{"total":139,"rows":[{"id":"2103.10158","title":"TrivialAugment: Tuning-free Yet State-of-the-Art Data Augmentation","created":"2021-03-18","cited_by_count":227,"area":null},{"id":"2112.06375","title":"Embracing Single Stride 3D Object Detector with Sparse Transformer","created":"2021-12-13","cited_by_count":193,"area":null},{"id":"2103.07579","title":"Revisiting ResNets: Improved Training and Scaling Strategies","created":"2021-03-13","cited_by_count":158,"area":null},{"id":"2207.14096","title":"Towards Large-Scale Small Object Detection: Survey and Benchmarks","created":"2022-07-28","cited_by_count":122,"area":null},{"id":"2212.01548","title":"FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction","created":"2022-12-03","cited_by_count":102,"area":null},{"id":"2205.01491","title":"A Comprehensive Survey of Image Augmentation Techniques for Deep Learning","created":"2022-05-03","cited_by_count":97,"area":null},{"id":"2103.09136","title":"QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection","created":"2021-03-16","cited_by_count":70,"area":null},{"id":"2210.05775","title":"C-Mixup: Improving Generalization in Regression","created":"2022-10-11","cited_by_count":57,"area":null},{"id":"2203.06145","title":"Neuromorphic Data Augmentation for Training Spiking Neural Networks","created":"2022-03-11","cited_by_count":52,"area":null},{"id":"2103.01077","title":"Universal-Prototype Enhancing for Few-Shot Object Detection","created":"2021-03-01","cited_by_count":43,"area":null},{"id":"2103.13886","title":"Robust and Accurate Object Detection via Adversarial Learning","created":"2021-03-23","cited_by_count":42,"area":null},{"id":"2204.06107","title":"Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity","created":"2022-04-12","cited_by_count":41,"area":null},{"id":"2210.08160","title":"Learning Dual Memory Dictionaries for Blind Face Restoration","created":"2022-10-15","cited_by_count":40,"area":null},{"id":"2211.15444","title":"DAMO-YOLO : A Report on Real-Time Object Detection Design","created":"2022-11-23","cited_by_count":38,"area":null},{"id":"2101.01761","title":"AutoDropout: Learning Dropout Patterns to Regularize Deep Networks","created":"2021-01-05","cited_by_count":35,"area":null},{"id":"2104.14235","title":"Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety","created":"2021-04-29","cited_by_count":35,"area":null},{"id":"2102.08884","title":"MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection","created":"2021-02-17","cited_by_count":33,"area":null},{"id":"2402.19348","title":"Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook","created":"2024-02-29","cited_by_count":33,"area":null},{"id":"2103.10374","title":"Consistency-based Active Learning for Object Detection","created":"2021-03-18","cited_by_count":32,"area":null},{"id":"2104.04282","title":"Direct Differentiable Augmentation Search","created":"2021-04-09","cited_by_count":28,"area":null},{"id":"2404.03507","title":"DQ-DETR: DETR with Dynamic Query for Tiny Object Detection","created":"2024-04-04","cited_by_count":28,"area":null},{"id":"2404.00225","title":"Heterogeneous Contrastive Learning for Foundation Models and Beyond","created":"2024-03-30","cited_by_count":27,"area":null},{"id":"2303.14726","title":"Learning Generative Structure Prior for Blind Text Image Super-resolution","created":"2023-03-26","cited_by_count":24,"area":null},{"id":"2103.17220","title":"Scale-aware Automatic Augmentation for Object Detection","created":"2021-03-31","cited_by_count":23,"area":null},{"id":"2301.02830","title":"Image Data Augmentation Approaches: A Comprehensive Survey and Future directions","created":"2023-01-07","cited_by_count":23,"area":null},{"id":"2309.03893","title":"DiffusionEngine: Diffusion Model is Scalable Data Engine for Object Detection","created":"2023-09-07","cited_by_count":23,"area":"diffusion"},{"id":"2307.14682","title":"Unified Adversarial Patch for Visible-Infrared Cross-modal Attacks in the Physical World","created":"2023-07-27","cited_by_count":21,"area":null},{"id":"2312.12133","title":"Object-Aware Domain Generalization for Object Detection","created":"2023-12-19","cited_by_count":21,"area":null},{"id":"2106.12930","title":"VinDr-SpineXR: A deep learning framework for spinal lesions detection and classification from radiographs","created":"2021-06-24","cited_by_count":20,"area":null},{"id":"2207.13249","title":"AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation","created":"2022-07-27","cited_by_count":18,"area":null},{"id":"2104.05858","title":"Exploring Geometric Consistency for Monocular 3D Object Detection","created":"2021-04-12","cited_by_count":17,"area":null},{"id":"2309.14976","title":"MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection","created":"2023-09-26","cited_by_count":17,"area":"moe"},{"id":"2206.00309","title":"Label-Efficient Online Continual Object Detection in Streaming Video","created":"2022-06-01","cited_by_count":16,"area":null},{"id":"2206.07736","title":"Improving Diversity with Adversarially Learned Transformations for Domain Generalization","created":"2022-06-15","cited_by_count":16,"area":null},{"id":"2312.12720","title":"AdvST: Revisiting Data Augmentations for Single Domain Generalization","created":"2023-12-20","cited_by_count":16,"area":null},{"id":"2306.13023","title":"AugDMC: Data Augmentation Guided Deep Multiple Clustering","created":"2023-06-22","cited_by_count":15,"area":null},{"id":"2207.12926","title":"A Guide to Image and Video based Small Object Detection using Deep Learning : Case Study of Maritime Surveillance","created":"2022-07-26","cited_by_count":14,"area":null},{"id":"2101.06967","title":"On Data-Augmentation and Consistency-Based Semi-Supervised Learning","created":"2021-01-18","cited_by_count":13,"area":null},{"id":"2112.09245","title":"Automated Deep Learning: Neural Architecture Search Is Not the End","created":"2021-12-16","cited_by_count":13,"area":null},{"id":"2210.10756","title":"Two-level Data Augmentation for Calibrated Multi-view Detection","created":"2022-10-19","cited_by_count":13,"area":null},{"id":"2402.02941","title":"Exploring the Synergies of Hybrid CNNs and ViTs Architectures for Computer Vision: A survey","created":"2024-02-05","cited_by_count":13,"area":null},{"id":"2410.17878","title":"Relaxed Equivariance via Multitask Learning","created":"2024-10-23","cited_by_count":13,"area":null},{"id":"2109.14379","title":"Infrared Small-Dim Target Detection with Transformer under Complex Backgrounds","created":"2021-09-29","cited_by_count":12,"area":null},{"id":"2204.02397","title":"SALISA: Saliency-based Input Sampling for Efficient Video Object Detection","created":"2022-04-05","cited_by_count":12,"area":null},{"id":"2206.06544","title":"A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classification Tasks","created":"2022-06-14","cited_by_count":12,"area":null},{"id":"2303.10340","title":"3D Data Augmentation for Driving Scenes on Camera","created":"2023-03-18","cited_by_count":12,"area":null},{"id":"2103.03768","title":"VIPriors 1: Visual Inductive Priors for Data-Efficient Deep Learning Challenges","created":"2021-03-05","cited_by_count":11,"area":null},{"id":"2103.12171","title":"Adversarial Feature Augmentation and Normalization for Visual Recognition","created":"2021-03-22","cited_by_count":11,"area":null},{"id":"2112.08782","title":"Improved YOLOv5 network for real-time multi-scale traffic sign detection","created":"2021-12-16","cited_by_count":11,"area":null},{"id":"2208.07734","title":"Data Augmentation is a Hyperparameter: Cherry-picked Self-Supervision for Unsupervised Anomaly Detection is Creating the Illusion of Success","created":"2022-08-16","cited_by_count":11,"area":null},{"id":"2311.11973","title":"Adaptive Training Distributions with Scalable Online Bilevel Optimization","created":"2023-11-20","cited_by_count":11,"area":null},{"id":"2412.11807","title":"PhysAug: A Physical-guided and Frequency-based Data Augmentation for Single-Domain Generalized Object Detection","created":"2024-12-16","cited_by_count":11,"area":null},{"id":"2310.14390","title":"Cross-Domain HAR: Few Shot Transfer Learning for Human Activity Recognition","created":"2023-10-22","cited_by_count":9,"area":null},{"id":"2408.00350","title":"A Simple Background Augmentation Method for Object Detection with Diffusion Model","created":"2024-08-01","cited_by_count":9,"area":"diffusion"},{"id":"2102.03539","title":"Sill-Net: Feature Augmentation with Separated Illumination Representation","created":"2021-02-06","cited_by_count":7,"area":null},{"id":"2211.12110","title":"Improving Crowded Object Detection via Copy-Paste","created":"2022-11-22","cited_by_count":6,"area":null},{"id":"2307.06534","title":"DSV: An Alignment Validation Loss for Self-supervised Outlier Model Selection","created":"2023-07-13","cited_by_count":6,"area":null},{"id":"2311.17461","title":"When StyleGAN Meets Stable Diffusion: a $\\mathscr{W}_+$ Adapter for Personalized Image Generation","created":"2023-11-29","cited_by_count":6,"area":"diffusion"},{"id":"2502.18195","title":"Multi-Perspective Data Augmentation for Few-shot Object Detection","created":"2025-02-25","cited_by_count":6,"area":"diffusion"},{"id":"2203.00945","title":"ParaPose: Parameter and Domain Randomization Optimization for Pose Estimation using Synthetic Data","created":"2022-03-02","cited_by_count":5,"area":null},{"id":"2506.23863","title":"Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction","created":"2025-06-30","cited_by_count":5,"area":null},{"id":"2101.02353","title":"Low-cost and high-performance data augmentation for deep-learning-based skin lesion classification","created":"2021-01-07","cited_by_count":4,"area":null},{"id":"2103.03133","title":"Visual diagnosis of the Varroa destructor parasitic mite in honeybees using object detector techniques","created":"2021-02-26","cited_by_count":4,"area":null},{"id":"2103.05889","title":"Evaluating COPY-BLEND Augmentation for Low Level Vision Tasks","created":"2021-03-10","cited_by_count":4,"area":null},{"id":"2204.01662","title":"Evolving Neural Selection with Adaptive Regularization","created":"2022-04-04","cited_by_count":4,"area":null},{"id":"2305.03716","title":"3D Small Object Detection with Dynamic Spatial Pruning","created":"2023-05-05","cited_by_count":4,"area":null},{"id":"2308.15353","title":"Detect, Augment, Compose, and Adapt: Four Steps for Unsupervised Domain Adaptation in Object Detection","created":"2023-08-29","cited_by_count":4,"area":null},{"id":"2310.18142","title":"Semi-Supervised Panoptic Narrative Grounding","created":"2023-10-27","cited_by_count":4,"area":null},{"id":"2312.13440","title":"MGAug: Multimodal Geometric Augmentation in Latent Spaces of Image Deformations","created":"2023-12-20","cited_by_count":4,"area":null},{"id":"2406.10117","title":"Trustworthy Artificial Intelligence in the Context of Metrology","created":"2024-06-14","cited_by_count":4,"area":null},{"id":"2407.08460","title":"Semi-Supervised Object Detection: A Survey on Progress from CNN to Transformer","created":"2024-07-11","cited_by_count":4,"area":null},{"id":"2411.02057","title":"Exploiting Unlabeled Data with Multiple Expert Teachers for Open Vocabulary Aerial Object Detection and Its Orientation Adaptation","created":"2024-11-04","cited_by_count":4,"area":null},{"id":"2101.05361","title":"Random Shadows and Highlights: A new data augmentation method for extreme lighting conditions","created":"2021-01-13","cited_by_count":3,"area":null},{"id":"2103.09488","title":"Revisiting the Loss Weight Adjustment in Object Detection","created":"2021-03-17","cited_by_count":3,"area":null},{"id":"2106.07822","title":"Canonical Face Embeddings","created":"2021-06-15","cited_by_count":3,"area":null},{"id":"2111.00487","title":"Smart(Sampling)Augment: Optimal and Efficient Data Augmentation for Semantic Segmentation","created":"2021-10-31","cited_by_count":3,"area":null},{"id":"2111.03056","title":"Bootstrap Your Object Detector via Mixed Training","created":"2021-11-04","cited_by_count":3,"area":null},{"id":"2304.13490","title":"Mixing Data Augmentation with Preserving Foreground Regions in Medical Image Segmentation","created":"2023-04-26","cited_by_count":3,"area":null},{"id":"2408.09676","title":"Image-based Freeform Handwriting Authentication with Energy-oriented Self-Supervised Learning","created":"2024-08-19","cited_by_count":3,"area":null},{"id":"2410.12983","title":"Reinforcement Learning with Euclidean Data Augmentation for State-Based Continuous Control","created":"2024-10-16","cited_by_count":3,"area":"deeprl"},{"id":"2508.07537","title":"Enhanced Generative Structure Prior for Chinese Text Image Super-resolution","created":"2025-08-11","cited_by_count":3,"area":null},{"id":"2605.12904","title":"VIP-COP: Context Optimization for Tabular Foundation Models","created":"2026-05-13","cited_by_count":3,"area":null},{"id":"2102.12295","title":"Image Augmentation for Multitask Few-Shot Learning: Agricultural Domain Use-Case","created":"2021-02-24","cited_by_count":2,"area":null},{"id":"2106.13603","title":"Partially fake it till you make it: mixing real and fake thermal images for improved object detection","created":"2021-06-25","cited_by_count":2,"area":null},{"id":"2109.00891","title":"Towards Fine-grained Image Classification with Generative Adversarial Networks and Facial Landmark Detection","created":"2021-08-28","cited_by_count":2,"area":null},{"id":"2109.13488","title":"Towards Rotation Invariance in Object Detection","created":"2021-09-28","cited_by_count":2,"area":null},{"id":"2110.14215","title":"Beyond Classification: Knowledge Distillation using Multi-Object Impressions","created":"2021-10-27","cited_by_count":2,"area":"distill"},{"id":"2111.04345","title":"Off-policy Imitation Learning from Visual Inputs","created":"2021-11-08","cited_by_count":2,"area":"offlinerl"},{"id":"2210.10879","title":"G-Augment: Searching for the Meta-Structure of Data Augmentation Policies for ASR","created":"2022-10-19","cited_by_count":2,"area":null},{"id":"2303.01803","title":"Uncertainty-Aware Gradient Stabilization for Small Object Detection","created":"2023-03-03","cited_by_count":2,"area":null},{"id":"2308.14380","title":"Self-Supervision for Tackling Unsupervised Anomaly Detection: Pitfalls and Opportunities","created":"2023-08-28","cited_by_count":2,"area":null},{"id":"2308.15660","title":"CamoFA: A Learnable Fourier-based Augmentation for Camouflage Segmentation","created":"2023-08-29","cited_by_count":2,"area":null},{"id":"2310.09461","title":"MAC: ModAlity Calibration for Object Detection","created":"2023-10-14","cited_by_count":2,"area":null},{"id":"2311.16346","title":"Small and Dim Target Detection in IR Imagery: A Review","created":"2023-11-27","cited_by_count":2,"area":null},{"id":"2402.04878","title":"Shape-biased Texture Agnostic Representations for Improved Textureless and Metallic Object Detection and 6D Pose Estimation","created":"2024-02-07","cited_by_count":2,"area":null},{"id":"2408.03564","title":"Riverbed litter monitoring using consumer-grade aerial-aquatic speedy scanner (AASS) and deep learning based super-resolution reconstruction and detection network","created":"2024-08-07","cited_by_count":2,"area":null},{"id":"2411.05822","title":"SPACE: SPAtial-aware Consistency rEgularization for anomaly detection in Industrial applications","created":"2024-11-05","cited_by_count":2,"area":null},{"id":"2505.04087","title":"SEVA: Leveraging Single-Step Ensemble of Vicinal Augmentations for Test-Time Adaptation","created":"2025-05-07","cited_by_count":2,"area":null},{"id":"2606.25784","title":"$S^{2}$-FracMix: Label-Preserving Self-Saliency Mixup Augmentation","created":"2026-06-24","cited_by_count":2,"area":null},{"id":"2105.05516","title":"Object-Based Augmentation Improves Quality of Remote Sensing Semantic Segmentation","created":"2021-05-12","cited_by_count":1,"area":null}],"next_cursor":"100"}