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Semantic Segmentation

Papers

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Showing 5501–5550 of 14763 papers

TitleStatusHype
GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinatesCode0
Instance-level Few-shot Learning with Class Hierarchy MiningCode0
Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image SegmentationCode1
TagCLIP: Improving Discrimination Ability of Open-Vocabulary Semantic SegmentationCode1
Region-Enhanced Feature Learning for Scene Semantic Segmentation—0
An Instance Segmentation Dataset of Yeast Cells in MicrostructuresCode1
CoMaL: Conditional Maximum Likelihood Approach to Self-supervised Domain Adaptation in Long-tail Semantic Segmentation—0
Uncovering the Inner Workings of STEGO for Safe Unsupervised Semantic SegmentationCode1
Self-Supervised Learning based Depth Estimation from Monocular ImagesCode0
Swin3D: A Pretrained Transformer Backbone for 3D Indoor Scene UnderstandingCode2
MVP-SEG: Multi-View Prompt Learning for Open-Vocabulary Semantic Segmentation—0
DINOv2: Learning Robust Visual Features without SupervisionCode6
Learning Semantic-Aware Knowledge Guidance for Low-Light Image EnhancementCode2
Segment Everything Everywhere All at OnceCode1
iResSENet: An Accurate Convolutional Neural Network for Retinal Blood Vessel SegmentationCode0
DynaMITe: Dynamic Query Bootstrapping for Multi-object Interactive Segmentation Transformer—0
Boosting Video Object Segmentation via Space-time Correspondence LearningCode1
Enhancing Self-Supervised Learning for Remote Sensing with Elevation Data: A Case Study with Scarce And High Level Semantic LabelsCode0
Improving Segmentation of Objects with Varying Sizes in Biomedical Images using Instance-wise and Center-of-Instance Segmentation Loss FunctionCode1
[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
SpectFormer: Frequency and Attention is what you need in a Vision Transformer—0
RadarGNN: Transformation Invariant Graph Neural Network for Radar-based PerceptionCode1
Neural Field Conditioning Strategies for 2D Semantic Segmentation—0
UniverSeg: Universal Medical Image SegmentationCode2
SuperpixelGraph: Semi-automatic generation of building footprint through semantic-sensitive superpixel and neural graph networks—0
Scale-Equivariant Deep Learning for 3D DataCode0
SAMM (Segment Any Medical Model): A 3D Slicer Integration to SAMCode2
Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world ApplicationsCode1
Unifying and Personalizing Weakly-supervised Federated Medical Image Segmentation via Adaptive Representation and AggregationCode2
MED-VT++: Unifying Multimodal Learning with a Multiscale Encoder-Decoder Video Transformer—0
Impact of Pseudo Depth on Open World Object Segmentation with Minimal User Guidance—0
Automated computed tomography and magnetic resonance imaging segmentation using deep learning: a beginner's guideCode1
Few Shot Semantic Segmentation: a review of methodologies, benchmarks, and open challenges—0
DUFormer: Solving Power Line Detection Task in Aerial Images using Semantic Segmentation—0
A Closer Look at the Explainability of Contrastive Language-Image Pre-trainingCode1
HaDR: Applying Domain Randomization for Generating Synthetic Multimodal Dataset for Hand Instance Segmentation in Cluttered Industrial EnvironmentsCode0
Continual Semantic Segmentation with Automatic Memory Sample Selection—0
A Billion-scale Foundation Model for Remote Sensing Images—0
Scale-Space Hypernetworks for Efficient Biomedical Imaging—0
PP-MobileSeg: Explore the Fast and Accurate Semantic Segmentation Model on Mobile Devices—0
OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy PredictionCode2
SATR: Zero-Shot Semantic Segmentation of 3D Shapes—0
Mask-conditioned latent diffusion for generating gastrointestinal polyp imagesCode1
Weakly Supervised Intracranial Hemorrhage Segmentation using Head-Wise Gradient-Infused Self-Attention Maps from a Swin Transformer in Categorical LearningCode0
Semantic Segmentation with High Inference Speed in Off-Road EnvironmentsCode0
Utilizing Neural Networks for Semantic Segmentation on RGB/LiDAR Fused Data for Off-road Autonomous Military Vehicle PerceptionCode0
Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual RecognitionCode2
SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model—0
Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation—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