Here is some relevant work:
- 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]
- 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]