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Semantic Segmentation

Papers

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Showing 7101–7150 of 14763 papers

TitleStatusHype
A Robust Morphological Approach for Semantic Segmentation of Very High Resolution Images—0
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation—0
MV6D: Multi-View 6D Pose Estimation on RGB-D Frames Using a Deep Point-wise Voting Network—0
OmniCity: Omnipotent City Understanding with Multi-level and Multi-view Images—0
TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image SegmentationCode1
Lung nodules segmentation from CT with DeepHealth toolkit—0
FixMatchSeg: Fixing FixMatch for Semi-Supervised Semantic Segmentation—0
PVBM: A Python Vasculature Biomarker Toolbox Based On Retinal Blood Vessel SegmentationCode1
Doubly Deformable Aggregation of Covariance Matrices for Few-shot SegmentationCode1
FCSN: Global Context Aware Segmentation by Learning the Fourier Coefficients of Objects in Medical Images—0
Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation—0
Class-Difficulty Based Methods for Long-Tailed Visual RecognitionCode1
ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise Perspective for Medical Image SegmentationCode1
MKANet: A Lightweight Network with Sobel Boundary Loss for Efficient Land-cover Classification of Satellite Remote Sensing Imagery—0
Training a universal instance segmentation network for live cell images of various cell types and imaging modalitiesCode0
Video Mask Transfiner for High-Quality Video Instance SegmentationCode1
PEA: Improving the Performance of ReLU Networks for Free by Using Progressive Ensemble Activations—0
Using Graph Neural Networks for Program Termination—0
Visual Recognition by RequestCode1
Pro-tuning: Unified Prompt Tuning for Vision Tasks—0
ClaSP -- Parameter-free Time Series SegmentationCode1
A Transformer-based Generative Adversarial Network for Brain Tumor Segmentation—0
HorNet: Efficient High-Order Spatial Interactions with Recursive Gated ConvolutionsCode2
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation—0
On the robustness of self-supervised representations for multi-view object classification—0
Two-Stream UNET Networks for Semantic Segmentation in Medical Images—0
Object-ABN: Learning to Generate Sharp Attention Maps for Action Recognition—0
TransNorm: Transformer Provides a Strong Spatial Normalization Mechanism for a Deep Segmentation ModelCode1
Contrastive Masked Autoencoders are Stronger Vision LearnersCode1
Lightweight and Progressively-Scalable Networks for Semantic SegmentationCode1
Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors—0
Adaptive sampling for scanning pixel cameras—0
Contrastive Image Synthesis and Self-supervised Feature Adaptation for Cross-Modality Biomedical Image SegmentationCode0
GPS-GLASS: Learning Nighttime Semantic Segmentation Using Daytime Video and GPS dataCode1
AADG: Automatic Augmentation for Domain Generalization on Retinal Image SegmentationCode1
Learning-Based Keypoint Registration for Fetoscopic Mosaicking—0
Flow 2.0 -a flexible, scalable, cross-platform post-processing software for realtime phase contrast sequences—0
CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous DrivingCode1
A Study on the Use of Edge TPUs for Eye Fundus Image Segmentation—0
DETRs with Hybrid MatchingCode1
Incremental Few-Shot Semantic Segmentation via Embedding Adaptive-Update and Hyper-class Representation—0
Compositional Human-Scene Interaction Synthesis with Semantic ControlCode1
Multi-Attention Network for Compressed Video Referring Object SegmentationCode1
Semantic Segmentation for Autonomous Driving: Model Evaluation, Dataset Generation, Perspective Comparison, and Real-Time CapabilityCode0
Exploring Generalizable Distillation for Efficient Medical Image SegmentationCode0
Point2Mask: A Weakly Supervised Approach for Cell Segmentation Using Point Annotation—0
ConvUNeXt: An efficient convolution neural network for medical image segmentationCode0
Transferability limitations for Covid 3D Localization Using SARS-CoV-2 segmentation models in 4D CT images—0
The Bearable Lightness of Big Data: Towards Massive Public Datasets in Scientific Machine LearningCode0
SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation RobustnessCode1
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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