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Awesome Infrared Small Targets
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Keywords: Infrared small targets detection, infrared small targets segmentation.
Table of Contents
- Awesome Infrared Small Targets
- Acknowledgement
Background Suppression-Based Methods
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Tophat, Morphology-based algorithm for point target detection in infrared backgrounds.
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MaxMedian, Max-mean and max-median filters for detection of small targets.
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PFT, Spatio-temporal saliency detection using phase spectrum of Quaternion Fourier Transform.
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LACM-LSK, Robust infrared small target detection using local steering kernel reconstruction.
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Infrared Small Target Detection by Density Peaks Searching and Maximum-Gray Region Growing.
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FKRW, Infrared Small Target Detection Based on Facet Kernel and Random Walker.
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Structure-Adaptive Clutter Suppression for Infrared Small Target Detection: Chain-Growth Filtering.
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Infrared small-target detection based on multiple morphological profiles.
Human Visual System-Based Methods
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LCM, A Local Contrast Method for Small Infrared Target Detection.
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ILCM, A Robust Infrared Small Target Detection Algorithm Based on Human Visual System.
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LSM, An Efficient Infrared Small Target Detection Method Based on Visual Contrast Mechanism.
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WLDM, Small infrared target detection based on weighted local difference measure.
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IDoGb, An infrared small target detecting algorithm based on human visual system.
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NLCM, Effective infrared small target detection utilizing a novel local contrast method.
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MPCM, Multiscale patch-based contrast measure for small infrared target detection.
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LDM, Entropy-based window selection for detecting dim and small infrared targets.
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DECM, Derivative entropy-based contrast measure for infrared small-target detection.
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RLCM, Infrared small target detection utilizing the multiscale relative local contrast measure.
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WMFD, Infrared small target detection based on flux density and direction diversity in gradient vector field.
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HB-MLCM, High-boost-based multiscale local contrast measure for infrared small target detection.
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Infrared Small Target Detection Based on Derivative Dissimilarity Measure.
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Infrared Small Target Detection Via Center-surround Gray Difference Measure with Local Image Block Analysis.
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Weighted Local Ratio-Difference Contrast Method for Detecting an Infrared Small Target against Ground–Sky Background.
Optimization-Based Methods
Matrix: Single-Subspace
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IPI, Infrared patch-image model for small target detection in a single image.
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NIPPS, Non-negative infrared patch-image model: Robust target-background separation via partial sum minimization of singular values.
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TV-PCP, Infrared dim target detection based on total variation regularization and principal component pursuit.
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NRAM, Infrared small target detection via non-convex rank approximation minimization joint l2, 1 norm.
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NOLC, Infrared small target detection based on non-convex optimization with Lp-norm constraint.
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RS1/2NIPI, Detection of Small Target Using Schatten 1/2 Quasi-Norm Regularization with Reweighted Sparse Enhancement in Complex Infrared Scenes.
Matrix: Multi-Subspace
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LRSR, Small infrared target detection based on low-rank and sparse representation.
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SMSL, Infrared dim and small target detection based on stable multisubspace learning in heterogeneous scene.
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SRWS, Infrared small target detection via self-regularized weighted sparse model.
Tensor: Single-Frame
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RIPT, Reweighted infrared patch-tensor model with both nonlocal and local priors for single-frame small target detection.
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PSTNN, Infrared small target detection based on partial sum of the tensor nuclear norm.
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TCTHR, Infrared Small Target Detection via Low-Rank Tensor Completion With Top-Hat Regularization.
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METTR, Infrared dim target detection via mode-k1k2 extension tensor tubal rank under complex ocean environment.
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LogTFNN, Infrared Small Target Detection via Nonconvex Tensor Fibered Rank Approximation.
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CMPG, Infrared Small Target Detection via L0 Sparse Gradient Regularized Tensor Spectral Support Low-Rank Decomposition.
Tensor: Multi-Frame
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STT: Small Target Detection in Infrared Videos Based on Spatio-Temporal Tensor Model.
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ECA-STT: Edge and Corner Awareness-Based Spatial–Temporal Tensor Model for Infrared Small-Target Detection.
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ASTTV-NTLA: Nonconvex Tensor Low-Rank Approximation for Infrared Small Target Detection.
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IMNN-LWEC: A Novel Infrared Small Target Detection Based on Spatial–Temporal Tensor Model.
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NPSTT, Infrared Small Target Detection Using Nonoverlapping Patch Spatial–Temporal Tensor Factorization With Capped Nuclear Norm Regularization.
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SRSTT, Sparse Regularization-Based Spatial-Temporal Twist Tensor Model for Infrared Small Target Detection.
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4-D TT/TR, Infrared Small Target Detection Using Spatiotemporal 4-D Tensor Train and Ring Unfolding.
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WSWTNN-PnP, Combining Deep Denoiser and Low-rank Priors for Infrared Small Target Detection.
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3DSTPM, Infrared Small Target Detection Combining Deep Spatial–Temporal Prior With Traditional Priors.
Deep Learning-Based Methods
Single-Frame
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MDvsFA cGan, Miss detection vs. false alarm: Adversarial learning for small object segmentation in infrared images.
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ACM, Asymmetric contextual modulation for infrared small target detection.
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TBC-Net: A real-time detector for infrared small target detection using semantic constraint.
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ALCNet, Attentional Local Contrast Networks for Infrared Small Target Detection.
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DNANet, Dense Nested Attention Network for Infrared Small Target Detection.
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Infrared Small-Dim Target Detection with Transformer under Complex Backgrounds.
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EAAU-Net: Enhanced asymmetric attention U-Net for infrared small target detection.
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AGPCNet, Attention-Guided Pyramid Context Networks for Infrared Small Target Detection.
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IRSTFormer: A Hierarchical Vision Transformer for Infrared Small Target Detection.
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APANet, Novel Asymmetric Pyramid Aggregation Network for Infrared Dim and Small Target Detection.
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FC3-Net Exploring Feature Compensation and Cross-level Correlation for Infrared Small Target Detection.
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Prior-Guided Data Augmentation for Infrared Small Target Detection.
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IAANet, Interior attention-aware network for infrared small target detection.
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ISNet: Shape matters for infrared small target detection.
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UIUNet: U-Net in U-Net for Infrared Small Object Detection.
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MTUNet: Multilevel TransUNet for Space-Based Infrared Tiny Ship Detection.
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LESPS: Mapping Degeneration Meets Label Evolution: Learning Infrared Small Target Detection with Single Point Supervision.
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RDIAN, Receptive-Field and Direction Induced Attention Network for Infrared Dim Small Target Detection With a Large-Scale Dataset IRDST.
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Monte Carlo Linear Clustering with Single-Point Supervision is Enough for Infrared Small Target Detection
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MSHNet: Infrared Small Target Detection with Scale and Location Sensitivity.
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SCTransNet: Spatial-channel Cross Transformer Network for Infrared Small Target Detection.
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IRSAM: Advancing segment anything model for infrared small target detection.
Multi-Frame
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A Spatial-Temporal Feature-Based Detection Framework for Infrared Dim Small Target.
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STDMANet: Spatio-Temporal Differential Multiscale Attention Network for Small Moving Infrared Target Detection.
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DTUM: Direction-Coded Temporal U-Shape Module for Multiframe Infrared Small Target Detection.
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SSTNet: Sliced Spatio-Temporal Network With Cross-Slice ConvLSTM for Moving Infrared Dim-Small Target Detection.
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DMIST: Toward Dense Moving Infrared Small Target Detection: New Datasets and Baseline.
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Tridos: Triple-domain Feature Learning with Frequency-aware Memory Enhancement for Moving Infrared Small Target Detection.
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LMAFormer: Local Motion Aware Transformer for Small Moving Infrared Target Detection.
Deep Unfolding-Based Methods
- RPCANet: Deep Unfolding RPCA Based Infrared Small Target Detection.
Datasets
Datasets: Single-Frame
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MDFA: Miss detection vs. false alarm: Adversarial learning for small object segmentation in infrared images.
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SIRST: Asymmetric contextual modulation for infrared small target detection.
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SIRST-Aug: Attention-Guided Pyramid Context Networks for Infrared Small Target Detection.
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NUDT-SIRST: Dense Nested Attention Network for Infrared Small Target Detection.
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IRSTD-1k: Shape matters for infrared small target detection.
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SIRST v2: One-Stage Cascade Refinement Networks for Infrared Small Target Detection,
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NUDT-SIRST-Sea: MTU-Net: Multilevel TransUNet for Space-Based Infrared Tiny Ship Detection,
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DenseSIRST: Background Semantics Matter: Cross-Task Feature Exchange Network for Clustered Infrared Small Target Detection With Sky-Annotated Dataset
Datasets: Multi-Frame
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A dataset for infrared detection and tracking of dim-small aircraft targets under ground / air background,
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A dataset for infrared time-sensitive target detection and tracking for air-ground application,
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SAITD: A dataset for small infrared moving target detection under clutter background,
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IRDST: Receptive-field and Direction Induced Attention Network for Infrared Dim Small Target Detection with a Large-scale Dataset IRDST.
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NUDT-MIRSDT: Direction-Coded Temporal U-Shape Module for Multiframe Infrared Small Target Detection.
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SIRSTD: Spatial-Temporal Transformer for Infrared Small Target Detection in Sequential Images.
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TSIRMT: LMAFormer: Local Motion Aware Transformer for Small Moving Infrared Target Detection,
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IRSatVideo-LEO: Infrared Small Target Detection in Satellite Videos: A New Dataset and A Novel Recurrent Feature Refinement Framework,
Recommended Benchmarks
Title | Date | Link |
---|---|---|
ISTD Python | 2021 | https://github.com/Tianfang-Zhang/ISTD-python |
BasicIRSTD | 2023 | https://github.com/XinyiYing/BasicIRSTD |
ISTD-Benchmark | 2023 | https://github.com/Linaom1214/ISTD-Benchmark |
Acknowledgement
This repository was founded by Tianfang-Zhang, and is currently updated by fengyiwu98. If you have any issue, please contact us.
Note:
- represents offical code.
- represents reproduced code.