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Semantic Segmentation

Papers

Showing 36513700 of 14763 papers

TitleStatusHype
BenchCloudVision: A Benchmark Analysis of Deep Learning Approaches for Cloud Detection and Segmentation in Remote Sensing ImageryCode1
Detection and Retrieval of Out-of-Distribution Objects in Semantic SegmentationCode1
Benchmarking and Analysis of Unsupervised Object Segmentation from Real-world Single ImagesCode1
LineFormer: Rethinking Line Chart Data Extraction as Instance SegmentationCode1
Breaking Shortcut: Exploring Fully Convolutional Cycle-Consistency for Video Correspondence LearningCode1
Detection and Segmentation of Lesion Areas in Chest CT Scans For The Prediction of COVID-19Code1
Deep Multi-Threshold Spiking-UNet for Image ProcessingCode1
Lite-HRNet: A Lightweight High-Resolution NetworkCode1
MISm: A Medical Image Segmentation Metric for Evaluation of weak labeled DataCode1
LinkNet: Exploiting Encoder Representations for Efficient Semantic SegmentationCode1
Mirror Complementary Transformer Network for RGB-thermal Salient Object DetectionCode1
SUPS: A Simulated Underground Parking Scenario Dataset for Autonomous DrivingCode1
Detecting Anomalies in Semantic Segmentation with PrototypesCode1
MI-SegNet: Mutual Information-Based US Segmentation for Unseen Domain GeneralizationCode1
Detect, consolidate, delineate: scalable mapping of field boundaries using satellite imagesCode1
LLMBind: A Unified Modality-Task Integration FrameworkCode1
LIVECell—A large-scale dataset for label-free live cell segmentationCode1
Livelayer: A Semi-Automatic Software Program for Segmentation of Layers and Diabetic Macular Edema in Optical Coherence Tomography ImagesCode1
LKCell: Efficient Cell Nuclei Instance Segmentation with Large Convolution KernelsCode1
MISeval: a Metric Library for Medical Image Segmentation EvaluationCode1
Benchmarking Segmentation Models with Mask-Preserved Attribute EditingCode1
MisMatch: Calibrated Segmentation via Consistency on Differential Morphological Feature Perturbations with Limited LabelsCode1
Design of a Graphical User Interface for Few-Shot Machine Learning Classification of Electron Microscopy DataCode1
Swin2-MoSE: A New Single Image Super-Resolution Model for Remote SensingCode1
Deep Variational Instance SegmentationCode1
LM-Net: A Light-weight and Multi-scale Network for Medical Image SegmentationCode1
Detect Any Shadow: Segment Anything for Video Shadow DetectionCode1
Swin-LiteMedSAM: A Lightweight Box-Based Segment Anything Model for Large-Scale Medical Image DatasetsCode1
DermSynth3D: Synthesis of in-the-wild Annotated Dermatology ImagesCode1
2D Semantic-Guided Semantic Scene CompletionCode1
DeepVoxNet2: Yet another CNN frameworkCode1
A Multi-Level Approach to Waste Object SegmentationCode1
DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image SegmentationCode1
Local Temperature Scaling for Probability CalibrationCode1
Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic SegmentationCode1
Swin-Unet: Unet-like Pure Transformer for Medical Image SegmentationCode1
SynDrone -- Multi-modal UAV Dataset for Urban ScenariosCode1
Location-Sensitive Visual Recognition with Cross-IOU LossCode1
Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic SegmentationCode1
DEFN: Dual-Encoder Fourier Group Harmonics Network for Three-Dimensional Indistinct-Boundary Object SegmentationCode1
Learning with Unmasked Tokens Drives Stronger Vision LearnersCode1
Deformable ConvNets v2: More Deformable, Better ResultsCode1
Deformable Convolutional NetworksCode1
LogoSP: Local-global Grouping of Superpoints for Unsupervised Semantic Segmentation of 3D Point CloudsCode1
Mining Unseen Classes via Regional Objectness: A Simple Baseline for Incremental SegmentationCode1
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal EffectCode1
Deformable Kernel Networks for Joint Image FilteringCode1
Deformable Mamba for Wide Field of View SegmentationCode1
BerDiff: Conditional Bernoulli Diffusion Model for Medical Image SegmentationCode1
Depthformer : Multiscale Vision Transformer For Monocular Depth Estimation With Local Global Information FusionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-H (M3I Pre-training)Params (M)1,310Unverified
2ViT-P (InternImage-H)Validation mIoU63.6Unverified
3ONE-PEACEValidation mIoU63Unverified
4InternImage-HValidation mIoU62.9Unverified
5M3I Pre-training (InternImage-H)Validation mIoU62.9Unverified
6BEiT-3Validation mIoU62.8Unverified
7EVAValidation mIoU62.3Unverified
8ViT-P (OneFormer, InternImage-H)Validation mIoU61.6Unverified
9ViT-Adapter-L (Mask2Former, BEiTv2 pretrain)Validation mIoU61.5Unverified
10FD-SwinV2-GValidation mIoU61.4Unverified