SOTAVerified

Semantic Segmentation

Papers

Showing 351375 of 14763 papers

TitleStatusHype
Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable DiffusionCode2
DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionCode2
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
AllWeatherNet:Unified Image Enhancement for Autonomous Driving under Adverse Weather and Lowlight-conditionsCode2
FEC: Fast Euclidean Clustering for Point Cloud SegmentationCode2
Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary SegmentationCode2
Find First, Track Next: Decoupling Identification and Propagation in Referring Video Object SegmentationCode2
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point CloudsCode2
ASAM: Boosting Segment Anything Model with Adversarial TuningCode2
DFormer: Rethinking RGBD Representation Learning for Semantic SegmentationCode2
FreeSOLO: Learning to Segment Objects without AnnotationsCode2
Are Vision xLSTM Embedded UNet More Reliable in Medical 3D Image Segmentation?Code2
Frozen CLIP: A Strong Backbone for Weakly Supervised Semantic SegmentationCode2
ARKit LabelMaker: A New Scale for Indoor 3D Scene UnderstandingCode2
Full Page Handwriting Recognition via Image to Sequence ExtractionCode2
Generalized Few-Shot Meets Remote Sensing: Discovering Novel Classes in Land Cover Mapping via Hybrid Semantic Segmentation FrameworkCode2
Diffusion models as plug-and-play priorsCode2
Generative Active Learning for Long-tailed Instance SegmentationCode2
Generative AI Enables Medical Image Segmentation in Ultra Low-Data RegimesCode2
GLaMM: Pixel Grounding Large Multimodal ModelCode2
Densely Connected Parameter-Efficient Tuning for Referring Image SegmentationCode2
Global Context Vision TransformersCode2
GLUS: Global-Local Reasoning Unified into A Single Large Language Model for Video SegmentationCode2
DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTsCode2
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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