The prototype-based interpretable model is a self-explanatory image recognition model that simulates the evidence reasoning used in human recognition.
HQProtoPNet: An Evidence-Based Model for Interpretable Image Recognition ... A case-based interpretable deep learning model for classification of mass ...
Jun 27, 2018 · In this work, we introduce a deep network architecture -- prototypical part network (ProtoPNet), that reasons in a similar way.
Missing: HQProtoPNet: Based
HQProtoPNet: An Evidence-Based Model for Interpretable Image Recognition. Conference Paper. Jun 2023. Jingqi Wang · Peng Jiajie · Zhiming Liu ...
In this work, we introduce a deep network architecture – prototypical part network (ProtoPNet), that reasons in a similar way: the network dissects the image by ...
Missing: HQProtoPNet: | Show results with:HQProtoPNet:
Aug 28, 2024 · 2023, IEEE International Conference on Computer Vision. HQProtoPNet: An Evidence-Based Model for Interpretable Image Recognition. Jingqi Wang ...
We present a deformable prototypical part network (Deformable ProtoPNet), an interpretable image classifier that integrates the power of deep learning and ...
Missing: HQProtoPNet: | Show results with:HQProtoPNet:
Duration: 36:57
Posted: Jun 14, 2021
Posted: Jun 14, 2021
Missing: HQProtoPNet: Evidence- Based
A deformable prototypical part network (Deformable ProtoPNet), an interpretable image classifier that integrates the power of deep learning and the ...
Missing: HQProtoPNet: | Show results with:HQProtoPNet:
We present a deformable prototypical part network (De- formable ProtoPNet), an interpretable image classifier that integrates the power of deep learning and ...