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Semantic Segmentation

Papers

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Showing 5101–5150 of 14763 papers

TitleStatusHype
Illumination Controllable Dehazing Network based on Unsupervised Retinex EmbeddingCode1
Point-LGMask: Local and Global Contexts Embedding for Point Cloud Pre-training with Multi-Ratio MaskingCode0
Real-time GeoAI for High-resolution Mapping and Segmentation of Arctic Permafrost Features—0
A Task-driven Network for Mesh Classification and Semantic Part Segmentation—0
Neighborhood Attention Makes the Encoder of ResUNet Stronger for Accurate Road ExtractionCode1
Unsupervised augmentation optimization for few-shot medical image segmentation—0
ViG-UNet: Vision Graph Neural Networks for Medical Image SegmentationCode0
Improving Visual Prompt Tuning for Self-supervised Vision TransformersCode1
Does Image Anonymization Impact Computer Vision Training?Code2
Devil is in Channels: Contrastive Single Domain Generalization for Medical Image SegmentationCode1
Channel prior convolutional attention for medical image segmentationCode1
A Novel Confidence Induced Class Activation Mapping for MRI Brain Tumor SegmentationCode0
Efficient Multi-Task Scene Analysis with RGB-D TransformersCode1
A Dynamic Feature Interaction Framework for Multi-task Visual Perception—0
Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation—0
UniBoost: Unsupervised Unimodal Pre-training for Boosting Zero-shot Vision-Language Tasks—0
SMRVIS: Point cloud extraction from 3-D ultrasound for non-destructive testingCode0
PhenoBench -- A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural DomainCode1
TEC-Net: Vision Transformer Embrace Convolutional Neural Networks for Medical Image SegmentationCode1
Randomized 3D Scene Generation for Generalizable Self-Supervised Pre-Training—0
Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive FusionCode1
A Dataset for Deep Learning-based Bone Structure Analyses in Total Hip ArthroplastyCode0
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic SegmentationCode1
Towards Label-free Scene Understanding by Vision Foundation ModelsCode1
DenseDINO: Boosting Dense Self-Supervised Learning with Token-Based Point-Level Consistency—0
Curriculum-Based Augmented Fourier Domain Adaptation for Robust Medical Image SegmentationCode0
DFormer: Diffusion-guided Transformer for Universal Image SegmentationCode1
Instructive Feature Enhancement for Dichotomous Medical Image SegmentationCode1
CiT-Net: Convolutional Neural Networks Hand in Hand with Vision Transformers for Medical Image SegmentationCode1
Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-LabelingCode1
Conditional Diffusion Models for Weakly Supervised Medical Image SegmentationCode1
Structurally Different Neural Network Blocks for the Segmentation of Atrial and Aortic Perivascular Adipose Tissue in Multi-centre CT Angiography Scans—0
Single-Shot Global Localization via Graph-Theoretic Correspondence Matching—0
Modality-Agnostic Learning for Medical Image Segmentation Using Multi-modality Self-distillation—0
SGAT4PASS: Spherical Geometry-Aware Transformer for PAnoramic Semantic SegmentationCode1
Semantic Segmentation on VSPW Dataset through Contrastive Loss and Multi-dataset Training Approach—0
DVIS: Decoupled Video Instance Segmentation FrameworkCode1
Volumetric medical image segmentation through dual self-distillation in U-shaped networksCode0
Lumos in the Night Sky: AI-enabled Visual Tool for Exploring Night-Time Light Patterns—0
ELEV-VISION: Automated Lowest Floor Elevation Estimation from Segmenting Street View Images—0
Cyclic Learning: Bridging Image-level Labels and Nuclei Instance SegmentationCode1
Multi-View Representation is What You Need for Point-Cloud Pre-Training—0
Asymmetric Patch Sampling for Contrastive LearningCode1
Recyclable Semi-supervised Method Based on Multi-model Ensemble for Video Scene Parsing—0
OAFormer: Learning Occlusion Distinguishable Feature for Amodal Instance Segmentation—0
Training Like a Medical Resident: Context-Prior Learning Toward Universal Medical Image SegmentationCode1
Retrieval-Enhanced Visual Prompt Learning for Few-shot Classification—0
Using Unreliable Pseudo-Labels for Label-Efficient Semantic SegmentationCode2
SAM3D: Zero-Shot 3D Object Detection via Segment Anything ModelCode2
Cross-CBAM: A Lightweight network for Scene Segmentation—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