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Semantic Segmentation

Papers

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Showing 5801–5850 of 14763 papers

TitleStatusHype
Extracting Object Heights From LiDAR & Aerial Imagery—0
SHARP-Net: A Refined Pyramid Network for Deficiency Segmentation in Culverts and Sewer Pipes—0
SegStitch: Multidimensional Transformer for Robust and Efficient Medical Imaging SegmentationCode0
A Simple Background Augmentation Method for Object Detection with Diffusion Model—0
Advancing Medical Image Segmentation: Morphology-Driven Learning with Diffusion TransformerCode0
Synthetic dual image generation for reduction of labeling efforts in semantic segmentation of micrographs with a customized metric function—0
Adaptive Mix for Semi-Supervised Medical Image Segmentation—0
RoadFormer+: Delivering RGB-X Scene Parsing through Scale-Aware Information Decoupling and Advanced Heterogeneous Feature Fusion—0
On-the-fly Point Feature Representation for Point Clouds Analysis—0
Leveraging Adaptive Implicit Representation Mapping for Ultra High-Resolution Image Segmentation—0
Robust Box Prompt based SAM for Medical Image Segmentation—0
MTA-CLIP: Language-Guided Semantic Segmentation with Mask-Text Alignment—0
Evaluating SAM2's Role in Camouflaged Object Detection: From SAM to SAM2Code0
Strike the Balance: On-the-Fly Uncertainty based User Interactions for Long-Term Video Object SegmentationCode0
Knowledge-Guided Prompt Learning for Lifespan Brain MR Image SegmentationCode0
Enhanced Uncertainty Estimation in Ultrasound Image Segmentation with MSU-Net—0
Fine-grained Metrics for Point Cloud Semantic Segmentation—0
CC-SAM: SAM with Cross-feature Attention and Context for Ultrasound Image Segmentation—0
DDU-Net: A Domain Decomposition-Based CNN for High-Resolution Image Segmentation on Multiple GPUsCode0
MaskUno: Switch-Split Block For Enhancing Instance Segmentation—0
PLANesT-3D: A new annotated dataset for segmentation of 3D plant point clouds—0
Learning Ordinality in Semantic Segmentation—0
Distribution-Aware Replay for Continual MRI Segmentation—0
Segmenting Fetal Head with Efficient Fine-tuning Strategies in Low-resource Settings: an empirical study with U-Net—0
Dense Self-Supervised Learning for Medical Image Segmentation—0
ALEN: A Dual-Approach for Uniform and Non-Uniform Low-Light Image EnhancementCode0
Rethinking RGB-D Fusion for Semantic Segmentation in Surgical Datasets—0
Robust Conformal Volume Estimation in 3D Medical ImagesCode0
Improving 2D Feature Representations by 3D-Aware Fine-Tuning—0
Language-driven Grasp Detection with Mask-guided Attention—0
ASI-Seg: Audio-Driven Surgical Instrument Segmentation with Surgeon Intention UnderstandingCode0
Sewer Image Super-Resolution with Depth Priors and Its Lightweight Network—0
Few-Shot Medical Image Segmentation with Large Kernel Attention—0
Channel Boosted CNN-Transformer-based Multi-Level and Multi-Scale Nuclei Segmentation—0
Ensembling convolutional neural networks for human skin segmentation—0
Sparse Refinement for Efficient High-Resolution Semantic Segmentation—0
How good nnU-Net for Segmenting Cardiac MRI: A Comprehensive Evaluation—0
Three-dimensional ultrasound-based online system for automated ovarian follicle measurement—0
A Survey on Cell Nuclei Instance Segmentation and Classification: Leveraging Context and Attention—0
Learning Spectral-Decomposed Tokens for Domain Generalized Semantic SegmentationCode0
Local Binary Pattern(LBP) Optimization for Feature Extraction—0
Taxonomy-Aware Continual Semantic Segmentation in Hyperbolic Spaces for Open-World Perception—0
TiCoSS: Tightening the Coupling between Semantic Segmentation and Stereo Matching within A Joint Learning Framework—0
Segmentation-guided MRI reconstruction for meaningfully diverse reconstructionsCode0
Image Segmentation via Divisive Normalization: dealing with environmental diversity—0
Segmentation by registration-enabled SAM prompt engineering using five reference imagesCode0
Topology-Preserving Downsampling of Binary ImagesCode0
Enhancing Ecological Monitoring with Multi-Objective Optimization: A Novel Dataset and Methodology for Segmentation Algorithms—0
PiPa++: Towards Unification of Domain Adaptive Semantic Segmentation via Self-supervised Learning—0
Trans2Unet: Neural fusion for Nuclei Semantic 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