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Semantic Segmentation

Papers

Showing 34013425 of 14763 papers

TitleStatusHype
Embedded Encoder-Decoder in Convolutional Networks Towards Explainable AICode1
Decoupling Common and Unique Representations for Multimodal Self-supervised LearningCode1
BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins with U-Net modelsCode1
Rethinking Decoder Design: Improving Biomarker Segmentation Using Depth-to-Space Restoration and Residual Linear AttentionCode1
Efficient Urban-scale Point Clouds Segmentation with BEV ProjectionCode1
Deep Active Learning for Axon-Myelin Segmentation on Histology DataCode1
BSNet: Box-Supervised Simulation-assisted Mean Teacher for 3D Instance SegmentationCode1
MD Loss: Efficient Training of 3D Seismic Fault Segmentation Network under Sparse Labels by Weakening Anomaly AnnotationCode1
Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentationCode1
DeepAqua: Self-Supervised Semantic Segmentation of Wetland Surface Water Extent with SAR Images using Knowledge DistillationCode1
Accelerating Video Object Segmentation with Compressed VideoCode1
Learning Spatio-Appearance Memory Network for High-Performance Visual TrackingCode1
Efficient Semantic Segmentation by Altering Resolutions for Compressed VideosCode1
Rethinking Self-supervised Correspondence Learning: A Video Frame-level Similarity PerspectiveCode1
Efficient Self-supervised Vision Pretraining with Local Masked ReconstructionCode1
Efficient Semantic Video Segmentation with Per-frame InferenceCode1
AutoML Segmentation for 3D Medical Image Data: Contribution to the MSD Challenge 2018Code1
Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentationCode1
RetiFluidNet: A Self-Adaptive and Multi-Attention Deep Convolutional Network for Retinal OCT Fluid SegmentationCode1
Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object DetectionCode1
Deep clustering: Discriminative embeddings for segmentation and separationCode1
Deep Clustering for Unsupervised Learning of Visual FeaturesCode1
Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road ScenesCode1
Efficient Self-Ensemble for Semantic SegmentationCode1
Efficient Visual Pretraining with Contrastive DetectionCode1
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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