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Semantic Segmentation

Papers

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Showing 12451–12500 of 14763 papers

TitleStatusHype
Can Generative Geospatial Diffusion Models Excel as Discriminative Geospatial Foundation Models?—0
Can Ground Truth Label Propagation from Video help Semantic Segmentation?—0
Can Humans Fly? Action Understanding With Multiple Classes of Actors—0
Can KAN Work? Exploring the Potential of Kolmogorov-Arnold Networks in Computer Vision—0
Can SAM recognize crops? Quantifying the zero-shot performance of a semantic segmentation foundation model on generating crop-type maps using satellite imagery for precision agriculture—0
Can segmentation models be trained with fully synthetically generated data?—0
Can we cover navigational perception needs of the visually impaired by panoptic segmentation?—0
Can We Learn Heuristics For Graphical Model Inference Using Reinforcement Learning?—0
Can We Remove the Ground? Obstacle-aware Point Cloud Compression for Remote Object Detection—0
Can we unify monocular detectors for autonomous driving by using the pixel-wise semantic segmentation of CNNs?—0
CAP-Context-Aware-Pruning-for-Semantic-Segmentation—0
CAP: Context-Aware Pruning for Semantic-Segmentation—0
CAP-Net: A Unified Network for 6D Pose and Size Estimation of Categorical Articulated Parts from a Single RGB-D Image—0
CapsNet for Medical Image Segmentation—0
Capsules for Biomedical Image Segmentation—0
CARAFE++: Unified Content-Aware ReAssembly of FEatures—0
CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting—0
Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis—0
Cardiac MRI Image Segmentation for Left Ventricle and Right Ventricle using Deep Learning—0
Cardiac MR Image Segmentation Techniques: an overview—0
Cardiac MRI Semantic Segmentation for Ventricles and Myocardium using Deep Learning—0
CardiacNET: Segmentation of Left Atrium and Proximal Pulmonary Veins from MRI Using Multi-View CNN—0
Cardiac Segmentation of LGE MRI with Noisy Labels—0
Cardiac Segmentation on CT Images through Shape-Aware Contour Attentions—0
CARE: Confidence-Aware Regression Estimation of building density fine-tuning EO Foundation Models—0
CarPatch: A Synthetic Benchmark for Radiance Field Evaluation on Vehicle Components—0
Carpet-bombing patch: attacking a deep network without usual requirements—0
Car Segmentation and Pose Estimation using 3D Object Models—0
Cartoon-texture evolution for two-region image segmentation—0
Cascaded Classification Models: Combining Models for Holistic Scene Understanding—0
Cascaded Context Enhancement Network for Automatic Skin Lesion Segmentation—0
Cascade Decoder: A Universal Decoding Method for Biomedical Image Segmentation—0
Cascaded Feature Network for Semantic Segmentation of RGB-D Images—0
Cascaded Non-local Neural Network for Point Cloud Semantic Segmentation—0
Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation—0
Cascaded Scene Flow Prediction using Semantic Segmentation—0
Cascade learning in multi-task encoder-decoder networks for concurrent bone segmentation and glenohumeral joint assessment in shoulder CT scans—0
CASNet: Common Attribute Support Network for image instance and panoptic segmentation—0
CASPIANET++: A Multidimensional Channel-Spatial Asymmetric Attention Network with Noisy Student Curriculum Learning Paradigm for Brain Tumor Segmentation—0
CASSOD-Net: Cascaded and Separable Structures of Dilated Convolution for Embedded Vision Systems and Applications—0
CAST: Contrastive Adaptation and Distillation for Semi-Supervised Instance Segmentation—0
Casting Geometric Constraints in Semantic Segmentation as Semi-Supervised Learning—0
Catalyzing Clinical Diagnostic Pipelines Through Volumetric Medical Image Segmentation Using Deep Neural Networks: Past, Present, & Future—0
Cataract influence on iris recognition performance—0
Category-level Shape Estimation for Densely Cluttered Objects—0
CAT: Learning to Collaborate Channel and Spatial Attention from Multi-Information Fusion—0
Cats: Complementary CNN and Transformer Encoders for Segmentation—0
CausalCellSegmenter: Causal Inference inspired Diversified Aggregation Convolution for Pathology Image Segmentation—0
Causal Intervention for Weakly-Supervised Semantic Segmentation—0
Causality matters in medical imaging—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