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sbelharbi/README.md

Hi!

Here is some relevant work:

  • Guided Interpretable Facial Expression Recognition via Spatial Action Unit Cues. [ArXiv][Code]
  • Distilling Privileged Multimodal Information for Expression Recognition using Optimal Transport. [ArXiv][Code]
  • Subject-Based Domain Adaptation for Facial Expression Recognition. [ArXiv][Code]
  • CoLo-CAM: Class Activation Mapping for Object Co-Localization in Weakly-Labeled Unconstrained Videos. [ArXiv][Code]
  • Discriminative Sampling of Proposals in Self-Supervised Transformers for Weakly Supervised Object Localization. [ArXiv][Code]
  • TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos. [ArXiv][Code]
  • Negative Evidence Matters in Interpretable Histology Image Classification. [ArXiv][Code]
  • F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling. [ArXiv][Code]
  • Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty. [ArXiv][Code]
  • Deep Active Learning for Joint Classification & Segmentation with Weak Annotator. [ArXiv][Code]
  • Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey. [ArXiv][Code]
  • Convolutional STN for Weakly Supervised Object Localization and Beyond. [ArXiv][Code]
  • Non-parametric Uni-modality Constraints for Deep Ordinal Classification. [ArXiv][Code]
  • Holistic Guidance for Occluded Person Re-Identification. [ArXiv][Code]

Pinned

  1. interpretable-fer-aus interpretable-fer-aus Public

    Guided Interpretable Facial Expression Recognition via Spatial Action Unit Cues

    Python 4 1

  2. colo-cam colo-cam Public

    Pytorch code for "CoLo-CAM: Class Activation Mapping for Object Co-Localization in Weakly-Labeled Unconstrained Videos"

    Python 1

  3. tcam-wsol-video tcam-wsol-video Public

    Pytorch code for paper "TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos"

    Python 9 1

  4. negev negev Public

    Pytorch implementation of NEGEV method. Paper: "Negative Evidence Matters in Interpretable Histology Image Classification".

    Python 4

  5. fcam-wsol fcam-wsol Public

    Pytorch implementation of F-CAM. Paper: "F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling".

    Python 15 5

  6. deep-wsl-histo-min-max-uncertainty deep-wsl-histo-min-max-uncertainty Public

    Pytorch code for the paper "Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty".

    Python 18 3