SOTAVerified

Semantic Segmentation

Papers

Showing 43514375 of 14763 papers

TitleStatusHype
No Wrong Turns: The Simple Geometry Of Neural Networks Optimization PathsCode0
Object Detection from Video Tubelets with Convolutional Neural NetworksCode0
Not All Pixels Are Equal: Difficulty-aware Semantic Segmentation via Deep Layer CascadeCode0
No-Service Rail Surface Defect Segmentation via Normalized Attention and Dual-scale InteractionCode0
Adapting Segment Anything Model (SAM) to Experimental Datasets via Fine-Tuning on GAN-based Simulation: A Case Study in Additive ManufacturingCode0
Normalization in Training U-Net for 2D Biomedical Semantic SegmentationCode0
Improving Network Slimming with Nonconvex RegularizationCode0
Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep NetworksCode0
A Mutual Inclusion Mechanism for Precise Boundary Segmentation in Medical ImagesCode0
No More Discrimination: Cross City Adaptation of Road Scene SegmentersCode0
Nonlinear Markov Random Fields Learned via BackpropagationCode0
NOISe: Nuclei-Aware Osteoclast Instance Segmentation for Mouse-to-Human Domain TransferCode0
SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage SegmentationCode0
Noise transfer for unsupervised domain adaptation of retinal OCT imagesCode0
Depth-aware CNN for RGB-D SegmentationCode0
Automated Design of Deep Learning Methods for Biomedical Image SegmentationCode0
Depth Adaptive Deep Neural Network for Semantic SegmentationCode0
Adapting Segment Anything Model for Power Transmission Corridor Hazard SegmentationCode0
A Multi-task Supervised Compression Model for Split ComputingCode0
NextStop: An Improved Tracker For Panoptic LIDAR Segmentation DataCode0
Nighttime sky/cloud image segmentationCode0
NeurReg: Neural Registration and Its Application to Image SegmentationCode0
NOCTIS: Novel Object Cyclic Threshold based Instance SegmentationCode0
Neural Rate Estimator and Unsupervised Learning for Efficient Distributed Image Analytics in Split-DNN ModelsCode0
Neural Scene Decomposition for Multi-Person Motion CaptureCode0
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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