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Achievement: StarstruckAchievement: Arctic Code Vault ContributorAchievement: Pull Sharkx2

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sbelharbi/README.md

Hi!

NEW EVENT: Jan. 2025: New challenge is now open @ 8TH ABAW @ CVPR 2025. Ambivalence/Hesitancy (AH) Recognition Challenge at 8th Workshop and Competition on Affective & Behavior Analysis in-the-wild (ABAW). [Page]

Here is some relevant work:

  • CoLo-CAM: Class Activation Mapping for Object Co-Localization in Weakly-Labeled Unconstrained Videos. [arXiv][Code]
  • TeD-Loc: Text Distillation for Weakly Supervised Object Localization. [arXiv][Code]
  • A Realistic Protocol for Evaluation of Weakly Supervised Object Localization. [arXiv][Code]
  • Textualized and Feature-based Models for Compound Multimodal Emotion Recognition in the Wild. [arXiv][Code text-based][Code feature-based]
  • Joint Multimodal Transformer for Dimensional Emotional Recognition in the Wild. [arXiv][Code]
  • SR-CACO-2: A Dataset for Confocal Fluorescence Microscopy Image Super-Resolution. [arXiv][Code]
  • 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]
  • 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 Loading

  1. feature-vs-text-compound-emotion feature-vs-text-compound-emotion Public

    Textualized and Feature-based Models for Compound Multimodal Emotion Recognition in the Wild, ABAW 7th - Challenge - Compound Expression (CE) Recognition Challenge

    Python 4

  2. sr-caco-2 sr-caco-2 Public

    SR-CACO-2: A Dataset for Confocal Fluorescence Microscopy Image Super-Resolution

    Python 11

  3. interpretable-fer-aus interpretable-fer-aus Public

    Guided Interpretable Facial Expression Recognition via Spatial Action Unit Cues

    Python 9 3

  4. colo-cam colo-cam Public

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

    Python 1

  5. 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 8 1

  6. negev negev Public

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

    Python 4