SOTAVerified

Semantic Segmentation

Papers

Showing 376400 of 14763 papers

TitleStatusHype
Hierarchical Multi-Scale Attention for Semantic SegmentationCode2
Digital Twin Generation from Visual Data: A SurveyCode2
High-Precision Dichotomous Image Segmentation via Probing Diffusion CapacityCode2
A Simple Latent Diffusion Approach for Panoptic Segmentation and Mask InpaintingCode2
A Simple Image Segmentation Framework via In-Context ExamplesCode2
Dilated Neighborhood Attention TransformerCode2
Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable DiffusionCode2
Ambiguous Medical Image Segmentation using Diffusion ModelsCode2
iFormer: Integrating ConvNet and Transformer for Mobile ApplicationCode2
Diffusion models as plug-and-play priorsCode2
You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure CorrectionCode2
DI-MaskDINO: A Joint Object Detection and Instance Segmentation ModelCode2
DiffAtlas: GenAI-fying Atlas Segmentation via Image-Mask DiffusionCode2
Asymmetric Non-local Neural Networks for Semantic SegmentationCode2
A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic CorrespondenceCode2
In Defense of Online Models for Video Instance SegmentationCode2
AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic SegmentationCode2
DiffBEV: Conditional Diffusion Model for Bird's Eye View PerceptionCode2
AllWeatherNet:Unified Image Enhancement for Autonomous Driving under Adverse Weather and Lowlight-conditionsCode2
DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image SegmentationCode2
DINO in the Room: Leveraging 2D Foundation Models for 3D SegmentationCode2
InvPT: Inverted Pyramid Multi-task Transformer for Dense Scene UnderstandingCode2
IRSAM: Advancing Segment Anything Model for Infrared Small Target DetectionCode2
DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionCode2
Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic ApproximationCode2
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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