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Semantic Segmentation

Papers

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Showing 6201–6250 of 14763 papers

TitleStatusHype
Towards Task-Compatible Compressible RepresentationsCode0
A Preprocessing and Postprocessing Voxel-based Method for LiDAR Semantic Segmentation Improvement in Long Distance—0
Towards Realistic Incremental Scenario in Class Incremental Semantic SegmentationCode0
Learning from Partial Label Proportions for Whole Slide Image Segmentation—0
CTS: A Consistency-Based Medical Image Segmentation ModelCode0
Fourier Boundary Features Network with Wider Catchers for Glass Segmentation—0
UDA4Inst: Unsupervised Domain Adaptation for Instance Segmentation—0
Spatial Semantic Recurrent Mining for Referring Image Segmentation—0
Shape-aware synthesis of pathological lung CT scans using CycleGAN for enhanced semi-supervised lung segmentationCode0
Towards Clinician-Preferred Segmentation: Leveraging Human-in-the-Loop for Test Time Adaptation in Medical Image Segmentation—0
TEDNet: Twin Encoder Decoder Neural Network for 2D Camera and LiDAR Road DetectionCode0
CLIP with Quality Captions: A Strong Pretraining for Vision Tasks—0
Rethinking Scanning Strategies with Vision Mamba in Semantic Segmentation of Remote Sensing Imagery: An Experimental Study—0
Palette-based Color Transfer between Images—0
IMAFD: An Interpretable Multi-stage Approach to Flood Detection from time series Multispectral Data—0
Adaptation of Distinct Semantics for Uncertain Areas in Polyp SegmentationCode0
A method for supervoxel-wise association studies of age and other non-imaging variables from coronary computed tomography angiograms—0
CVAE-SM: A Conditional Variational Autoencoder with Style Modulation for Efficient Uncertainty QuantificationCode0
Localized Adaptive Risk ControlCode0
PLUTO: Pathology-Universal Transformer—0
Support-Query Prototype Fusion Network for Few-shot Medical Image Segmentation—0
In The Wild Ellipse Parameter Estimation for Circular Dining Plates and Bowls—0
Leveraging Fixed and Dynamic Pseudo-labels for Semi-supervised Medical Image Segmentation—0
PotatoGANs: Utilizing Generative Adversarial Networks, Instance Segmentation, and Explainable AI for Enhanced Potato Disease Identification and ClassificationCode0
DeVOS: Flow-Guided Deformable Transformer for Video Object Segmentation—0
Global Motion Understanding in Large-Scale Video Object Segmentation—0
ADLDA: A Method to Reduce the Harm of Data Distribution Shift in Data Augmentation—0
Multi-Target Unsupervised Domain Adaptation for Semantic Segmentation without External DataCode0
PCLMix: Weakly Supervised Medical Image Segmentation via Pixel-Level Contrastive Learning and Dynamic Mix AugmentationCode0
Multi-level Personalized Federated Learning on Heterogeneous and Long-Tailed Data—0
Zero-shot Degree of Ill-posedness Estimation for Active Small Object Change Detection—0
Enhancing Weakly Supervised Semantic Segmentation with Multi-modal Foundation Models: An End-to-End Approach—0
Prior-guided Diffusion Model for Cell Segmentation in Quantitative Phase Imaging—0
CSA-Net: Channel-wise Spatially Autocorrelated Attention NetworksCode0
Mask-TS Net: Mask Temperature Scaling Uncertainty Calibration for Polyp Segmentation—0
UnSegGNet: Unsupervised Image Segmentation using Graph Neural NetworksCode0
DynaSeg: A Deep Dynamic Fusion Method for Unsupervised Image Segmentation Incorporating Feature Similarity and Spatial ContinuityCode0
DeepDamageNet: A two-step deep-learning model for multi-disaster building damage segmentation and classification using satellite imagery—0
HC-Mamba: Vision MAMBA with Hybrid Convolutional Techniques for Medical Image Segmentation—0
Weakly-supervised Semantic Segmentation via Dual-stream Contrastive Learning of Cross-image Contextual Information—0
A Self-Supervised Method for Body Part Segmentation and Keypoint Detection of Rat Images—0
ELiTe: Efficient Image-to-LiDAR Knowledge Transfer for Semantic Segmentation—0
Space-time Reinforcement Network for Video Object Segmentation—0
A New Dataset and Comparative Study for Aphid Cluster Detection and Segmentation in Sorghum Fields—0
Data-driven approaches for electrical impedance tomography image segmentation from partial boundary dataCode0
Implantable Adaptive Cells: differentiable architecture search to improve the performance of any trained U-shaped networkCode0
On Enhancing Brain Tumor Segmentation Across Diverse Populations with Convolutional Neural NetworksCode0
SalFAU-Net: Saliency Fusion Attention U-Net for Salient Object Detection—0
Few-Shot Fruit Segmentation via Transfer LearningCode0
DiffMap: Enhancing Map Segmentation with Map Prior Using Diffusion Model—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
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