
ISAR: A Benchmark for Single- and Few-Shot Object Instance Segmentation and Re-Identification—0
Deep Leaning-Based Ultra-Fast Stair Detection—0
LIX: Implicitly Infusing Spatial Geometric Prior Knowledge into Visual Semantic Segmentation for Autonomous Driving—0
Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification—0
LKASeg:Remote-Sensing Image Semantic Segmentation with Large Kernel Attention and Full-Scale Skip Connections—0
Irregular Convolutional Neural Networks—0
LlamaSeg: Image Segmentation via Autoregressive Mask Generation—0
AxonCallosumEM Dataset: Axon Semantic Segmentation of Whole Corpus Callosum cross section from EM Images—0
Iris Recognition with a Database of Iris Images Obtained in Visible Light Using Smartphone Camera—0
Iris recognition in cases of eye pathology—0
LLM-Guided Taxonomy and Hierarchical Uncertainty for 3D Point CLoud Active Learning—0
Deep Label Fusion: A 3D End-to-End Hybrid Multi-Atlas Segmentation and Deep Learning Pipeline—0
Axial Attention Transformer Networks: A New Frontier in Breast Cancer Detection—0
ALP: Action-Aware Embodied Learning for Perception—0
Active Learning Inspired ControlNet Guidance for Augmenting Semantic Segmentation Datasets—0
LMSeg: A deep graph message-passing network for efficient and accurate semantic segmentation of large-scale 3D landscape meshes—0
IPPON: Common Sense Guided Informative Path Planning for Object Goal Navigation—0
Local Background Estimation for Improved Gas Plume Identification in Hyperspectral Images—0
iPose: Instance-Aware 6D Pose Estimation of Partly Occluded Objects—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