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Semantic Segmentation

Papers

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Showing 8851–8900 of 14763 papers

TitleStatusHype
Medical image segmentation with imperfect 3D bounding boxes—0
Neighbor Does Matter: Density-Aware Contrastive Learning for Medical Semi-supervised Segmentation—0
Towards Simultaneous Segmentation of Liver Tumors and Intrahepatic Vessels via Cross-attention Mechanism—0
Micro-Net: A unified model for segmentation of various objects in microscopy images—0
Negative Pseudo Labeling using Class Proportion for Semantic Segmentation in Pathology—0
Near, far: Patch-ordering enhances vision foundation models' scene understanding—0
ZeroPS: High-quality Cross-modal Knowledge Transfer for Zero-Shot 3D Part Segmentation—0
Near Real-time Hippocampus Segmentation Using Patch-based Canonical Neural Network—0
ZeroSCD: Zero-Shot Street Scene Change Detection—0
Weakly Supervised Slot Tagging with Partially Labeled Sequences from Web Search Click Logs—0
Near-optimal Keypoint Sampling for Fast Pathological Lung Segmentation—0
Towards the effectiveness of Deep Convolutional Neural Network based Fast Random Forest Classifier—0
n-CPS: Generalising Cross Pseudo Supervision to n Networks for Semi-Supervised Semantic Segmentation—0
Towards the Unification of Generative and Discriminative Visual Foundation Model: A Survey—0
NCIS: Deep Color Gradient Maps Regression and Three-Class Pixel Classification for Enhanced Neuronal Cell Instance Segmentation in Nissl-Stained Histological Images—0
Towards Tumour Graph Learning for Survival Prediction in Head & Neck Cancer Patients—0
Towards Unconstrained End-to-End Text Spotting—0
Navya3DSeg -- Navya 3D Semantic Segmentation Dataset & split generation for autonomous vehicles—0
Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning to Segment Driveability in Egocentric Images—0
Towards Unified Depth and Semantic Prediction From a Single Image—0
Weakly-Supervised Text Instance Segmentation—0
Towards Universal Vision-language Omni-supervised Segmentation—0
Towards Unsupervised Learning for Instrument Segmentation in Robotic Surgery with Cycle-Consistent Adversarial Networks—0
Zero-Shot 4D Lidar Panoptic Segmentation—0
Towards user-centered interactive medical image segmentation in VR with an assistive AI agent—0
Towards Varroa destructor mite detection using a narrow spectra illumination—0
Towards Visually Explaining Similarity Models—0
Toward Unpaired Multi-modal Medical Image Segmentation via Learning Structured Semantic Consistency—0
TP-UNet: Temporal Prompt Guided UNet for Medical Image Segmentation—0
TraceCaps: A Capsule-based Neural Network for Semantic Segmentation—0
Trace-back along capsules and its application on semantic segmentation—0
TraceNet: Segment one thing efficiently—0
Tracing Halpha Fibrils through Bayesian Deep Learning—0
Track Any Anomalous Object:A Granular Video Anomaly Detection Pipeline—0
Track Anything Behind Everything: Zero-Shot Amodal Video Object Segmentation—0
Navigating Uncertainty in Medical Image Segmentation—0
Natural Scene Image Segmentation Based on Multi-Layer Feature Extraction—0
NAS-based Recursive Stage Partial Network (RSPNet) for Light-Weight Semantic Segmentation—0
NARF24: Estimating Articulated Object Structure for Implicit Rendering—0
Weakly Supervised Volumetric Image Segmentation with Deformed Templates—0
NanoFlowNet: Real-time Dense Optical Flow on a Nano Quadcopter—0
TrackletMapper: Ground Surface Segmentation and Mapping from Traffic Participant Trajectories—0
Track, then Decide: Category-Agnostic Vision-based Multi-Object Tracking—0
Nail Polish Try-On: Realtime Semantic Segmentation of Small Objects for Native and Browser Smartphone AR Applications—0
Nacala-Roof-Material: Drone Imagery for Roof Detection, Classification, and Segmentation to Support Mosquito-borne Disease Risk Assessment—0
Traditional Saliency Reloaded: A Good Old Model in New Shape—0
TRADI: Tracking deep neural network weight distributions for uncertainty estimation—0
TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation—0
N^4 -Fields: Neural Network Nearest Neighbor Fields for Image Transforms—0
MyI-Net: Fully Automatic Detection and Quantification of Myocardial Infarction from Cardiovascular MRI Images—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