SOTAVerified

Semantic Segmentation

Papers

Showing 39764000 of 14763 papers

TitleStatusHype
Two-stage Joint Transductive and Inductive learning for Nuclei Segmentation0
Efficient Rotation Invariance in Deep Neural Networks through Artificial Mental Rotation0
LocaliseBot: Multi-view 3D object localisation with differentiable rendering for robot grasping0
Test-Time Training for Semantic Segmentation with Output Contrastive LossCode0
SAMIHS: Adaptation of Segment Anything Model for Intracranial Hemorrhage SegmentationCode1
Zero-Shot Segmentation of Eye Features Using the Segment Anything Model (SAM)Code0
Level Set KSVD0
USLR: an open-source tool for unbiased and smooth longitudinal registration of brain MRCode0
Assessing Test-time Variability for Interactive 3D Medical Image Segmentation with Diverse Point PromptsCode0
Temporal Performance Prediction for Deep Convolutional Long Short-Term Memory Networks0
Simultaneous Clutter Detection and Semantic Segmentation of Moving Objects for Automotive Radar Data0
PICS in Pics: Physics Informed Contour Selection for Rapid Image Segmentation0
Robust semi-supervised segmentation with timestep ensembling diffusion models0
SpectralGPT: Spectral Remote Sensing Foundation ModelCode2
Sketch-based Video Object Segmentation: Benchmark and Analysis0
Pruning random resistive memory for optimizing analogue AI0
Osteoporosis Prediction from Hand and Wrist X-rays using Image Segmentation and Self-Supervised Learning0
FDNet: Feature Decoupled Segmentation Network for Tooth CBCT Image0
3DFusion, A real-time 3D object reconstruction pipeline based on streamed instance segmented data0
IODeep: an IOD for the introduction of deep learning in the DICOM standardCode0
EviPrompt: A Training-Free Evidential Prompt Generation Method for Segment Anything Model in Medical Images0
Lidar-based Norwegian tree species detection using deep learning0
Diagonal Hierarchical Consistency Learning for Semi-supervised Medical Image Segmentation0
Automatic Report Generation for Histopathology images using pre-trained Vision TransformersCode0
Efficient Segmentation with Texture in Ore Images Based on Box-supervised ApproachCode0
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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