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Semantic Segmentation

Papers

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Showing 12501–12550 of 14763 papers

TitleStatusHype
SFA-UNet: More Attention to Multi-Scale Contrast and Contextual Information in Infrared Small Object SegmentationCode0
Severability of mesoscale components and local time scales in dynamical networksCode0
SeqSAM: Autoregressive Multiple Hypothesis Prediction for Medical Image Segmentation using SAMCode0
Sentinel 2 Time Series Analysis with 3D Feature Pyramid Network and Time Domain Class Activation Intervals for Crop MappingCode0
SENSE: a Shared Encoder Network for Scene-flow EstimationCode0
One-pass Multi-task Networks with Cross-task Guided Attention for Brain Tumor SegmentationCode0
SemSegBench & DetecBench: Benchmarking Reliability and Generalization Beyond ClassificationCode0
Semi-Supervised Semantic Segmentation With Region RelevanceCode0
SwinVFTR: A Novel Volumetric Feature-learning Transformer for 3D OCT Fluid SegmentationCode0
Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image SegmentationCode0
SwIPE: Efficient and Robust Medical Image Segmentation with Implicit Patch EmbeddingsCode0
Switchable Whitening for Deep Representation LearningCode0
MMTM: Multimodal Transfer Module for CNN FusionCode0
On Enhancing Brain Tumor Segmentation Across Diverse Populations with Convolutional Neural NetworksCode0
MELAGE: A purely python based Neuroimaging software (Neonatal)Code0
Symbolic Graph Reasoning Meets ConvolutionsCode0
Uncertainty in Real-Time Semantic Segmentation on Embedded SystemsCode0
Semi-Supervised Semantic Segmentation with Cross Teacher TrainingCode0
Uncertainty Measures and Prediction Quality Rating for the Semantic Segmentation of Nested Multi Resolution Street Scene ImagesCode0
Quaternion-valued Correlation Learning for Few-Shot Semantic SegmentationCode0
WT-BCP: Wavelet Transform based Bidirectional Copy-Paste for Semi-Supervised Medical Image SegmentationCode0
Quantized Neural Networks via -1, +1 Encoding Decomposition and AccelerationCode0
Semi-supervised Semantic Segmentation with Multi-Constraint Consistency LearningCode0
WUDA: Unsupervised Domain Adaptation Based on Weak Source Domain LabelsCode0
Weakly Supervised Semantic Segmentation using Out-of-Distribution DataCode0
SynCo: Synthetic Hard Negatives in Contrastive Learning for Better Unsupervised Visual RepresentationsCode0
Semi-Supervised Semantic Segmentation with High- and Low-level ConsistencyCode0
ZoDi: Zero-Shot Domain Adaptation with Diffusion-Based Image TransferCode0
Quantifying Urban Canopy Cover with Deep Convolutional Neural NetworksCode0
Semi-Supervised Semantic Segmentation via Marginal Contextual InformationCode0
Semi-supervised Medical Image Segmentation via Query Distribution ConsistencyCode0
On Boosting Semantic Street Scene Segmentation with Weak SupervisionCode0
Uncertainty Quantification using Variational Inference for Biomedical Image SegmentationCode0
OmniDet: Surround View Cameras based Multi-task Visual Perception Network for Autonomous DrivingCode0
Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph ConsensusCode0
Uncertainty Quantified Deep Learning and Regression Analysis Framework for Image Segmentation of Skin Cancer LesionsCode0
OMEGAS: Object Mesh Extraction from Large Scenes Guided by Gaussian SegmentationCode0
SynSeg-Net: Synthetic Segmentation Without Target Modality Ground TruthCode0
Semi-supervised Learning for Aggregated Multilayer Graphs Using Diffuse Interface Methods and Fast Matrix Vector ProductsCode0
ODFNet: Using orientation distribution functions to characterize 3D point cloudsCode0
Synthesis in Style: Semantic Segmentation of Historical Documents using Synthetic DataCode0
Semi-Supervised Domain Generalization for Cardiac Magnetic Resonance Image Segmentation with High Quality Pseudo LabelsCode0
Medical supervised masked autoencoders: Crafting a better masking strategy and efficient fine-tuning schedule for medical image classificationCode0
Uncertainty-weighted Loss Functions for Improved Adversarial Attacks on Semantic SegmentationCode0
Quantifying the Limits of Segmentation Foundation Models: Modeling Challenges in Segmenting Tree-Like and Low-Contrast ObjectsCode0
Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective InferenceCode0
Semi-supervised Domain Adaptation based on Dual-level Domain Mixing for Semantic SegmentationCode0
Quantifying Knee Cartilage Shape and Lesion: From Image to MetricsCode0
Understanding Convolution for Semantic SegmentationCode0
Quadtree Generating Networks: Efficient Hierarchical Scene Parsing with Sparse ConvolutionsCode0
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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