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][Results]
Here is some relevant work:
- “PixelCAM: Pixel Class Activation Mapping for Histology Image Classification and ROI Localization”. [arXiv][Code]
- “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]