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Semantic Segmentation

Papers

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Showing 9251–9300 of 14763 papers

TitleStatusHype
Suggestive Annotation of Brain MR Images with Gradient-guided Sampling—0
VL-BEiT: Generative Vision-Language Pretraining—0
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives—0
Box2Mask: Weakly Supervised 3D Semantic Instance Segmentation Using Bounding Boxes—0
Multilingual Image Corpus – Towards a Multimodal and Multilingual Dataset—0
Labeling Where Adapting Fails: Cross-Domain Semantic Segmentation with Point Supervision via Active Selection—0
2D Amodal Instance Segmentation Guided by 3D Shape Prior—0
Dynamic Linear Transformer for 3D Biomedical Image SegmentationCode0
Deep learning with RGB and thermal images onboard a drone for monitoring operations—0
DeepDefacer: Automatic Removal of Facial Features via U-Net Image Segmentation—0
iFS-RCNN: An Incremental Few-shot Instance SegmenterCode0
Co-Training for Unsupervised Domain Adaptation of Semantic Segmentation ModelsCode0
D^2NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Video—0
Two-Dimensional Quantum Material Identification via Self-Attention and Soft-labeling in Deep Learning—0
Memory-efficient Segmentation of High-resolution Volumetric MicroCT ImagesCode0
Pooling Revisited: Your Receptive Field is Suboptimal—0
MVMO: A Multi-Object Dataset for Wide Baseline Multi-View Semantic Segmentation—0
Self-Supervised Pre-training of Vision Transformers for Dense Prediction Tasks—0
Segmentation Consistency Training: Out-of-Distribution Generalization for Medical Image SegmentationCode0
Few-Shot Adaptation of Pre-Trained Networks for Domain ShiftCode0
Mean Field inference of CRFs based on GAT—0
Granular Generalized Variable Precision Rough Sets and Rational Approximations—0
Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image—0
Efficient textual explanations for complex road and traffic scenarios based on semantic segmentation—0
Harnessing Artificial Intelligence to Infer Novel Spatial Biomarkers for the Diagnosis of Eosinophilic Esophagitis—0
Decoupled Pyramid Correlation Network for Liver Tumor Segmentation from CT images—0
SHREC 2022: pothole and crack detection in the road pavement using images and RGB-D dataCode0
Semantic Segmentation for Thermal Images: A Comparative Survey—0
Structure Unbiased Adversarial Model for Medical Image Segmentation—0
Mind The Gap: Alleviating Local Imbalance for Unsupervised Cross-Modality Medical Image Segmentation—0
UNet#: A UNet-like Redesigning Skip Connections for Medical Image Segmentation—0
SALAD: Source-free Active Label-Agnostic Domain Adaptation for Classification, Segmentation and DetectionCode0
Accelerating the creation of instance segmentation training sets through bounding box annotation—0
Continual Barlow Twins: continual self-supervised learning for remote sensing semantic segmentation—0
Enhanced Prototypical Learning for Unsupervised Domain Adaptation in LiDAR Semantic Segmentation—0
Heuristic Dropout: An Efficient Regularization Method for Medical Image Segmentation ModelsCode0
Active Domain Adaptation with Multi-level Contrastive Units for Semantic Segmentation—0
MolMiner: You only look once for chemical structure recognition—0
Saliency-Driven Active Contour Model for Image Segmentation—0
Self-mentoring: a new deep learning pipeline to train a self-supervised U-net for few-shot learning of bio-artificial capsule segmentation—0
On the Feasibility and Generality of Patch-based Adversarial Attacks on Semantic Segmentation Problems—0
Transformer-based out-of-distribution detection for clinically safe segmentationCode0
Transformer based Generative Adversarial Network for Liver SegmentationCode0
PointVector: A Vector Representation In Point Cloud AnalysisCode0
Kernel Normalized Convolutional NetworksCode0
Light In The Black: An Evaluation of Data Augmentation Techniques for COVID-19 CT's Semantic SegmentationCode0
TRT-ViT: TensorRT-oriented Vision Transformer—0
K-textures, a self-supervised hard clustering deep learning algorithm for satellite image segmentation—0
Application of Graph Based Features in Computer Aided Diagnosis for Histopathological Image Classification of Gastric Cancer—0
Collaborative Attention Memory Network for Video Object Segmentation—0
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All datasetsADE20KNYU-Depth V2Cityscapes testCityscapes valADE20K valPASCAL ContextS3DIS Area5PASCAL VOC 2012 testS3DISScanNetSUN-RGBDDensePASS

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-H (M3I Pre-training)Params (M)1,310—Unverified
2ViT-P (InternImage-H)Validation mIoU63.6—Unverified
3ONE-PEACEValidation mIoU63—Unverified
4M3I Pre-training (InternImage-H)Validation mIoU62.9—Unverified
5InternImage-HValidation mIoU62.9—Unverified
6BEiT-3Validation mIoU62.8—Unverified
7EVAValidation mIoU62.3—Unverified
8ViT-P (OneFormer, InternImage-H)Validation mIoU61.6—Unverified
9ViT-Adapter-L (Mask2Former, BEiTv2 pretrain)Validation mIoU61.5—Unverified
10FD-SwinV2-GValidation mIoU61.4—Unverified