{"total":97,"rows":[{"id":"2103.02406","title":"Multi-attentional Deepfake Detection","created":"2021-03-03","cited_by_count":341,"area":null},{"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":"2108.08728","title":"Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification","created":"2021-08-19","cited_by_count":114,"area":null},{"id":"2105.13381","title":"Recent advances and clinical applications of deep learning in medical image analysis","created":"2021-05-27","cited_by_count":104,"area":null},{"id":"2112.15121","title":"On the Role of Neural Collapse in Transfer Learning","created":"2021-12-30","cited_by_count":100,"area":null},{"id":"2205.02151","title":"Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification","created":"2022-05-04","cited_by_count":78,"area":null},{"id":"2103.16107","title":"Large Scale Visual Food Recognition","created":"2021-03-30","cited_by_count":75,"area":null},{"id":"2311.10091","title":"Adaptive Shells for Efficient Neural Radiance Field Rendering","created":"2023-11-16","cited_by_count":69,"area":null},{"id":"2104.03059","title":"Differentiable Patch Selection for Image Recognition","created":"2021-04-07","cited_by_count":68,"area":null},{"id":"2204.14244","title":"CLIP-Art: Contrastive Pre-training for Fine-Grained Art Classification","created":"2022-04-29","cited_by_count":65,"area":null},{"id":"2401.01219","title":"Distribution Matching for Multi-Task Learning of Classification Tasks: a Large-Scale Study on Faces & Beyond","created":"2024-01-02","cited_by_count":60,"area":null},{"id":"2111.06349","title":"Unsupervised Part Discovery from Contrastive Reconstruction","created":"2021-11-11","cited_by_count":57,"area":null},{"id":"2201.03014","title":"Glance and Focus Networks for Dynamic Visual Recognition","created":"2022-01-09","cited_by_count":41,"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":"2108.02399","title":"Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach","created":"2021-08-05","cited_by_count":32,"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":"2203.02751","title":"MetaFormer: A Unified Meta Framework for Fine-Grained Recognition","created":"2022-03-05","cited_by_count":28,"area":null},{"id":"2106.13401","title":"Decomposed Mutual Information Estimation for Contrastive Representation Learning","created":"2021-06-25","cited_by_count":25,"area":null},{"id":"2307.11471","title":"Robust Visual Question Answering: Datasets, Methods, and Future Challenges","created":"2023-07-21","cited_by_count":23,"area":null},{"id":"2203.15987","title":"Fine-Grained Object Classification via Self-Supervised Pose Alignment","created":"2022-03-30","cited_by_count":22,"area":null},{"id":"2209.02109","title":"SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image Categorization","created":"2022-09-05","cited_by_count":21,"area":null},{"id":"2208.14607","title":"SIM-Trans: Structure Information Modeling Transformer for Fine-grained Visual Categorization","created":"2022-08-31","cited_by_count":19,"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":"2308.05396","title":"Learning Gabor Texture Features for Fine-Grained Recognition","created":"2023-08-10","cited_by_count":16,"area":null},{"id":"2203.03253","title":"Dynamic MLP for Fine-Grained Image Classification by Leveraging Geographical and Temporal Information","created":"2022-03-07","cited_by_count":15,"area":null},{"id":"2405.06283","title":"Novel Class Discovery for Ultra-Fine-Grained Visual Categorization","created":"2024-05-10","cited_by_count":13,"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":"2310.19168","title":"BirdSAT: Cross-View Contrastive Masked Autoencoders for Bird Species Classification and Mapping","created":"2023-10-29","cited_by_count":12,"area":null},{"id":"2102.09875","title":"Re-rank Coarse Classification with Local Region Enhanced Features for Fine-Grained Image Recognition","created":"2021-02-19","cited_by_count":11,"area":null},{"id":"2202.03822","title":"A Novel Plug-in Module for Fine-Grained Visual Classification","created":"2022-02-08","cited_by_count":11,"area":null},{"id":"2307.08924","title":"Towards Task Sampler Learning for Meta-Learning","created":"2023-07-18","cited_by_count":11,"area":null},{"id":"2304.06540","title":"Temporal Knowledge Sharing enable Spiking Neural Network Learning from Past and Future","created":"2023-04-13","cited_by_count":10,"area":null},{"id":"2307.06860","title":"AnuraSet: A dataset for benchmarking Neotropical anuran calls identification in passive acoustic monitoring","created":"2023-07-11","cited_by_count":10,"area":null},{"id":"2203.05306","title":"GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive Recognition of Cereal Grains","created":"2022-03-10","cited_by_count":9,"area":null},{"id":"2204.10095","title":"R2-Trans:Fine-Grained Visual Categorization with Redundancy Reduction","created":"2022-04-21","cited_by_count":8,"area":null},{"id":"2108.04628","title":"Learning Canonical 3D Object Representation for Fine-Grained Recognition","created":"2021-08-10","cited_by_count":7,"area":null},{"id":"2212.12532","title":"Generalization Bounds for Few-Shot Transfer Learning with Pretrained Classifiers","created":"2022-12-23","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":"2312.12237","title":"Roll With the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning","created":"2023-12-19","cited_by_count":7,"area":null},{"id":"2103.15307","title":"Onfocus Detection: Identifying Individual-Camera Eye Contact from Unconstrained Images","created":"2021-03-29","cited_by_count":6,"area":null},{"id":"2112.02747","title":"Making a Bird AI Expert Work for You and Me","created":"2021-12-06","cited_by_count":6,"area":null},{"id":"2206.13304","title":"PARTICUL: Part Identification with Confidence measure using Unsupervised Learning","created":"2022-06-27","cited_by_count":6,"area":null},{"id":"2305.07180","title":"Robust Saliency-Aware Distillation for Few-shot Fine-grained Visual Recognition","created":"2023-05-12","cited_by_count":6,"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":"2408.04879","title":"On the Element-Wise Representation and Reasoning in Zero-Shot Image Recognition: A Systematic Survey","created":"2024-08-09","cited_by_count":5,"area":null},{"id":"2505.18051","title":"LookWhere? Efficient Visual Recognition by Learning Where to Look and What to See from Self-Supervision","created":"2025-05-23","cited_by_count":5,"area":null},{"id":"2106.03432","title":"Channel DropBlock: An Improved Regularization Method for Fine-Grained Visual Classification","created":"2021-06-07","cited_by_count":4,"area":null},{"id":"2110.05848","title":"Fine-Grained Adversarial Semi-supervised Learning","created":"2021-10-12","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":"2306.04893","title":"Coping with Change: Learning Invariant and Minimum Sufficient Representations for Fine-Grained Visual Categorization","created":"2023-06-08","cited_by_count":4,"area":null},{"id":"2309.03237","title":"Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat","created":"2023-09-06","cited_by_count":4,"area":null},{"id":"2312.16792","title":"RL-LOGO: Deep Reinforcement Learning Localization for Logo Recognition","created":"2023-12-28","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":"2105.00241","title":"Enhancing Fine-Grained Classification for Low Resolution Images","created":"2021-05-01","cited_by_count":3,"area":null},{"id":"2110.04479","title":"A Feature Consistency Driven Attention Erasing Network for Fine-Grained Image Retrieval","created":"2021-10-09","cited_by_count":3,"area":null},{"id":"2308.13651","title":"PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and Humans","created":"2023-08-25","cited_by_count":3,"area":null},{"id":"2309.06511","title":"DF-TransFusion: Multimodal Deepfake Detection via Lip-Audio Cross-Attention and Facial Self-Attention","created":"2023-09-12","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":"2101.09666","title":"Grad-CAM guided channel-spatial attention module for fine-grained visual classification","created":"2021-01-24","cited_by_count":2,"area":null},{"id":"2103.02782","title":"Feature Boosting, Suppression, and Diversification for Fine-Grained Visual Classification","created":"2021-03-04","cited_by_count":2,"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":"2306.02346","title":"Concept Drift and Long-Tailed Distribution in Fine-Grained Visual Categorization: Benchmark and Method","created":"2023-06-04","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":"2102.05917","title":"PatchX: Explaining Deep Models by Intelligible Pattern Patches for Time-series Classification","created":"2021-02-11","cited_by_count":1,"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":"2106.10920","title":"Cross-layer Navigation Convolutional Neural Network for Fine-grained Visual Classification","created":"2021-06-21","cited_by_count":1,"area":null},{"id":"2106.11760","title":"Fingerprinting Image-to-Image Generative Adversarial Networks","created":"2021-06-19","cited_by_count":1,"area":null},{"id":"2111.14131","title":"Learning a Weight Map for Weakly-Supervised Localization","created":"2021-11-28","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":"2305.03351","title":"Leaf Cultivar Identification via Prototype-enhanced Learning","created":"2023-05-05","cited_by_count":1,"area":null},{"id":"2603.08374","title":"This Looks Distinctly Like That: Grounding Interpretable Recognition in Stiefel Geometry against Neural Collapse","created":"2026-03-09","cited_by_count":1,"area":null},{"id":"2103.04701","title":"Interpretable Attention Guided Network for Fine-grained Visual Classification","created":"2021-03-08","cited_by_count":0,"area":null},{"id":"2103.11888","title":"Weakly Supervised Recovery of Semantic Attributes","created":"2021-03-22","cited_by_count":0,"area":null},{"id":"2107.06209","title":"Learning a Discriminant Latent Space with Neural Discriminant Analysis","created":"2021-07-13","cited_by_count":0,"area":null},{"id":"2109.07755","title":"Mask-Guided Feature Extraction and Augmentation for Ultra-Fine-Grained Visual Categorization","created":"2021-09-16","cited_by_count":0,"area":null},{"id":"2110.12178","title":"An attention-driven hierarchical multi-scale representation for visual recognition","created":"2021-10-23","cited_by_count":0,"area":null},{"id":"2112.04223","title":"Progressive Multi-stage Interactive Training in Mobile Network for Fine-grained Recognition","created":"2021-12-08","cited_by_count":0,"area":null},{"id":"2203.16781","title":"Misogynistic Meme Detection using Early Fusion Model with Graph Network","created":"2022-03-31","cited_by_count":0,"area":null},{"id":"2207.11637","title":"Explored An Effective Methodology for Fine-Grained Snake Recognition","created":"2022-07-24","cited_by_count":0,"area":null},{"id":"2209.03509","title":"RGB-X Classification for Electronics Sorting","created":"2022-09-08","cited_by_count":0,"area":null},{"id":"2308.14613","title":"MS-Net: A Multi-modal Self-supervised Network for Fine-Grained Classification of Aircraft in SAR Images","created":"2023-08-28","cited_by_count":0,"area":null},{"id":"2310.09600","title":"Hawkeye: A PyTorch-based Library for Fine-Grained Image Recognition with Deep Learning","created":"2023-10-14","cited_by_count":0,"area":null},{"id":"2311.08080","title":"Identifying Light-curve Signals with a Deep Learning Based Object Detection Algorithm. II. A General Light Curve Classification Framework","created":"2023-11-14","cited_by_count":0,"area":null},{"id":"2312.14999","title":"Leveraging Habitat Information for Fine-grained Bird Identification","created":"2023-12-22","cited_by_count":0,"area":null},{"id":"2407.04243","title":"Exploration of Class Center for Fine-Grained Visual Classification","created":"2024-07-05","cited_by_count":0,"area":null},{"id":"2504.09215","title":"Multi-scale Activation, Refinement, and Aggregation: Exploring Diverse Cues for Fine-Grained Bird Recognition","created":"2025-04-12","cited_by_count":0,"area":null},{"id":"2504.20322","title":"Fine-Grained Classification: Connecting Metadata via Cross-Contrastive Pre-Training","created":"2025-04-29","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":"2511.17183","title":"Benchmarking Nighttime Traffic Sign Recognition with Illumination-Adaptive Detection and Semantic Attribute Reasoning","created":"2025-11-21","cited_by_count":0,"area":null},{"id":"2512.15747","title":"D3G: Diverse Demographic Data Generation Increases Zero-Shot Image Classification Accuracy within Multimodal Models","created":"2025-12-10","cited_by_count":0,"area":null},{"id":"2606.02518","title":"ToolFG: Towards Well-Grounded Fine-Grained Image Classification","created":"2026-06-01","cited_by_count":0,"area":null},{"id":"2607.13437","title":"CLIP-Guided Label-Free Discriminative Region Scoring for Fine-Grained Classification","created":"2026-07-15","cited_by_count":0,"area":null},{"id":"2607.17563","title":"FlexiGrad: Adaptive Gradient Modulation for Hierarchical Fine-Grained Classification","created":"2026-07-20","cited_by_count":0,"area":null}],"next_cursor":null}