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Semantic Segmentation

Papers

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Showing 7851–7900 of 14763 papers

TitleStatusHype
Mitigating Distributional Shift in Semantic Segmentation via Uncertainty Estimation from Unlabelled Data—0
Local-to-Global Information Communication for Real-Time Semantic Segmentation Network Search—0
Few-shot brain segmentation from weakly labeled data with deep heteroscedastic multi-task networks—0
Locate then Segment: A Strong Pipeline for Referring Image Segmentation—0
Few-Shot Adaptation of Training-Free Foundation Model for 3D Medical Image Segmentation—0
Location Augmentation for CNN—0
Combining Datasets with Different Label Sets for Improved Nucleus Segmentation and Classification—0
Location-Aware Self-Supervised Transformers for Semantic Segmentation—0
Combining Contrast Invariant L1 Data Fidelities with Nonlinear Spectral Image Decomposition—0
Few-shot adaptation for morphology-independent cell instance segmentation—0
LoCo: Local Contrastive Representation Learning—0
Free-Mask: A Novel Paradigm of Integration Between the Segmentation Diffusion Model and Image Editing to Improve Segmentation Ability—0
Accurate and Efficient Event-based Semantic Segmentation Using Adaptive Spiking Encoder-Decoder Network—0
LoCUS: Learning Multiscale 3D-consistent Features from Posed Images—0
Miss Detection vs. False Alarm: Adversarial Learning for Small Object Segmentation in Infrared Images—0
Bitewing Radiography Semantic Segmentation Base on Conditional Generative Adversarial Nets—0
LoG-CAN: local-global Class-aware Network for semantic segmentation of remote sensing images—0
LOGCAN++: Adaptive Local-global class-aware network for semantic segmentation of remote sensing imagery—0
Diffuse-UDA: Addressing Unsupervised Domain Adaptation in Medical Image Segmentation with Appearance and Structure Aligned Diffusion Models—0
Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation—0
Few-Shot 3D Volumetric Segmentation with Multi-Surrogate Fusion—0
Few-Shot 3D Point Cloud Semantic Segmentation via Stratified Class-Specific Attention Based Transformer Network—0
Combining Bottom-Up, Top-Down, and Smoothness Cues for Weakly Supervised Image Segmentation—0
Adversarial Neural Networks in Medical Imaging Advancements and Challenges in Semantic Segmentation—0
Diffusion-based RGB-D Semantic Segmentation with Deformable Attention Transformer—0
Long-Range Correlation Supervision for Land-Cover Classification from Remote Sensing Images—0
Long-RVOS: A Comprehensive Benchmark for Long-term Referring Video Object Segmentation—0
3D Face Reconstruction Using Color Photometric Stereo with Uncalibrated Near Point Lights—0
Few-shot 3D LiDAR Semantic Segmentation for Autonomous Driving—0
Few Labeled Atlases are Necessary for Deep-Learning-Based Segmentation—0
Combiner and HyperCombiner Networks: Rules to Combine Multimodality MR Images for Prostate Cancer Localisation—0
Few Exemplar-Based General Medical Image Segmentation via Domain-Aware Selective Adaptation—0
Fewer is More: Image Segmentation Based Weakly Supervised Object Detection with Partial Aggregation—0
Look at the Neighbor: Distortion-aware Unsupervised Domain Adaptation for Panoramic Semantic Segmentation—0
Combined Approach for Image Segmentation—0
A Self-Supervised Method for Body Part Segmentation and Keypoint Detection of Rat Images—0
Few Clicks Suffice: Active Test-Time Adaptation for Semantic Segmentation—0
FE-UNet: Frequency Domain Enhanced U-Net with Segment Anything Capability for Versatile Image Segmentation—0
Combinatorial Energy Learning for Image Segmentation—0
Adversarial Networks for the Detection of Aggressive Prostate Cancer—0
Mitigating False Predictions In Unreasonable Body Regions—0
Fetal Ultrasound Image Segmentation for Measuring Biometric Parameters Using Multi-Task Deep Learning—0
Combinatorial clustering and the beta negative binomial process—0
LooseCut: Interactive Image Segmentation with Loosely Bounded Boxes—0
Mirror U-Net: Marrying Multimodal Fission with Multi-task Learning for Semantic Segmentation in Medical Imaging—0
FermiNets: Learning generative machines to generate efficient neural networks via generative synthesis—0
Combination of Hidden Markov Random Field and Conjugate Gradient for Brain Image Segmentation—0
A Self-Supervised Framework for Improved Generalisability in Ultrasound B-mode Image Segmentation—0
Mirror-Yolo: A Novel Attention Focus, Instance Segmentation and Mirror Detection Model—0
CoMaL: Conditional Maximum Likelihood Approach to Self-supervised Domain Adaptation in Long-tail Semantic Segmentation—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