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Semantic Segmentation

Papers

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Showing 8051–8100 of 14763 papers

TitleStatusHype
Mixed-Block Neural Architecture Search for Medical Image Segmentation—0
Thermal hand image segmentation for biometric recognition—0
ISDA: Position-Aware Instance Segmentation with Deformable AttentionCode0
Amodal Panoptic Segmentation—0
Estimation of Looming from LiDAR—0
A-Eye: Driving with the Eyes of AI for Corner Case Generation—0
Learning with Free Object Segments for Long-Tailed Instance Segmentation—0
An Object Aware Hybrid U-Net for Breast Tumour Annotation—0
GroupViT: Semantic Segmentation Emerges from Text SupervisionCode2
PointMatch: A Consistency Training Framework for Weakly Supervised Semantic Segmentation of 3D Point Clouds—0
The Winning Solution to the iFLYTEK Challenge 2021 Cultivated Land Extraction from High-Resolution Remote Sensing ImageCode1
PCSCNet: Fast 3D Semantic Segmentation of LiDAR Point Cloud for Autonomous Car using Point Convolution and Sparse Convolution Network—0
Rethinking the Zigzag Flattening for Image Reading—0
PointSCNet: Point Cloud Structure and Correlation Learning Based on Space Filling Curve-Guided SamplingCode1
An Efficient Smoothing and Thresholding Image Segmentation Framework with Weighted Anisotropic-Isotropic Total VariationCode0
Fast Semantic-Assisted Outlier Removal for Large-scale Point Cloud Registration—0
Visual Attention NetworkCode4
AF_2: Adaptive Focus Framework for Aerial Imagery Segmentation—0
A Comprehensive Survey with Quantitative Comparison of Image Analysis Methods for Microorganism Biovolume Measurements—0
Joint Learning of Frequency and Spatial Domains for Dense Predictions—0
An Active and Contrastive Learning Framework for Fine-Grained Off-Road Semantic Segmentation—0
Iterative Learning for Instance Segmentation—0
CARL-D: A vision benchmark suite and large scale dataset for vehicle detection and scene segmentationCode0
A General Deep Learning framework for Neuron Instance Segmentation based on Efficient UNet and Morphological Post-processing—0
Detecting and Learning the Unknown in Semantic Segmentation—0
Mirror-Yolo: A Novel Attention Focus, Instance Segmentation and Mirror Detection Model—0
Shift-Memory Network for Temporal Scene Segmentation—0
360 Depth Estimation in the Wild -- The Depth360 Dataset and the SegFuse NetworkCode1
Beyond Deterministic Translation for Unsupervised Domain AdaptationCode0
Few-shot semantic segmentation via mask aggregationCode0
DualConv: Dual Convolutional Kernels for Lightweight Deep Neural NetworksCode1
Neural Architecture Search for Dense Prediction Tasks in Computer Vision—0
SODAR: Segmenting Objects by DynamicallyAggregating Neighboring Mask RepresentationsCode1
Universal Adversarial Examples in Remote Sensing: Methodology and BenchmarkCode1
Box Supervised Video Segmentation Proposal NetworkCode0
A State-of-the-art Survey of U-Net in Microscopic Image Analysis: from Simple Usage to Structure Mortification—0
Context-Preserving Instance-Level Augmentation and Deformable Convolution Networks for SAR Ship Detection—0
COLA: COarse LAbel pre-training for 3D semantic segmentation of sparse LiDAR datasetsCode0
D2ADA: Dynamic Density-aware Active Domain Adaptation for Semantic SegmentationCode1
Task-Adaptive Feature Transformer with Semantic Enrichment for Few-Shot Segmentation—0
Opinions Vary? Diagnosis First!Code0
Semi-supervised Medical Image Segmentation via Geometry-aware Consistency Training—0
PEg TRAnsfer Workflow recognition challenge report: Does multi-modal data improve recognition?—0
Borrowing from yourself: Faster future video segmentation with partial channel updateCode0
Towards a Guideline for Evaluation Metrics in Medical Image SegmentationCode1
Weakly-Supervised Semantic Segmentation with Visual Words Learning and Hybrid PoolingCode0
Sampling Strategy for Fine-Tuning Segmentation Models to Crisis Area under Scarcity of Data—0
Lifting-based variational multiclass segmentation algorithm: design, convergence analysis, and implementation with applications in medical imagingCode0
Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation—0
L2B: Learning to Bootstrap Robust Models for Combating Label NoiseCode1
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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