SOTAVerified

Semantic Segmentation

Papers

Showing 35263550 of 14763 papers

TitleStatusHype
1st Place Solution for the 5th LSVOS Challenge: Video Instance SegmentationCode1
Enhancing surgical instrument segmentation: integrating vision transformer insights with adapterCode1
Ensemble CNN Networks for GBM Tumors Segmentation using Multi-parametric MRICode1
Enhancing Pseudo Label Quality for Semi-Supervised Domain-Generalized Medical Image SegmentationCode1
Enhancing Organ at Risk Segmentation with Improved Deep Neural NetworksCode1
Enhancing sea ice segmentation in Sentinel-1 images with atrous convolutionsCode1
Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic SegmentationCode1
Segment Anything Model for Medical Images?Code1
ESL: Entropy-guided Self-supervised Learning for Domain Adaptation in Semantic SegmentationCode1
Enhanced Boundary Learning for Glass-like Object SegmentationCode1
Mutual Consistency Learning for Semi-supervised Medical Image SegmentationCode1
Segmentation of 2D Brain MR ImagesCode1
Segmenter: Transformer for Semantic SegmentationCode1
EP-SAM: Weakly Supervised Histopathology Segmentation via Enhanced Prompt with Segment AnythingCode1
Segmenting Transparent Object in the Wild with TransformerCode1
Bag of Tricks for Image Classification with Convolutional Neural NetworksCode1
SegmentMeIfYouCan: A Benchmark for Anomaly SegmentationCode1
Bridging Vision and Language Encoders: Parameter-Efficient Tuning for Referring Image SegmentationCode1
Adaptive t-vMF Dice Loss for Multi-class Medical Image SegmentationCode1
Balanced Energy Regularization Loss for Out-of-distribution DetectionCode1
SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation RobustnessCode1
ENet: A Deep Neural Network Architecture for Real-Time Semantic SegmentationCode1
Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance SegmentationCode1
Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation ModelsCode1
End-to-End Video Instance Segmentation with TransformersCode1
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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