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Semantic Segmentation

Papers

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Showing 8051–8100 of 14763 papers

TitleStatusHype
Towards Tumour Graph Learning for Survival Prediction in Head & Neck Cancer Patients—0
One-shot and Partially-Supervised Cell Image Segmentation Using Small Visual PromptCode0
Two-stage MR Image Segmentation Method for Brain Tumors based on Attention Mechanism—0
When SAM Meets Medical Images: An Investigation of Segment Anything Model (SAM) on Multi-phase Liver Tumor Segmentation—0
A Survey on Few-Shot Class-Incremental Learning—0
GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinatesCode0
Instance-level Few-shot Learning with Class Hierarchy MiningCode0
Region-Enhanced Feature Learning for Scene Semantic Segmentation—0
CoMaL: Conditional Maximum Likelihood Approach to Self-supervised Domain Adaptation in Long-tail Semantic Segmentation—0
Self-Supervised Learning based Depth Estimation from Monocular ImagesCode0
MVP-SEG: Multi-View Prompt Learning for Open-Vocabulary Semantic Segmentation—0
iResSENet: An Accurate Convolutional Neural Network for Retinal Blood Vessel SegmentationCode0
Enhancing Self-Supervised Learning for Remote Sensing with Elevation Data: A Case Study with Scarce And High Level Semantic LabelsCode0
SpectFormer: Frequency and Attention is what you need in a Vision Transformer—0
[CLS] Token is All You Need for Zero-Shot Semantic Segmentation—0
STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-trainingCode0
DynaMITe: Dynamic Query Bootstrapping for Multi-object Interactive Segmentation Transformer—0
Neural Field Conditioning Strategies for 2D Semantic Segmentation—0
SuperpixelGraph: Semi-automatic generation of building footprint through semantic-sensitive superpixel and neural graph networks—0
Impact of Pseudo Depth on Open World Object Segmentation with Minimal User Guidance—0
HaDR: Applying Domain Randomization for Generating Synthetic Multimodal Dataset for Hand Instance Segmentation in Cluttered Industrial EnvironmentsCode0
Scale-Equivariant Deep Learning for 3D DataCode0
Few Shot Semantic Segmentation: a review of methodologies, benchmarks, and open challenges—0
MED-VT++: Unifying Multimodal Learning with a Multiscale Encoder-Decoder Video Transformer—0
DUFormer: Solving Power Line Detection Task in Aerial Images using Semantic Segmentation—0
Scale-Space Hypernetworks for Efficient Biomedical Imaging—0
PP-MobileSeg: Explore the Fast and Accurate Semantic Segmentation Model on Mobile Devices—0
SATR: Zero-Shot Semantic Segmentation of 3D Shapes—0
Continual Semantic Segmentation with Automatic Memory Sample Selection—0
Weakly Supervised Intracranial Hemorrhage Segmentation using Head-Wise Gradient-Infused Self-Attention Maps from a Swin Transformer in Categorical LearningCode0
A Billion-scale Foundation Model for Remote Sensing Images—0
Semantic Segmentation with High Inference Speed in Off-Road EnvironmentsCode0
Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation—0
Scale-Equivariant UNet for Histopathology Image Segmentation—0
Self-training with dual uncertainty for semi-supervised medical image segmentation—0
HST-MRF: Heterogeneous Swin Transformer with Multi-Receptive Field for Medical Image Segmentation—0
SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model—0
Are Visual Recognition Models Robust to Image Compression?—0
ADS_UNet: A Nested UNet for Histopathology Image Segmentation—0
Utilizing Neural Networks for Semantic Segmentation on RGB/LiDAR Fused Data for Off-road Autonomous Military Vehicle PerceptionCode0
Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging—0
Transformer Utilization in Medical Image Segmentation Networks—0
ForamViT-GAN: Exploring New Paradigms in Deep Learning for Micropaleontological Image Analysis—0
On the dice loss gradient and the ways to mimic it—0
Self-Supervised Learning of Object Segmentation from Unlabeled RGB-D Videos—0
CLVOS23: A Long Video Object Segmentation Dataset for Continual LearningCode0
Marginal Thresholding in Noisy Image Segmentation—0
MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask Generation—0
Polygonizer: An auto-regressive building delineator—0
Co-attention Propagation Network for Zero-Shot Video Object 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
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