SOTAVerified

Semantic Segmentation

Papers

Showing 201225 of 14763 papers

TitleStatusHype
Distribution-Free, Risk-Controlling Prediction SetsCode2
DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative DataCode2
Domain Adaptation with a Single Vision-Language EmbeddingCode2
Dynamic in Static: Hybrid Visual Correspondence for Self-Supervised Video Object SegmentationCode2
Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic ApproximationCode2
DaCapo: a modular deep learning framework for scalable 3D image segmentationCode2
Dilated Neighborhood Attention TransformerCode2
AllWeatherNet:Unified Image Enhancement for Autonomous Driving under Adverse Weather and Lowlight-conditionsCode2
Diversified and Personalized Multi-rater Medical Image SegmentationCode2
Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale DatasetCode2
Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image SegmentationCode2
DreamColour: Controllable Video Colour Editing without TrainingCode2
Ambiguous Medical Image Segmentation using Diffusion ModelsCode2
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
Adaptive Bidirectional Displacement for Semi-Supervised Medical Image SegmentationCode2
Dynamic Tuning Towards Parameter and Inference Efficiency for ViT AdaptationCode2
DytanVO: Joint Refinement of Visual Odometry and Motion Segmentation in Dynamic EnvironmentsCode2
Earth-Adapter: Bridge the Geospatial Domain Gaps with Mixture of Frequency AdaptationCode2
EasyPortrait -- Face Parsing and Portrait Segmentation DatasetCode2
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt TuningCode2
Adapter is All You Need for Tuning Visual TasksCode2
Digital Twin Generation from Visual Data: A SurveyCode2
DI-MaskDINO: A Joint Object Detection and Instance Segmentation ModelCode2
DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image SegmentationCode2
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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