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Semantic Segmentation

Papers

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Showing 12651–12700 of 14763 papers

TitleStatusHype
Collaborative Learning for Annotation-Efficient Volumetric MR Image Segmentation—0
Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images—0
Collaboratively boosting data-driven deep learning and knowledge-guided ontological reasoning for semantic segmentation of remote sensing imagery—0
Collaborative Position Reasoning Network for Referring Image Segmentation—0
Collective Perception Datasets for Autonomous Driving: A Comprehensive Review—0
Collective Robustness Certificates—0
Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks—0
Colon Nuclei Instance Segmentation using a Probabilistic Two-Stage Detector—0
Color image segmentation based on a convex K-means approach—0
Color Image Segmentation Metrics—0
Color Image Segmentation using Adaptive Particle Swarm Optimization and Fuzzy C-means—0
Color Image Segmentation Using Multi-Objective Swarm Optimizer and Multi-level Histogram Thresholding—0
Color Recognition in Challenging Lighting Environments: CNN Approach—0
ColorRL: Reinforced Coloring for End-to-End Instance Segmentation—0
Color Space-based HoVer-Net for Nuclei Instance Segmentation and Classification—0
Colour augmentation for improved semi-supervised semantic segmentation—0
CoMaL: Conditional Maximum Likelihood Approach to Self-supervised Domain Adaptation in Long-tail Semantic Segmentation—0
Combination of Hidden Markov Random Field and Conjugate Gradient for Brain Image Segmentation—0
Combinatorial clustering and the beta negative binomial process—0
Combinatorial Energy Learning for Image Segmentation—0
Combined Approach for Image Segmentation—0
Combiner and HyperCombiner Networks: Rules to Combine Multimodality MR Images for Prostate Cancer Localisation—0
Combining Bottom-Up, Top-Down, and Smoothness Cues for Weakly Supervised Image Segmentation—0
Combining Contrast Invariant L1 Data Fidelities with Nonlinear Spectral Image Decomposition—0
Combining Datasets with Different Label Sets for Improved Nucleus Segmentation and Classification—0
Combining Implicit-Explicit View Correlation for Light Field Semantic Segmentation—0
Flexibly Regularized Mixture Models and Application to Image Segmentation—0
Combining Multi-level Contexts of Superpixel using Convolutional Neural Networks to perform Natural Scene Labeling—0
Combining Pyramid Pooling and Attention Mechanism for Pelvic MR Image Semantic Segmentaion—0
Combining Self-attention and Dilation Convolutional for Semantic Segmentation of Coal Maceral Groups—0
Combining Supervised and Un-supervised Learning for Automatic Citrus Segmentation—0
Combining the Best of Convolutional Layers and Recurrent Layers: A Hybrid Network for Semantic Segmentation—0
Combining the Best of Graphical Models and ConvNets for Semantic Segmentation—0
Combining visibility analysis and deep learning for refinement of semantic 3D building models by conflict classification—0
CoMBO: Conflict Mitigation via Branched Optimization for Class Incremental Segmentation—0
CoMFormer: Continual Learning in Semantic and Panoptic Segmentation—0
CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation—0
Multiset Neurons—0
COMNet: Co-Occurrent Matching for Weakly Supervised Semantic Segmentation—0
Compact & Capable: Harnessing Graph Neural Networks and Edge Convolution for Medical Image Classification—0
Compact retail shelf segmentation for mobile deployment—0
Comparative analysis of deep learning approaches for AgNOR-stained cytology samples interpretation—0
Comparative Analysis of Hand-Crafted and Machine-Driven Histopathological Features for Prostate Cancer Classification and Segmentation—0
Comparative Analysis of Segment Anything Model and U-Net for Breast Tumor Detection in Ultrasound and Mammography Images—0
Comparative Benchmarking of Failure Detection Methods in Medical Image Segmentation: Unveiling the Role of Confidence Aggregation—0
Comparative Evaluation of 3D and 2D Deep Learning Techniques for Semantic Segmentation in CT Scans—0
Comparing the Performance of L*A*B* and HSV Color Spaces with Respect to Color Image Segmentation—0
Comparing YOLOv11 and YOLOv8 for instance segmentation of occluded and non-occluded immature green fruits in complex orchard environment—0
Comparing YOLOv8 and Mask RCNN for object segmentation in complex orchard environments—0
Comparison of atlas-based and neural-network-based semantic segmentation for DENSE MRI images—0
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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
4InternImage-HValidation mIoU62.9—Unverified
5M3I Pre-training (InternImage-H)Validation 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