SOTAVerified

Semantic Segmentation

Papers

Showing 201225 of 14763 papers

TitleStatusHype
Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image 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
DreamColour: Controllable Video Colour Editing without TrainingCode2
Dynamic Tuning Towards Parameter and Inference Efficiency for ViT AdaptationCode2
A large annotated medical image dataset for the development and evaluation of segmentation algorithmsCode2
DaCapo: a modular deep learning framework for scalable 3D image segmentationCode2
Distribution-Free, Risk-Controlling Prediction SetsCode2
Does Image Anonymization Impact Computer Vision Training?Code2
Domain Adaptation with a Single Vision-Language EmbeddingCode2
AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic SegmentationCode2
DINO in the Room: Leveraging 2D Foundation Models for 3D SegmentationCode2
DSNet: A Novel Way to Use Atrous Convolutions in Semantic SegmentationCode2
3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentationCode2
1st Place Solution for PSG competition with ECCV'22 SenseHuman WorkshopCode2
DytanVO: Joint Refinement of Visual Odometry and Motion Segmentation in Dynamic EnvironmentsCode2
EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic SegmentationCode2
Earth-Adapter: Bridge the Geospatial Domain Gaps with Mixture of Frequency AdaptationCode2
AiTLAS: Artificial Intelligence Toolbox for Earth ObservationCode2
DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative DataCode2
ParC-Net: Position Aware Circular Convolution with Merits from ConvNets and TransformerCode2
EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision ApplicationsCode2
Digital Twin Generation from Visual Data: A SurveyCode2
Dilated Neighborhood Attention TransformerCode2
Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable DiffusionCode2
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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