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Semantic Segmentation

Papers

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Showing 5051–5100 of 14763 papers

TitleStatusHype
MineSegSAT: An automated system to evaluate mining disturbed area extents from Sentinel-2 imageryCode0
Minding Fuzzy Regions: A Data-driven Alternating Learning Paradigm for Stable Lesion SegmentationCode0
Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited LabelsCode0
Music2P: A Multi-Modal AI-Driven Tool for Simplifying Album Cover DesignCode0
Mimic and Fool: A Task Agnostic Adversarial AttackCode0
Context Contrasted Feature and Gated Multi-Scale Aggregation for Scene SegmentationCode0
Microscopy Image Segmentation via Point and Shape Regularized Data SynthesisCode0
Affordance segmentation of hand-occluded containers from exocentric imagesCode0
Microstructural segmentation using a union of attention guided U-Net models with different color transformed imagesCode0
Minimizing Supervision for Free-space SegmentationCode0
MFNet: Multi-Feature Fusion Network for Real-Time Semantic Segmentation in Road ScenesCode0
Metrics Revolutions: Groundbreaking Insights into the Implementation of Metrics for Biomedical Image SegmentationCode0
M-GenSeg: Domain Adaptation For Target Modality Tumor Segmentation With Annotation-Efficient SupervisionCode0
Methods for the frugal labeler: Multi-class semantic segmentation on heterogeneous labelsCode0
Content Disentanglement for Semantically Consistent Synthetic-to-Real Domain AdaptationCode0
Content-Consistent Generation of Realistic Eyes with StyleCode0
Affinity Derivation and Graph Merge for Instance SegmentationCode0
Content-based Propagation of User Markings for Interactive Segmentation of Patterned ImagesCode0
Meta R-CNN: Towards General Solver for Instance-Level Low-Shot LearningCode0
ConstScene: Dataset and Model for Advancing Robust Semantic Segmentation in Construction EnvironmentsCode0
MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ SegmentationCode0
A Survey on Deep Learning for Polyp Segmentation: Techniques, Challenges and Future TrendsCode0
Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial ApproachCode0
Meta Learning Deep Visual Words for Fast Video Object SegmentationCode0
Affect-DML: Context-Aware One-Shot Recognition of Human Affect using Deep Metric LearningCode0
Meta-Learning Initializations for Image SegmentationCode0
Metadata Improves Segmentation Through Multitasking ElicitationCode0
The State of Computer Vision Research in AfricaCode0
Constrained domain adaptation for Image segmentationCode0
Constrained Convolutional Neural Networks for Weakly Supervised SegmentationCode0
Efficient Ladder-style DenseNets for Semantic Segmentation of Large ImagesCode0
Meta-Learners for Few-Shot Weakly-Supervised Medical Image SegmentationCode0
MetaPix: Domain Transfer for Semantic Segmentation by Meta Pixel WeightingCode0
Constrained-CNN losses for weakly supervised segmentationCode0
A Feasible Framework for Arbitrary-Shaped Scene Text RecognitionCode0
Memory-efficient Segmentation of High-resolution Volumetric MicroCT ImagesCode0
Ro-SOS: Metric Expression Network (MEnet) for Robust Salient Object SegmentationCode0
Memorizing SAM: 3D Medical Segment Anything Model with Memorizing TransformerCode0
Consistency Regularization for Domain AdaptationCode0
Memory-based Ensemble Learning in CMR Semantic SegmentationCode0
A Fast Semidefinite Approach to Solving Binary Quadratic ProblemsCode0
A Client-server Deep Federated Learning for Cross-domain Surgical Image SegmentationCode0
ConSept: Continual Semantic Segmentation via Adapter-based Vision TransformerCode0
A Surprisingly Simple Approach to Generalized Few-Shot Semantic SegmentationCode0
MELAGE: A purely python based Neuroimaging software (Neonatal)Code0
A Fast Method For Computing Principal Curvatures From Range ImagesCode0
Medical supervised masked autoencoders: Crafting a better masking strategy and efficient fine-tuning schedule for medical image classificationCode0
Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum SynthesisCode0
Conformal Prediction for Image Segmentation Using Morphological Prediction SetsCode0
A Fast Fully Octave Convolutional Neural Network for Document Image SegmentationCode0
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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
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