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Semantic Segmentation

Papers

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Showing 6001–6050 of 14763 papers

TitleStatusHype
CoDA: Interactive Segmentation and Morphological Analysis of Dendroid Structures Exemplified on Stony Cold-Water CoralsCode0
Improving EO Foundation Models with Confidence Assessment for enhanced Semantic segmentationCode0
EFCNet: Every Feature Counts for Small Medical Object Segmentation—0
Optimization of Autonomous Driving Image Detection Based on RFAConv and Triplet Attention—0
Mask-Guided Attention U-Net for Enhanced Neonatal Brain Extraction and Image PreprocessingCode0
Depth-Guided Semi-Supervised Instance Segmentation—0
Semi-supervised classification of dental conditions in panoramic radiographs using large language model and instance segmentation: A real-world dataset evaluation—0
Pseudo Labelling for Enhanced Masked Autoencoders—0
Automatically Adaptive Conformal Risk ControlCode0
XAMI -- A Benchmark Dataset for Artefact Detection in XMM-Newton Optical ImagesCode0
Pamba: Enhancing Global Interaction in Point Clouds via State Space Model—0
Investigating Self-Supervised Methods for Label-Efficient Learning—0
Medical Image Segmentation Using Directional Window AttentionCode0
Principal Component Clustering for Semantic Segmentation in Synthetic Data Generation—0
Local-to-Global Cross-Modal Attention-Aware Fusion for HSI-X Semantic Segmentation—0
DocParseNet: Advanced Semantic Segmentation and OCR Embeddings for Efficient Scanned Document AnnotationCode0
Multi-Aperture Fusion of Transformer-Convolutional Network (MFTC-Net) for 3D Medical Image Segmentation and VisualizationCode0
Demystifying the Effect of Receptive Field Size in U-Net Models for Medical Image SegmentationCode0
LOGCAN++: Adaptive Local-global class-aware network for semantic segmentation of remote sensing imagery—0
GMT: Guided Mask Transformer for Leaf Instance SegmentationCode0
μ-Net: A Deep Learning-Based Architecture for μ-CT Segmentation—0
UDHF2-Net: Uncertainty-diffusion-model-based High-Frequency TransFormer Network for Remotely Sensed Imagery Interpretation—0
Fine-grained Background Representation for Weakly Supervised Semantic SegmentationCode0
Self-Supervised Alignment Learning for Medical Image Segmentation—0
Segmenting Dead Sea Scroll Fragments for a Scientific Image Set—0
TraceNet: Segment one thing efficiently—0
SAM-EG: Segment Anything Model with Egde Guidance framework for efficient Polyp Segmentation—0
Trusting Semantic Segmentation Networks—0
FIESTA: Fourier-Based Semantic Augmentation with Uncertainty Guidance for Enhanced Domain Generalizability in Medical Image Segmentation—0
EvSegSNN: Neuromorphic Semantic Segmentation for Event Data—0
Evaluation of Deep Learning Semantic Segmentation for Land Cover Mapping on Multispectral, Hyperspectral and High Spatial Aerial Imagery—0
2nd Place Solution for MeViS Track in CVPR 2024 PVUW Workshop: Motion Expression guided Video Segmentation—0
Deep Learning-Based 3D Instance and Semantic Segmentation: A Review—0
Low-Rank Mixture-of-Experts for Continual Medical Image Segmentation—0
3D Instance Segmentation Using Deep Learning on RGB-D Indoor Data—0
Elliptical AttentionCode0
Trusted Video Inpainting Localization via Deep Attentive Noise LearningCode0
MiSuRe is all you need to explain your image segmentation—0
Privacy Preserving Federated Learning in Medical Imaging with Uncertainty EstimationCode0
ViDSOD-100: A New Dataset and a Baseline Model for RGB-D Video Salient Object DetectionCode0
Agriculture-Vision Challenge 2024 -- The Runner-Up Solution for Agricultural Pattern Recognition via Class Balancing and Model Ensemble—0
GroPrompt: Efficient Grounded Prompting and Adaptation for Referring Video Object Segmentation—0
Competitive Learning for Achieving Content-specific Filters in Video Coding for Machines—0
An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation—0
Discriminative Hamiltonian Variational Autoencoder for Accurate Tumor Segmentation in Data-Scarce Regimes—0
Multimodal Learning With Intraoperative CBCT & Variably Aligned Preoperative CT Data To Improve Segmentation—0
SWCF-Net: Similarity-weighted Convolution and Local-global Fusion for Efficient Large-scale Point Cloud Semantic SegmentationCode0
Visually Consistent Hierarchical Image Classification—0
Learning from Exemplars for Interactive Image Segmentation—0
Enhancing Generalizability of Representation Learning for Data-Efficient 3D Scene Understanding—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