Zhenpeng Feng

Orcid: 0000-0002-0383-4794

According to our database1, Zhenpeng Feng authored at least 19 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

2021
2022
2023
2024
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Legend:

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Article 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Reperceive Global Vision of Transformer for Remote Sensing Images Weakly Supervised Object Localization.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Manifold-based Shapley explanations for high dimensional correlated features.
Neural Networks, 2024

Cluster-CAM: Cluster-weighted visual interpretation of CNNs' decision in image classification.
Neural Networks, 2024

Unveiling SAR target recognition networks: Adaptive Perturbation Interpretation for enhanced understanding.
Neurocomputing, 2024

SAR Despeckling via Log-Yeo-Johnson Transformation and Sparse Representation.
CoRR, 2024

Perturbation on Feature Coalition: Towards Interpretable Deep Neural Networks.
CoRR, 2024

Multi-task SAR Image Processing via GAN-based Unsupervised Manipulation.
CoRR, 2024

Manifold-Based Shapley for SAR Recognization Network Explanation.
Proceedings of the IGARSS 2024, 2024

SAR Despeckling Via Regional Denoising Diffusion Probabilistic Model.
Proceedings of the IGARSS 2024, 2024

2023
Analytical interpretation of the gap of CNN's cognition between SAR and optical target recognition.
Neural Networks, August, 2023

C-RISE: A Post-Hoc Interpretation Method of Black-Box Models for SAR ATR.
Remote. Sens., June, 2023

Interpretation of Latent Codes in InfoGAN with SAR Images.
Remote. Sens., March, 2023

VS-CAM: Vertex Semantic Class Activation Mapping to Interpret Vision Graph Neural Network.
Neurocomputing, 2023

2022
A probe-feature for specific emitter identification using axiom-based grad-CAM.
Signal Process., 2022

LIME-Based Data Selection Method for SAR Images Generation Using GAN.
Remote. Sens., 2022

Analytical Interpretation of Latent Codes in InfoGAN with SAR Images.
CoRR, 2022

2021
CNN-LRP: Understanding Convolutional Neural Networks Performance for Target Recognition in SAR Images.
Sensors, 2021

Self-Matching CAM: A Novel Accurate Visual Explanation of CNNs for SAR Image Interpretation.
Remote. Sens., 2021

SC-SM CAM: An Efficient Visual Interpretation of CNN for SAR Images Target Recognition.
Remote. Sens., 2021


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