Dan ZENG, Jian-Ming WEI, Jun-Jie ZHANG, Liang CHANG, Wei HUANG. Progressive spatio-temporal feature fusion network for infrared small-dim target detection[J]. Journal of Infrared and Millimeter Waves, 2024, 43(6): 859
- Journal of Infrared and Millimeter Waves
- Vol. 43, Issue 6, 859 (2024)
Fig. 1. Progressive spatio-temporal feature fusion network structure：（a）overall architecture of PSTFNet；（b）progressive temporal accumalation module；（c）multi-scale spatial feature fusion module
Fig. 2. Progressive temporal accumulation module：（a）architecture of the P2DConv module；（b）architecture of the M3DConv module
Fig. 3. SHU-MIRST dataset simulation flowchart：（a）background shooting；（b）target template production；（c）target 3D modeling；（d）image fusion algorithm for region resampling；（e）target template embedding
Fig. 4. SHU-MIRST dataset statistical information: (a) distribution of target sizes；(b) distribution of mean SCR
Fig. 5. Examples of target motion trajectory in the SHU-MIRST dataset
Fig. 6. ROC curves of PSTFNet under different mSCR: (a) mSCR≤3；(b) mSCR>3；(c) all sequences
Fig. 7. Qualitative comparison results of PSTFNet and 6 benchmark algorithms on the SHU-MIRST Dataset
Fig. 8. Visualization map of PSTFNet and the backbone network ResUNet at different stage of decoder
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Table 1. Quantitative comparison of different algorithms on the SHU-MIRST dataset
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Table 2. Quantitative comparison of different algorithms on the IRDST-Real dataset
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Table 3. Results of the ablation experiment for the PSTFNet component modules
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Table 4. Results of the PTAM layer ablation experiment
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Table 5. Results of the PTAM composition ablation experiment
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Table 6. Results of the MSFM composition ablation experiment
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