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Semantic Segmentation

Papers

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Showing 8101–8150 of 14763 papers

TitleStatusHype
Pallet Detection from Synthetic Data Using Game Engines—0
Weakly supervised segmentation with point annotations for histopathology images via contrast-based variational modelCode0
A Cross-Scale Hierarchical Transformer with Correspondence-Augmented Attention for inferring Bird's-Eye-View Semantic Segmentation—0
Microstructural segmentation using a union of attention guided U-Net models with different color transformed imagesCode0
Localized Region Contrast for Enhancing Self-Supervised Learning in Medical Image Segmentation—0
Learning Neural Eigenfunctions for Unsupervised Semantic Segmentation—0
Patch-aware Batch Normalization for Improving Cross-domain Robustness—0
NUMSnet: Nested-U Multi-class Segmentation network for 3D Medical Image Stacks—0
High-fidelity Pseudo-labels for Boosting Weakly-Supervised SegmentationCode0
Semantic Validation in Structure from MotionCode0
A Certified Radius-Guided Attack Framework to Image Segmentation ModelsCode0
FMG-Net and W-Net: Multigrid Inspired Deep Learning Architectures For Medical Imaging SegmentationCode0
Few-shot Semantic Image Synthesis with Class Affinity Transfer—0
DPPD: Deformable Polar Polygon Object Detection—0
Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation—0
Primitive Simultaneous Optimization of Similarity Metrics for Image Registration—0
Cross-modal tumor segmentation using generative blending augmentation and self trainingCode0
USTC FLICAR: A Sensors Fusion Dataset of LiDAR-Inertial-Camera for Heavy-duty Autonomous Aerial Work Robots—0
Uncertainty estimation in Deep Learning for Panoptic segmentation—0
LIGHT: Joint Individual Building Extraction and Height Estimation from Satellite Images through a Unified Multitask Learning Network—0
Associating Spatially-Consistent Grouping with Text-supervised Semantic Segmentation—0
U-Netmer: U-Net meets Transformer for medical image segmentation—0
Noisy Image Segmentation With Soft-Dice—0
Video Instance Segmentation in an Open-WorldCode0
Learning Robust Medical Image Segmentation from Multi-source Annotations—0
Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization—0
PCCA-Model: an attention module for medical image segmentation—0
SemHint-MD: Learning from Noisy Semantic Labels for Self-Supervised Monocular Depth Estimation—0
Deep Learning Architectures for Diagnosis of Diabetic RetinopathyCode0
INoD: Injected Noise Discriminator for Self-Supervised Representation Learning in Agricultural Fields—0
Improving extreme weather events detection with light-weight neural networks—0
Semi-Weakly Supervised Object Kinematic Motion Prediction—0
Fooling Polarization-based Vision using Locally Controllable Polarizing Projection—0
APPT : Asymmetric Parallel Point Transformer for 3D Point Cloud Understanding—0
Ensemble Methods for Multi-Organ Segmentation in CT Series—0
Soft Neighbors are Positive Supporters in Contrastive Visual Representation Learning—0
Removing supervision in semantic segmentation with local-global matching and area balancingCode0
MobileInst: Video Instance Segmentation on the Mobile—0
FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation—0
Mask-free OVIS: Open-Vocabulary Instance Segmentation without Manual Mask Annotations—0
De-coupling and De-positioning Dense Self-supervised LearningCode0
ARMBench: An Object-centric Benchmark Dataset for Robotic Manipulation—0
Fair Federated Medical Image Segmentation via Client Contribution Estimation—0
SC-VAE: Sparse Coding-based Variational Autoencoder with Learned ISTACode0
Domain Adaptive Semantic Segmentation by Optimal Transport—0
MS-MT: Multi-Scale Mean Teacher with Contrastive Unpaired Translation for Cross-Modality Vestibular Schwannoma and Cochlea Segmentation—0
Medical Image Analysis using Deep Relational Learning—0
Imbalance Knowledge-Driven Multi-modal Network for Land-Cover Semantic Segmentation Using Images and LiDAR Point Clouds—0
AutoKary2022: A Large-Scale Densely Annotated Dataset for Chromosome Instance SegmentationCode0
OpenInst: A Simple Query-Based Method for Open-World Instance 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