{"total":17,"rows":[{"id":"2109.05427","title":"Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification","created":"2021-09-12","cited_by_count":43,"area":null},{"id":"2309.00399","title":"Fine-grained Recognition with Learnable Semantic Data Augmentation","created":"2023-09-01","cited_by_count":17,"area":null},{"id":"2104.04323","title":"Towards Fine-grained Visual Representations by Combining Contrastive Learning with Image Reconstruction and Attention-weighted Pooling","created":"2021-04-09","cited_by_count":13,"area":null},{"id":"2210.07733","title":"Fine-grained Category Discovery under Coarse-grained supervision with Hierarchical Weighted Self-contrastive Learning","created":"2022-10-14","cited_by_count":13,"area":null},{"id":"2104.02429","title":"Fine-Grained Fashion Similarity Prediction by Attribute-Specific Embedding Learning","created":"2021-04-06","cited_by_count":12,"area":null},{"id":"2109.05719","title":"Fine-Grained Few Shot Learning with Foreground Object Transformation","created":"2021-09-13","cited_by_count":7,"area":null},{"id":"2101.08527","title":"Progressive Co-Attention Network for Fine-grained Visual Classification","created":"2021-01-21","cited_by_count":5,"area":null},{"id":"2110.10888","title":"Evaluation of Various Open-Set Medical Imaging Tasks with Deep Neural Networks","created":"2021-10-21","cited_by_count":5,"area":null},{"id":"2110.05848","title":"Fine-Grained Adversarial Semi-supervised Learning","created":"2021-10-12","cited_by_count":4,"area":null},{"id":"2603.24480","title":"Positive-First Most Ambiguous: A Simple Active Learning Criterion for Interactive Retrieval of Rare Categories","created":"2026-03-25","cited_by_count":2,"area":null},{"id":"2105.08788","title":"Self-Supervised Learning for Fine-Grained Visual Categorization","created":"2021-05-18","cited_by_count":1,"area":null},{"id":"2308.01813","title":"Deep Neural Networks Fused with Textures for Image Classification","created":"2023-08-03","cited_by_count":1,"area":null},{"id":"2210.03728","title":"Dynamic Latent Separation for Deep Learning","created":"2022-10-07","cited_by_count":0,"area":null},{"id":"2210.06585","title":"Towards an Efficient ML System: Unveiling a Trade-off between Task Accuracy and Engineering Efficiency in a Large-scale Car Sharing Platform","created":"2022-10-10","cited_by_count":0,"area":null},{"id":"2305.01506","title":"Discovering the Effectiveness of Pre-Training in a Large-scale Car-sharing Platform","created":"2023-05-02","cited_by_count":0,"area":null},{"id":"2312.07482","title":"Classification of retail products: From probabilistic ranking to neural networks","created":"2023-12-12","cited_by_count":0,"area":null},{"id":"2407.00018","title":"Comparing fine-grained and coarse-grained object detection for ecology","created":"2024-05-06","cited_by_count":0,"area":null}],"next_cursor":null}