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Semantic Segmentation

Papers

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Showing 501–550 of 14763 papers

TitleStatusHype
CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image FusionCode2
SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose EstimationCode2
DreamLIP: Language-Image Pre-training with Long CaptionsCode2
DreamColour: Controllable Video Colour Editing without TrainingCode2
SAMM (Segment Any Medical Model): A 3D Slicer Integration to SAMCode2
CellViT: Vision Transformers for Precise Cell Segmentation and ClassificationCode2
Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto PromptingCode2
DSNet: A Novel Way to Use Atrous Convolutions in Semantic SegmentationCode2
Domain Adaptation with a Single Vision-Language EmbeddingCode2
SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite ImageryCode2
An End-to-End Robust Point Cloud Semantic Segmentation Network with Single-Step Conditional Diffusion ModelsCode2
Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image SegmentationCode2
DuPL: Dual Student with Trustworthy Progressive Learning for Robust Weakly Supervised Semantic SegmentationCode2
EasyPortrait -- Face Parsing and Portrait Segmentation DatasetCode2
Efficient Video Object Segmentation via Modulated Cross-Attention MemoryCode2
Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary SegmentationCode2
DINO in the Room: Leveraging 2D Foundation Models for 3D SegmentationCode2
Distribution-Free, Risk-Controlling Prediction SetsCode2
Dilated Neighborhood Attention TransformerCode2
Digital Twin Generation from Visual Data: A SurveyCode2
DI-MaskDINO: A Joint Object Detection and Instance Segmentation ModelCode2
DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative DataCode2
A Multi-objective Optimization Benchmark Test Suite for Real-time Semantic SegmentationCode2
Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable DiffusionCode2
Diffusion models as plug-and-play priorsCode2
A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and BenchmarkCode2
DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image SegmentationCode2
Diversified and Personalized Multi-rater Medical Image SegmentationCode2
DFormer: Rethinking RGBD Representation Learning for Semantic SegmentationCode2
Ambiguous Medical Image Segmentation using Diffusion ModelsCode2
DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionCode2
DiffAtlas: GenAI-fying Atlas Segmentation via Image-Mask DiffusionCode2
DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTsCode2
AllWeatherNet:Unified Image Enhancement for Autonomous Driving under Adverse Weather and Lowlight-conditionsCode2
Delivering Arbitrary-Modal Semantic SegmentationCode2
Deep Video Prior for Video Consistency and PropagationCode2
AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic SegmentationCode2
Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic ApproximationCode2
Delineate Anything: Resolution-Agnostic Field Boundary Delineation on Satellite ImageryCode2
DiffBEV: Conditional Diffusion Model for Bird's Eye View PerceptionCode2
Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale DatasetCode2
Decoupling Features in Hierarchical Propagation for Video Object SegmentationCode2
A large annotated medical image dataset for the development and evaluation of segmentation algorithmsCode2
Deep Covariance Alignment for Domain Adaptive Remote Sensing Image SegmentationCode2
Deep Snake for Real-Time Instance SegmentationCode2
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and LocalizationCode2
DDP: Diffusion Model for Dense Visual PredictionCode2
AiTLAS: Artificial Intelligence Toolbox for Earth ObservationCode2
Densely Connected Parameter-Efficient Tuning for Referring Image SegmentationCode2
DeCLIP: Decoupled Learning for Open-Vocabulary Dense PerceptionCode2
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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