| Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals | Mar 24, 2022 | counterfactualCounterfactual Explanation | CodeCode Available | 1 | 5 |
| How Well Do Self-Supervised Models Transfer? | Nov 26, 2020 | Classifier calibrationFew-Shot Learning | CodeCode Available | 1 | 5 |
| PaLI-X: On Scaling up a Multilingual Vision and Language Model | May 29, 2023 | Chart Question Answeringdocument understanding | CodeCode Available | 1 | 5 |
| Destruction and Construction Learning for Fine-Grained Image Recognition | Jun 1, 2019 | ClassificationFine-Grained Image Classification | CodeCode Available | 1 | 5 |
| The Curious Layperson: Fine-Grained Image Recognition without Expert Labels | Nov 5, 2021 | Cross-Modal RetrievalFine-Grained Image Recognition | CodeCode Available | 1 | 5 |
| Fine-grained Recognition with Learnable Semantic Data Augmentation | Sep 1, 2023 | Data AugmentationFine-Grained Image Recognition | CodeCode Available | 1 | 5 |
| Deep Learning for Fine-Grained Image Analysis: A Survey | Jul 6, 2019 | Deep LearningFine-Grained Image Recognition | CodeCode Available | 0 | 5 |
| High-Order-Interaction for weakly supervised Fine-Grained Visual Categorization | Nov 13, 2021 | Fine-Grained Image ClassificationFine-Grained Image Recognition | CodeCode Available | 0 | 5 |
| Global-Local Similarity for Efficient Fine-Grained Image Recognition with Vision Transformers | Jul 17, 2024 | feature selectionFine-Grained Image Recognition | CodeCode Available | 0 | 5 |
| DeepFood: Deep Learning-Based Food Image Recognition for Computer-Aided Dietary Assessment | Jun 17, 2016 | Cloud ComputingFine-Grained Image Recognition | CodeCode Available | 0 | 5 |
