{"total":61,"rows":[{"id":"2111.06119","title":"Fine-Grained Image Analysis with Deep Learning: A Survey","created":"2021-11-11","cited_by_count":135,"area":null},{"id":"2103.07976","title":"TransFG: A Transformer Architecture for Fine-grained Recognition","created":"2021-03-14","cited_by_count":132,"area":null},{"id":"2408.16673","title":"Preserving Diversity in Supervised Fine-Tuning of Large Language Models","created":"2024-08-29","cited_by_count":70,"area":null},{"id":"2107.02341","title":"Feature Fusion Vision Transformer for Fine-Grained Visual Categorization","created":"2021-07-06","cited_by_count":40,"area":null},{"id":"2107.08192","title":"RAMS-Trans: Recurrent Attention Multi-scale Transformer forFine-grained Image Recognition","created":"2021-07-17","cited_by_count":34,"area":null},{"id":"2210.11464","title":"Self-Supervised Learning via Maximum Entropy Coding","created":"2022-10-20","cited_by_count":33,"area":null},{"id":"2101.06635","title":"Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification","created":"2021-01-17","cited_by_count":31,"area":null},{"id":"2306.02879","title":"Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization","created":"2023-06-05","cited_by_count":28,"area":null},{"id":"2111.01628","title":"Human Attention in Fine-grained Classification","created":"2021-11-02","cited_by_count":21,"area":null},{"id":"2103.05152","title":"Knowledge Evolution in Neural Networks","created":"2021-03-09","cited_by_count":18,"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":"2110.01240","title":"A free lunch from ViT:Adaptive Attention Multi-scale Fusion Transformer for Fine-grained Visual Recognition","created":"2021-10-04","cited_by_count":16,"area":null},{"id":"2308.05396","title":"Learning Gabor Texture Features for Fine-Grained Recognition","created":"2023-08-10","cited_by_count":16,"area":null},{"id":"2207.12389","title":"MemSAC: Memory Augmented Sample Consistency for Large Scale Unsupervised Domain Adaptation","created":"2022-07-25","cited_by_count":15,"area":null},{"id":"2107.06538","title":"Transformer with Peak Suppression and Knowledge Guidance for Fine-grained Image Recognition","created":"2021-07-14","cited_by_count":12,"area":null},{"id":"2105.07625","title":"A Fine-Grained Visual Attention Approach for Fingerspelling Recognition in the Wild","created":"2021-05-17","cited_by_count":8,"area":null},{"id":"2108.10310","title":"Ranking Models in Unlabeled New Environments","created":"2021-08-23","cited_by_count":8,"area":null},{"id":"2205.10529","title":"Fine-Grained Visual Classification using Self Assessment Classifier","created":"2022-05-21","cited_by_count":8,"area":null},{"id":"2210.03940","title":"Hierarchical Few-Shot Object Detection: Problem, Benchmark and Method","created":"2022-10-08","cited_by_count":8,"area":null},{"id":"2106.10587","title":"Exploring Vision Transformers for Fine-grained Classification","created":"2021-06-19","cited_by_count":7,"area":null},{"id":"2212.13685","title":"Part-guided Relational Transformers for Fine-grained Visual Recognition","created":"2022-12-28","cited_by_count":7,"area":null},{"id":"2310.17159","title":"MaxEnt Loss: Constrained Maximum Entropy for Calibration under Out-of-Distribution Shift","created":"2023-10-26","cited_by_count":6,"area":null},{"id":"2207.00118","title":"ProSelfLC: Progressive Self Label Correction Towards A Low-Temperature Entropy State","created":"2022-06-30","cited_by_count":5,"area":null},{"id":"2109.03156","title":"Fair Comparison: Quantifying Variance in Resultsfor Fine-grained Visual Categorization","created":"2021-09-07","cited_by_count":4,"area":null},{"id":"2303.15266","title":"Multi-Granularity Archaeological Dating of Chinese Bronze Dings Based on a Knowledge-Guided Relation Graph","created":"2023-03-27","cited_by_count":4,"area":null},{"id":"2407.12891","title":"Global-Local Similarity for Efficient Fine-Grained Image Recognition with Vision Transformers","created":"2024-07-17","cited_by_count":4,"area":null},{"id":"2102.00367","title":"Fine-Grained Visual Classification via Simultaneously Learning of Multi-regional Multi-grained Features","created":"2021-01-31","cited_by_count":3,"area":null},{"id":"2205.12038","title":"FedEntropy: Efficient Device Grouping for Federated Learning Using Maximum Entropy Judgment","created":"2022-05-24","cited_by_count":3,"area":null},{"id":"2403.10298","title":"Context-Semantic Quality Awareness Network for Fine-Grained Visual Categorization","created":"2024-03-15","cited_by_count":3,"area":null},{"id":"2212.13693","title":"Parsing Objects at a Finer Granularity: A Survey","created":"2022-12-28","cited_by_count":2,"area":null},{"id":"2306.17699","title":"Exploration and Exploitation of Unlabeled Data for Open-Set Semi-Supervised Learning","created":"2023-06-30","cited_by_count":2,"area":null},{"id":"2308.02161","title":"M2Former: Multi-Scale Patch Selection for Fine-Grained Visual Recognition","created":"2023-08-04","cited_by_count":2,"area":null},{"id":"2309.10711","title":"Latent Space Energy-based Model for Fine-grained Open Set Recognition","created":"2023-09-19","cited_by_count":2,"area":null},{"id":"2312.07338","title":"Self-supervised Adaptive Pre-training of Multilingual Speech Models for Language and Dialect Identification","created":"2023-12-12","cited_by_count":2,"area":null},{"id":"2106.11760","title":"Fingerprinting Image-to-Image Generative Adversarial Networks","created":"2021-06-19","cited_by_count":1,"area":null},{"id":"2203.12816","title":"ViT-FOD: A Vision Transformer based Fine-grained Object Discriminator","created":"2022-03-24","cited_by_count":1,"area":null},{"id":"2208.03684","title":"Preserving Fine-Grain Feature Information in Classification via Entropic Regularization","created":"2022-08-07","cited_by_count":1,"area":null},{"id":"2210.02149","title":"Relational Proxies: Emergent Relationships as Fine-Grained Discriminators","created":"2022-10-05","cited_by_count":1,"area":null},{"id":"2406.08457","title":"ConceptHash: Interpretable Fine-Grained Hashing via Concept Discovery","created":"2024-06-12","cited_by_count":1,"area":null},{"id":"2106.04392","title":"Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition","created":"2021-06-05","cited_by_count":0,"area":null},{"id":"2208.12511","title":"Lower Difficulty and Better Robustness: A Bregman Divergence Perspective for Adversarial Training","created":"2022-08-26","cited_by_count":0,"area":null},{"id":"2209.09857","title":"Fine-grained Classification of Solder Joints with {\\alpha}-skew Jensen-Shannon Divergence","created":"2022-09-20","cited_by_count":0,"area":null},{"id":"2210.03728","title":"Dynamic Latent Separation for Deep Learning","created":"2022-10-07","cited_by_count":0,"area":null},{"id":"2303.09269","title":"ELFIS: Expert Learning for Fine-grained Image Recognition Using Subsets","created":"2023-03-16","cited_by_count":0,"area":null},{"id":"2309.09443","title":"Enhancing Multilingual Speech Recognition through Language Prompt Tuning and Frame-Level Language Adapter","created":"2023-09-18","cited_by_count":0,"area":null},{"id":"2310.15999","title":"Transitivity Recovering Decompositions: Interpretable and Robust Fine-Grained Relationships","created":"2023-10-24","cited_by_count":0,"area":null},{"id":"2311.08141","title":"GMTR: Graph Matching Transformers","created":"2023-11-14","cited_by_count":0,"area":null},{"id":"2312.16805","title":"DarkShot: Lighting Dark Images with Low-Compute and High-Quality","created":"2023-12-28","cited_by_count":0,"area":null},{"id":"2401.05431","title":"TRLS: A Time Series Representation Learning Framework via Spectrogram for Medical Signal Processing","created":"2024-01-06","cited_by_count":0,"area":null},{"id":"2401.05432","title":"TEN-GUARD: Tensor Decomposition for Backdoor Attack Detection in Deep Neural Networks","created":"2024-01-06","cited_by_count":0,"area":null},{"id":"2403.13663","title":"T-Pixel2Mesh: Combining Global and Local Transformer for 3D Mesh Generation from a Single Image","created":"2024-03-20","cited_by_count":0,"area":null},{"id":"2403.15694","title":"Group Benefits Instances Selection for Data Purification","created":"2024-03-23","cited_by_count":0,"area":null},{"id":"2408.17101","title":"Strategic Arms with Side Communication Prevail Over Low-Regret MAB Algorithms","created":"2024-08-30","cited_by_count":0,"area":null},{"id":"2409.01672","title":"Enhancing Fine-Grained Visual Recognition in the Low-Data Regime Through Feature Magnitude Regularization","created":"2024-09-03","cited_by_count":0,"area":null},{"id":"2410.11162","title":"Towards General Deepfake Detection with Dynamic Curriculum","created":"2024-10-15","cited_by_count":0,"area":null},{"id":"2410.13409","title":"Attr-Int: A Simple and Effective Entity Alignment Framework for Heterogeneous Knowledge Graphs","created":"2024-10-17","cited_by_count":0,"area":null},{"id":"2507.06486","title":"Mask6D: Masked Pose Priors For 6D Object Pose Estimation","created":"2025-07-09","cited_by_count":0,"area":null},{"id":"2509.21061","title":"EnGraf-Net: Multiple Granularity Branch Network with Fine-Coarse Graft Grained for Classification Task","created":"2025-09-25","cited_by_count":0,"area":null},{"id":"2602.22949","title":"OpenFS: Multi-Hand-Capable Fingerspelling Recognition with Implicit Signing-Hand Detection and Frame-Wise Letter-Conditioned Synthesis","created":"2026-02-26","cited_by_count":0,"area":null},{"id":"2603.23558","title":"Upper Entropy for 2-Monotone Lower Probabilities","created":"2026-03-23","cited_by_count":0,"area":null},{"id":"2604.13722","title":"Granularity-Aware Transfer for Tree Instance Segmentation in Synthetic and Real Forests","created":"2026-04-15","cited_by_count":0,"area":null}],"next_cursor":null}