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Semantic Segmentation

Papers

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Showing 12851–12900 of 14763 papers

TitleStatusHype
Contrastive pretraining for semantic segmentation is robust to noisy positive pairs—0
Contrastive Re-localization and History Distillation in Federated CMR Segmentation—0
Contrastive Rendering for Ultrasound Image Segmentation—0
Contrastive Semi-Supervised Learning for 2D Medical Image Segmentation—0
Controllable Light Diffusion for Portraits—0
ControlUDA: Controllable Diffusion-assisted Unsupervised Domain Adaptation for Cross-Weather Semantic Segmentation—0
ConvBKI: Real-Time Probabilistic Semantic Mapping Network with Quantifiable Uncertainty—0
Convex Color Image Segmentation with Optimal Transport Distances—0
Convex Combination Star Shape Prior for Data-driven Image Semantic Segmentation—0
Convex Histogram-Based Joint Image Segmentation with Regularized Optimal Transport Cost—0
Convexity Shape Constraints for Image Segmentation—0
Convexity Shape Prior for Level Set based Image Segmentation Method—0
Convex Shape Prior for Deep Neural Convolution Network based Eye Fundus Images Segmentation—0
Convex Shape Prior for Multi-Object Segmentation Using a Single Level Set Function—0
Convex Shape Representation with Binary Labels for Image Segmentation: Models and Fast Algorithms—0
DMFormer: Closing the Gap Between CNN and Vision Transformers—0
ConvFormer: Combining CNN and Transformer for Medical Image Segmentation—0
Convolutional Deep Denoising Autoencoders for Radio Astronomical Images—0
Convolutional Gated Recurrent Networks for Video Segmentation—0
Convolutional Neural Fabrics—0
Convolutional Neural Network Interpretability with General Pattern Theory—0
Convolutional Neural Networks based automated segmentation and labelling of the lumbar spine X-ray—0
Convolutional neural networks for medical image segmentation—0
Convolutional Neural Networks Rarely Learn Shape for Semantic Segmentation—0
Domain specific cues improve robustness of deep learning based segmentation of ct volumes—0
Convolutional Random Walk Networks for Semantic Image Segmentation—0
Convolutional Temporal Attention Model for Video-based Person Re-identification—0
Convolution-Free Medical Image Segmentation using Transformers—0
Convolution Meets LoRA: Parameter Efficient Finetuning for Segment Anything Model—0
Convolution Neural Networks for Semantic Segmentation: Application to Small Datasets of Biomedical Images—0
Convolutions on Spherical Images—0
Co-occurrence matrix analysis-based semi-supervised training for object detection—0
Copy-Paste Image Augmentation with Poisson Image Editing for Ultrasound Instance Segmentation Learning—0
CoralVOS: Dataset and Benchmark for Coral Video Segmentation—0
CorDeep and the Sacrobosco Dataset: Detection of Visual Elements in Historical Documents—0
Coronary Artery Semantic Labeling using Edge Attention Graph Matching Network—0
CORP: A Multi-Modal Dataset for Campus-Oriented Roadside Perception Tasks—0
Correlation-aware active learning for surgery video segmentation—0
Correlation between image quality metrics of magnetic resonance images and the neural network segmentation accuracy—0
Correlation Maximized Structural Similarity Loss for Semantic Segmentation—0
Correlation Weighted Prototype-based Self-Supervised One-Shot Segmentation of Medical Images—0
Corrupted Image Modeling for Self-Supervised Visual Pre-Training—0
Cortical spatio-temporal dimensionality reduction for visual grouping—0
CoSAM: Self-Correcting SAM for Domain Generalization in 2D Medical Image Segmentation—0
Co-Seg: An Image Segmentation Framework Against Label Corruption—0
AdaCoSeg: Adaptive Shape Co-Segmentation with Group Consistency Loss—0
COSMOS: Cross-Modality Unsupervised Domain Adaptation for 3D Medical Image Segmentation based on Target-aware Domain Translation and Iterative Self-Training—0
Co-Sparse Textural Similarity for Image Segmentation—0
Learning Segmented 3D Gaussians via Efficient Feature Unprojection for Zero-shot Neural Scene Segmentation—0
CosSGD: Communication-Efficient Federated Learning with a Simple Cosine-Based Quantization—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
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