SOTAVerified

Semantic Segmentation

Papers

Showing 69016925 of 14763 papers

TitleStatusHype
Noise transfer for unsupervised domain adaptation of retinal OCT imagesCode0
Weakly Supervised Semantic Segmentation via Progressive Patch LearningCode0
Weakly Supervised Medical Image Segmentation With Soft Labels and Noise Robust Loss0
Memory Consistent Unsupervised Off-the-Shelf Model Adaptation for Source-Relaxed Medical Image Segmentation0
Whole-Body Lesion Segmentation in 18F-FDG PET/CTCode0
Deliberated Domain Bridging for Domain Adaptive Semantic SegmentationCode1
Active Self-Training for Weakly Supervised 3D Scene Semantic Segmentation0
Learning from Future: A Novel Self-Training Framework for Semantic SegmentationCode1
HarDNet-DFUS: An Enhanced Harmonically-Connected Network for Diabetic Foot Ulcer Image Segmentation and Colonoscopy Polyp SegmentationCode1
Medical Image Segmentation using LeViT-UNet++: A Case Study on GI Tract Data0
Rethinking the Unpretentious U-net for Medical Ultrasound Image SegmentationCode1
NanoFlowNet: Real-time Dense Optical Flow on a Nano Quadcopter0
Label Refinement Network from Synthetic Error Augmentation for Medical Image SegmentationCode0
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends0
Landmark-free Statistical Shape Modeling via Neural Flow DeformationsCode1
A Novel Unsupervised Domain Adaption Method for Depth-Guided Semantic Segmentation Using Coarse-to-Fine Alignment0
SFS-A68: a dataset for the segmentation of space functions in apartment buildingsCode0
Warm Start Active Learning with Proxy Labels \& Selection via Semi-Supervised Fine-Tuning0
A Clustering Method Based on Information Entropy Payload0
High-resolution semantically-consistent image-to-image translation0
Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation0
DOMINO: Domain-aware Model Calibration in Medical Image SegmentationCode1
Pre-trained Language Models for the Legal Domain: A Case Study on Indian LawCode1
On the Optimal Combination of Cross-Entropy and Soft Dice Losses for Lesion Segmentation with Out-of-Distribution RobustnessCode0
PSAQ-ViT V2: Towards Accurate and General Data-Free Quantization for Vision 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
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