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Semantic Segmentation

Papers

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Showing 7651–7700 of 14763 papers

TitleStatusHype
CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation—0
An Active and Contrastive Learning Framework for Fine-Grained Off-Road Semantic Segmentation—0
FFPN: Fourier Feature Pyramid Network for Ultrasound Image Segmentation—0
Structurally Different Neural Network Blocks for the Segmentation of Atrial and Aortic Perivascular Adipose Tissue in Multi-centre CT Angiography Scans—0
Preventing Unauthorized AI Over-Analysis by Medical Image Adversarial Watermarking—0
CoMFormer: Continual Learning in Semantic and Panoptic Segmentation—0
LERENet: Eliminating Intra-class Differences for Metal Surface Defect Few-shot Semantic Segmentation—0
Detecting Abnormal Health Conditions in Smart Home Using a Drone—0
MedSAGa: Few-shot Memory Efficient Medical Image Segmentation using Gradient Low-Rank Projection in SAM—0
A Semantic Segmentation Network Based Real-Time Computer-Aided Diagnosis System for Hydatidiform Mole Hydrops Lesion Recognition in Microscopic View—0
Adversarial-Prediction Guided Multi-task Adaptation for Semantic Segmentation of Electron Microscopy Images—0
Few-Shot Semantic Segmentation With Cyclic Memory Network—0
Few-Shot Semantic Segmentation with Democratic Attention Networks—0
CoMBO: Conflict Mitigation via Branched Optimization for Class Incremental Segmentation—0
LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds—0
Less than Few: Self-Shot Video Instance Segmentation—0
Medical Visual Prompting (MVP): A Unified Framework for Versatile and High-Quality Medical Image Segmentation—0
Few-Shot Semantic Segmentation Augmented with Image-Level Weak Annotations—0
Combining visibility analysis and deep learning for refinement of semantic 3D building models by conflict classification—0
Let Human Sketches Help: Empowering Challenging Image Segmentation Task with Freehand Sketches—0
Few Shot Semantic Segmentation: a review of methodologies, benchmarks, and open challenges—0
Few-shot Semantic Learning for Robust Multi-Biome 3D Semantic Mapping in Off-Road Environments—0
Let's Get Dirty: GAN Based Data Augmentation for Camera Lens Soiling Detection in Autonomous Driving—0
Detecting diabetic retinopathy severity through fundus images using an ensemble of classifiers—0
Few-shot Semantic Image Synthesis with Class Affinity Transfer—0
Few-shot Segmentation with Optimal Transport Matching and Message Flow—0
Level generation and style enhancement -- deep learning for game development overview—0
Level Set KSVD—0
A Semantic Segmentation Approach on Sweet Orange Leaf Diseases Detection Utilizing YOLO—0
Combining the Best of Graphical Models and ConvNets for Semantic Segmentation—0
A Semantic Knowledge Complementarity based Decoupling Framework for Semi-supervised Class-imbalanced Medical Image Segmentation—0
Leverage Weakly Annotation to Pixel-wise Annotation via Zero-shot Segment Anything Model for Molecular-empowered Learning—0
Medical Semantic Segmentation with Diffusion Pretrain—0
Combining the Best of Convolutional Layers and Recurrent Layers: A Hybrid Network for Semantic Segmentation—0
Detecting Reflections by Combining Semantic and Instance Segmentation—0
Leveraging Contrastive Learning for Semantic Segmentation with Consistent Labels Across Varying Appearances—0
Meta-learning with implicit gradients in a few-shot setting for medical image segmentation—0
Leveraging Crowdsourced GPS Data for Road Extraction from Aerial Imagery—0
Medical Report Generation based on Segment-Enhanced Contrastive Representation Learning—0
Combining Supervised and Un-supervised Learning for Automatic Citrus Segmentation—0
Leveraging Fixed and Dynamic Pseudo-labels for Semi-supervised Medical Image Segmentation—0
Leveraging Global Binary Masks for Structure Segmentation in Medical Images—0
3D Feature Distillation with Object-Centric Priors—0
MedSAM-CA: A CNN-Augmented ViT with Attention-Enhanced Multi-Scale Fusion for Medical Image Segmentation—0
MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models—0
Leveraging in-domain supervision for unsupervised image-to-image translation tasks via multi-stream generators—0
Few-Shot Point Cloud Semantic Segmentation via Contrastive Self-Supervision and Multi-Resolution Attention—0
Few-shot pixel-precise document layout segmentation via dynamic instance generation and local thresholding—0
Combining Self-attention and Dilation Convolutional for Semantic Segmentation of Coal Maceral Groups—0
Combining Pyramid Pooling and Attention Mechanism for Pelvic MR Image Semantic Segmentaion—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
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