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Semantic Segmentation

Papers

Showing 526550 of 14763 papers

TitleStatusHype
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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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-H (M3I Pre-training)Params (M)1,310Unverified
2ViT-P (InternImage-H)Validation mIoU63.6Unverified
3ONE-PEACEValidation mIoU63Unverified
4M3I Pre-training (InternImage-H)Validation mIoU62.9Unverified
5InternImage-HValidation 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