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Semantic Segmentation

Papers

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Showing 12901–12950 of 14763 papers

TitleStatusHype
TMS-Net: A Segmentation Network Coupled With A Run-time Quality Control Method For Robust Cardiac Image SegmentationCode0
Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image SegmentationCode0
VOILA: Complexity-Aware Universal Segmentation of CT images by Voxel Interacting with LanguageCode0
SeeBel: Seeing is BelievingCode0
See and Think: Disentangling Semantic Scene CompletionCode0
SEDNet: Shallow Encoder-Decoder Network for Brain Tumor SegmentationCode0
Securing Neural Networks with Knapsack OptimizationCode0
Negligible effect of brain MRI data preprocessing for tumor segmentationCode0
Seamless Scene SegmentationCode0
Seamless Iterative Semi-Supervised Correction of Imperfect Labels in Microscopy ImagesCode0
Token Sparsification for Faster Medical Image SegmentationCode0
Token Turing Machines are Efficient Vision ModelsCode0
TomatoDIFF: On-plant Tomato Segmentation with Denoising Diffusion ModelsCode0
Multi-Context Temporal Consistent Modeling for Referring Video Object SegmentationCode0
TomatoScanner: phenotyping tomato fruit based on only RGB imageCode0
NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality ReductionCode0
Mining self-similarity: Label super-resolution with epitomic representationsCode0
Minimizing Supervision for Free-space SegmentationCode0
Semantic Segmentation in Satellite Hyperspectral Imagery by Deep LearningCode0
MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous DrivingCode0
Unsupervised Domain Adaptive Fundus Image Segmentation with Category-level RegularizationCode0
Top-Down Beats Bottom-Up in 3D Instance SegmentationCode0
SC-VAE: Sparse Coding-based Variational Autoencoder with Learned ISTACode0
ScribbleVS: Scribble-Supervised Medical Image Segmentation via Dynamic Competitive Pseudo Label SelectionCode0
Scribble-Supervised Semantic Segmentation by Random Walk on Neural Representation and Self-Supervision on Neural EigenspaceCode0
Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited LabelsCode0
PocketNet: A Smaller Neural Network for Medical Image AnalysisCode0
Multichannel Semantic Segmentation with Unsupervised Domain AdaptationCode0
Multi-Aperture Fusion of Transformer-Convolutional Network (MFTC-Net) for 3D Medical Image Segmentation and VisualizationCode0
Scribble-supervised Cell Segmentation Using Multiscale Contrastive RegularizationCode0
MuGNet: Multi-Resolution Graph Neural Network for Large-Scale Pointcloud SegmentationCode0
MineSegSAT: An automated system to evaluate mining disturbed area extents from Sentinel-2 imageryCode0
Unsupervised Foggy Scene Understanding via Self Spatial-Temporal Label DiffusionCode0
MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of AbstractionCode0
Topology-aware Robust Optimization for Out-of-distribution GeneralizationCode0
PM-VIS+: High-Performance Video Instance Segmentation without Video AnnotationCode0
SCORE: Scene Context Matters in Open-Vocabulary Remote Sensing Instance SegmentationCode0
P-MSDiff: Parallel Multi-Scale Diffusion for Remote Sensing Image SegmentationCode0
Unsupervised Hyperspectral Stimulated Raman Microscopy Image Enhancement: Denoising and Segmentation via One-Shot Deep LearningCode0
SCIM: Simultaneous Clustering, Inference, and Mapping for Open-World Semantic Scene UnderstandingCode0
Topology-Preserving Downsampling of Binary ImagesCode0
Unsupervised Image Classification for Deep Representation LearningCode0
Medical Image Segmentation Using Directional Window AttentionCode0
MSN: Efficient Online Mask Selection Network for Video Instance SegmentationCode0
Ro-SOS: Metric Expression Network (MEnet) for Robust Salient Object SegmentationCode0
TopoMortar: A dataset to evaluate image segmentation methods focused on topology accuracyCode0
TopoSeg: Topology-Aware Nuclear Instance SegmentationCode0
To pretrain or not to pretrain? A case study of domain-specific pretraining for semantic segmentation in histopathologyCode0
Yeast cell segmentation in microstructured environments with deep learningCode0
Scene Text Detection with Supervised Pyramid Context NetworkCode0
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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