SOTAVerified

Semantic Segmentation

Papers

Showing 75017550 of 14763 papers

TitleStatusHype
WaveMix: A Resource-efficient Neural Network for Image AnalysisCode1
Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image0
Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature DistillationCode2
Architecture-Agnostic Masked Image Modeling -- From ViT back to CNNCode4
PSTNet: Point Spatio-Temporal Convolution on Point Cloud SequencesCode1
Harnessing Artificial Intelligence to Infer Novel Spatial Biomarkers for the Diagnosis of Eosinophilic Esophagitis0
Deep Sensor Fusion with Pyramid Fusion Networks for 3D Semantic SegmentationCode1
Efficient textual explanations for complex road and traffic scenarios based on semantic segmentation0
Fast Vision Transformers with HiLo AttentionCode2
Decoupled Pyramid Correlation Network for Liver Tumor Segmentation from CT images0
SemAffiNet: Semantic-Affine Transformation for Point Cloud SegmentationCode1
MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision TransformersCode1
Unsupervised Multi-object Segmentation Using Attention and Soft-argmaxCode1
SHREC 2022: pothole and crack detection in the road pavement using images and RGB-D dataCode0
Semantic Segmentation for Thermal Images: A Comparative Survey0
Structure Unbiased Adversarial Model for Medical Image Segmentation0
UniInst: Unique Representation for End-to-End Instance SegmentationCode1
Deep Gradient Learning for Efficient Camouflaged Object DetectionCode1
SALAD: Source-free Active Label-Agnostic Domain Adaptation for Classification, Segmentation and DetectionCode0
Wavelet Feature Maps Compression for Image-to-Image CNNsCode1
Mind The Gap: Alleviating Local Imbalance for Unsupervised Cross-Modality Medical Image Segmentation0
UNet#: A UNet-like Redesigning Skip Connections for Medical Image Segmentation0
ASSET: Autoregressive Semantic Scene Editing with Transformers at High ResolutionsCode1
Heuristic Dropout: An Efficient Regularization Method for Medical Image Segmentation ModelsCode0
Accelerating the creation of instance segmentation training sets through bounding box annotation0
Decoder Denoising Pretraining for Semantic SegmentationCode1
Continual Barlow Twins: continual self-supervised learning for remote sensing semantic segmentation0
Active Domain Adaptation with Multi-level Contrastive Units for Semantic Segmentation0
Enhanced Prototypical Learning for Unsupervised Domain Adaptation in LiDAR Semantic Segmentation0
Saliency-Driven Active Contour Model for Image Segmentation0
MolMiner: You only look once for chemical structure recognition0
Self-mentoring: a new deep learning pipeline to train a self-supervised U-net for few-shot learning of bio-artificial capsule segmentation0
Human Instance Matting via Mutual Guidance and Multi-Instance RefinementCode1
Knowledge Distillation from A Stronger TeacherCode1
Transformer-based out-of-distribution detection for clinically safe segmentationCode0
PointVector: A Vector Representation In Point Cloud AnalysisCode0
On the Feasibility and Generality of Patch-based Adversarial Attacks on Semantic Segmentation Problems0
Transformer based Generative Adversarial Network for Liver SegmentationCode0
UCC: Uncertainty guided Cross-head Co-training for Semi-Supervised Semantic SegmentationCode1
Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT)Code1
Kernel Normalized Convolutional NetworksCode0
HCFormer: Unified Image Segmentation with Hierarchical ClusteringCode1
3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image SegmentationCode1
Light In The Black: An Evaluation of Data Augmentation Techniques for COVID-19 CT's Semantic SegmentationCode0
Masked Image Modeling with Denoising ContrastCode1
Plane Geometry Diagram ParsingCode1
TRT-ViT: TensorRT-oriented Vision Transformer0
Transformer based multiple instance learning for weakly supervised histopathology image segmentationCode1
K-textures, a self-supervised hard clustering deep learning algorithm for satellite image segmentation0
Semantically Accurate Super-Resolution Generative Adversarial Networks0
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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