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Semantic Segmentation

Papers

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Showing 7401–7450 of 14763 papers

TitleStatusHype
DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via A Structure-Specific Generative Method—0
Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey—0
Proximal Splitting Adversarial Attacks for Semantic SegmentationCode1
The Open Kidney Ultrasound Data SetCode1
Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology ImagesCode1
Monitoring Urban Forests from Auto-Generated Segmentation Maps—0
RF-Next: Efficient Receptive Field Search for Convolutional Neural NetworksCode1
ReCo: Retrieve and Co-segment for Zero-shot TransferCode1
Med-DANet: Dynamic Architecture Network for Efficient Medical Volumetric Segmentation—0
Consistent Video Instance Segmentation with Inter-Frame Recurrent Attention—0
A Multi-task Framework for Infrared Small Target Detection and SegmentationCode1
Assessing Privacy Leakage in Synthetic 3-D PET Imaging using Transversal GANCode0
Deep ensemble learning for segmenting tuberculosis-consistent manifestations in chest radiographs—0
Fitting Segmentation Networks on Varying Image Resolutions using SplattingCode1
Discovering Object Masks with Transformers for Unsupervised Semantic SegmentationCode1
Energy Consumption Analysis of pruned Semantic Segmentation Networks on an Embedded GPUCode0
On Image Segmentation With Noisy Labels: Characterization and Volume Properties of the Optimal Solutions to Accuracy and DiceCode0
GLIPv2: Unifying Localization and Vision-Language UnderstandingCode4
A Semantic Consistency Feature Alignment Object Detection Model Based on Mixed-Class Distribution Metrics—0
Access Control of Semantic Segmentation Models Using Encrypted Feature Maps—0
High-Definition Map Generation Technologies For Autonomous Driving—0
ClamNet: Using contrastive learning with variable depth Unets for medical image segmentation—0
SERE: Exploring Feature Self-relation for Self-supervised TransformerCode1
Unsupervised Foggy Scene Understanding via Self Spatial-Temporal Label DiffusionCode0
Spatial Entropy as an Inductive Bias for Vision TransformersCode0
VITA: Video Instance Segmentation via Object Token AssociationCode1
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling StrategiesCode3
Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields—0
Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation—0
BFS-Net: Weakly Supervised Cell Instance Segmentation from Bright-Field Microscopy Z-Stacks—0
Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D ConvolutionsCode2
Language-Bridged Spatial-Temporal Interaction for Referring Video Object SegmentationCode1
ConFUDA: Contrastive Fewshot Unsupervised Domain Adaptation for Medical Image Segmentation—0
Depth-Adapted CNNs for RGB-D Semantic Segmentation—0
MobileOne: An Improved One millisecond Mobile BackboneCode2
Deep Neural Patchworks: Coping with Large Segmentation Tasks—0
Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes?—0
SHRED: 3D Shape Region Decomposition with Learned Local OperationsCode1
Wavelet Prior Attention Learning in Axial Inpainting Network—0
A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic InformationCode1
EVAC+: Multi-scale V-net with Deep Feature CRF Layers for Brain ExtractionCode0
Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-aware Contrastive DistillationCode1
FuSS: Fusing Superpixels for Improved Segmentation ConsistencyCode0
Implementation of a Modified U-Net for Medical Image Segmentation on Edge Devices—0
mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor SegmentationCode1
Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and SegmentationCode4
Point-to-Voxel Knowledge Distillation for LiDAR Semantic SegmentationCode0
GridShift: A Faster Mode-seeking Algorithm for Image Segmentation and Object Tracking—0
HPGNN: Using Hierarchical Graph Neural Networks for Outdoor Point Cloud Processing—0
ACT: Semi-supervised Domain-adaptive Medical Image Segmentation with Asymmetric Co-training—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