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Semantic Segmentation

Papers

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Showing 5901–5950 of 14763 papers

TitleStatusHype
Learning to See the Invisible: End-to-End Trainable Amodal Instance SegmentationCode0
Learning to Segment via Cut-and-PasteCode0
Learning to Generate Training Datasets for Robust Semantic SegmentationCode0
Learning to Exploit the Prior Network Knowledge for Weakly-Supervised Semantic SegmentationCode0
Learning To Pay Attention To MistakesCode0
Learning to Cluster for Proposal-Free Instance SegmentationCode0
Strike the Balance: On-the-Fly Uncertainty based User Interactions for Long-Term Video Object SegmentationCode0
Learning to Adapt Structured Output Space for Semantic SegmentationCode0
RUHSNet: 3D Object Detection Using Lidar Data in Real TimeCode0
Learning to simulate complex scenesCode0
Leveraging Self-supervised Denoising for Image SegmentationCode0
Enhancing pretraining efficiency for medical image segmentation via transferability metricsCode0
Certification of Deep Learning Models for Medical Image SegmentationCode0
Gramian Attention Heads are Strong yet Efficient Vision LearnersCode0
Learning structure-aware semantic segmentation with image-level supervisionCode0
Learning Spectral-Decomposed Tokens for Domain Generalized Semantic SegmentationCode0
Learning Structured Output Representation using Deep Conditional Generative ModelsCode0
CerraData-4MM: A multimodal benchmark dataset on Cerrado for land use and land cover classificationCode0
Learning Shape Representation on Sparse Point Clouds for Volumetric Image SegmentationCode0
Learning Semantic Segmentation with Query Points Supervision on Aerial ImagesCode0
Anytime, Anywhere, Anyone: Investigating the Feasibility of Segment Anything Model for Crowd-Sourcing Medical Image AnnotationsCode0
RDSNet: A New Deep Architecture for Reciprocal Object Detection and Instance SegmentationCode0
Learning Semi-Supervised Medical Image Segmentation from Spatial RegistrationCode0
Learning Shape Templates with Structured Implicit FunctionsCode0
Learning Task-Specific Generalized Convolutions in the Permutohedral LatticeCode0
Enhancing Monocular Depth Estimation with Multi-Source Auxiliary TasksCode0
Learning Semantics-aware Distance Map with Semantics Layering Network for Amodal Instance SegmentationCode0
Learning Self-Regularized Adversarial Views for Self-Supervised Vision TransformersCode0
Enhancing Incomplete Multi-modal Brain Tumor Segmentation with Intra-modal Asymmetry and Inter-modal DependencyCode0
Centroid-centered Modeling for Efficient Vision Transformer Pre-trainingCode0
Learning Temporal Distribution and Spatial Correlation Towards Universal Moving Object SegmentationCode0
Central object segmentation by deep learning for fruits and other roundish objectsCode0
Enhancing Ground-to-Aerial Image Matching for Visual Misinformation Detection Using Semantic SegmentationCode0
Center Smoothing: Certified Robustness for Networks with Structured OutputsCode0
Enhancing Generic Segmentation with Learned Region RepresentationsCode0
Learning Regional Purity for Instance Segmentation on 3D Point CloudsCode0
Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge TransferCode0
Learning Pseudo Labels for Semi-and-Weakly Supervised Semantic SegmentationCode0
A Benchmark for Endoluminal Scene Segmentation of Colonoscopy ImagesCode0
Enhancing Environmental Monitoring through Multispectral Imaging: The WasteMS Dataset for Semantic Segmentation of Lakeside WasteCode0
Enhancing Cross-Modal Medical Image Segmentation through CompositionalityCode0
Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion ReductionCode0
Learning Panoptic Segmentation from Instance ContoursCode0
Enhancing crop segmentation in satellite image time-series with transformer networksCode0
Enhancing Brain Tumor Segmentation Using Channel Attention and Transfer learningCode0
Learning Non-Unique Segmentation with Reward-Penalty Dice LossCode0
Learning of Image Dehazing Models for Segmentation TasksCode0
Learning Rich Features from RGB-D Images for Object Detection and SegmentationCode0
A Comparative Study of High-Recall Real-Time Semantic Segmentation Based on Swift Factorized NetworkCode0
Enhancing Bloodstain Analysis Through AI-Based Segmentation: Leveraging Segment Anything Model for Crime Scene InvestigationCode0
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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