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Semantic Segmentation

Papers

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Showing 851–900 of 14763 papers

TitleStatusHype
KPIs 2024 Challenge: Advancing Glomerular Segmentation from Patch- to Slide-LevelCode0
Color-Quality Invariance for Robust Medical Image SegmentationCode0
Wandering around: A bioinspired approach to visual attention through object motion sensitivityCode0
Is Long Range Sequential Modeling Necessary For Colorectal Tumor Segmentation?—0
Enhancing Ground-to-Aerial Image Matching for Visual Misinformation Detection Using Semantic SegmentationCode0
SAMRefiner: Taming Segment Anything Model for Universal Mask RefinementCode2
FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images—0
Conditional diffusion model with spatial attention and latent embedding for medical image segmentationCode1
Traveling Waves Integrate Spatial Information Into Spectral RepresentationsCode0
VFX Creator: Animated Visual Effect Generation with Controllable Diffusion Transformer—0
A Comprehensive Review of U-Net and Its Variants: Advances and Applications in Medical Image Segmentation—0
A Novel Convolutional-Free Method for 3D Medical Imaging Segmentation—0
IPSeg: Image Posterior Mitigates Semantic Drift in Class-Incremental SegmentationCode0
AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers—0
Adaptive Margin Contrastive Learning for Ambiguity-aware 3D Semantic Segmentation—0
FE-UNet: Frequency Domain Enhanced U-Net with Segment Anything Capability for Versatile Image Segmentation—0
Automatic quantification of breast cancer biomarkers from multiple 18F-FDG PET image segmentation—0
HD-EPIC: A Highly-Detailed Egocentric Video Dataset—0
ConceptAttention: Diffusion Transformers Learn Highly Interpretable FeaturesCode3
Optimized Unet with Attention Mechanism for Multi-Scale Semantic Segmentation—0
Beyond the Final Layer: Hierarchical Query Fusion Transformer with Agent-Interpolation Initialization for 3D Instance Segmentation—0
LeAP: Consistent multi-domain 3D labeling using Foundation Models—0
Gaze-Assisted Human-Centric Domain Adaptation for Cardiac Ultrasound Image Segmentation—0
Synthetic Poisoning Attacks: The Impact of Poisoned MRI Image on U-Net Brain Tumor Segmentation—0
Gompertz Linear Units: Leveraging Asymmetry for Enhanced Learning DynamicsCode1
Rethinking the Global Knowledge of CLIP in Training-Free Open-Vocabulary Semantic Segmentation—0
Disentangling CLIP for Multi-Object Perception—0
ZISVFM: Zero-Shot Object Instance Segmentation in Indoor Robotic Environments with Vision Foundation ModelsCode0
DILLEMA: Diffusion and Large Language Models for Multi-Modal AugmentationCode0
Rethinking Vision Transformer for Object Centric Foundation ModelsCode0
RFMedSAM 2: Automatic Prompt Refinement for Enhanced Volumetric Medical Image Segmentation with SAM 2—0
Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications—0
Mosaic3D: Foundation Dataset and Model for Open-Vocabulary 3D Segmentation—0
A Self-Supervised Framework for Improved Generalisability in Ultrasound B-mode Image Segmentation—0
Transfer Risk Map: Mitigating Pixel-level Negative Transfer in Medical Segmentation—0
Memory Efficient Transformer Adapter for Dense Predictions—0
Mind the Gap: Evaluating Patch Embeddings from General-Purpose and Histopathology Foundation Models for Cell Segmentation and ClassificationCode1
UNIP: Rethinking Pre-trained Attention Patterns for Infrared Semantic SegmentationCode1
IMDPrompter: Adapting SAM to Image Manipulation Detection by Cross-View Automated Prompt Learning—0
Deep Ensemble approach for Enhancing Brain Tumor Segmentation in Resource-Limited Settings—0
UD-Mamba: A pixel-level uncertainty-driven Mamba model for medical image segmentationCode1
Test Time Training for 4D Medical Image InterpolationCode0
FSPGD: Rethinking Black-box Attacks on Semantic SegmentationCode1
Geometric Framework for Cell Oversegmentation—0
Exploring Few-Shot Defect Segmentation in General Industrial Scenarios with Metric Learning and Vision Foundation ModelsCode0
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation—0
A Turing Test for Artificial Nets devoted to model Human Vision—0
Self-Prompt SAM: Medical Image Segmentation via Automatic Prompt SAM Adaptation—0
Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic PerspectiveCode0
CAD: Confidence-Aware Adaptive Displacement for Semi-Supervised Medical Image 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