80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition

Object recognition from local scale-invariant features

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Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories

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The Nonlinear Statistics of High-Contrast Patches in Natural Images

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ImageNet: A large-scale hierarchical image database

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Microsoft COCO: Common Objects in Context

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ImageNet Large Scale Visual Recognition Challenge

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Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations

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Efficient Processing of Deep Neural Networks: A Tutorial and Survey

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Hmdb: a large video database for human motion recognition

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NUS-WIDE: a real-world web image database from National University of Singapore

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Product Quantization for Nearest Neighbor Search

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Class-Balanced Loss Based on Effective Number of Samples

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ActivityNet: A large-scale video benchmark for human activity understanding

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Unbiased look at dataset bias

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Big data deep learning: Challenges and perspectives

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Learning the signatures of the human grasp using a scalable tactile glove

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Visual long-term memory has a massive storage capacity for object details

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Ensemble of exemplar-SVMs for object detection and beyond

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SALICON: Saliency in Context

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An empirical survey of data augmentation for time series classification with neural networks

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LDAHash: Improved Matching with Smaller Descriptors

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Deep hashing for compact binary codes learning

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A review of object detection based on deep learning

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Generalized Out-of-Distribution Detection: A Survey

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Recognition of natural scenes from global properties: seeing the forest without representing the trees

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K-Means Hashing: An Affinity-Preserving Quantization Method for Learning Binary Compact Codes

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MFC Datasets: Large-Scale Benchmark Datasets for Media Forensic Challenge Evaluation

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Deep learning from temporal coherence in video

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Interleaved Group Convolutions

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Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges

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C2TAM: A Cloud framework for cooperative tracking and mapping

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Large image datasets: A pyrrhic win for computer vision?

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Towards fairer datasets: filtering and balancing the distribution of the people subtree in the ImageNet hierarchy

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Studying Very Low Resolution Recognition Using Deep Networks

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On the genealogy of machine learning datasets: A critical history of ImageNet

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Review of the State of the Art of Deep Learning for Plant Diseases: A Broad Analysis and Discussion

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Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning

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Virtual screening of inorganic materials synthesis parameters with deep learning

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Learning to generate images with perceptual similarity metrics

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Object Recognition in 3D Point Clouds Using Web Data and Domain Adaptation

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Poisoning Web-Scale Training Datasets is Practical

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Poisoning Web-Scale Training Datasets is Practical

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Real World Object Detection Dataset for Quadcopter Unmanned Aerial Vehicle Detection

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Do We Train on Test Data? Purging CIFAR of Near-Duplicates

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Incremental Learning of NCM Forests for Large-Scale Image Classification

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Data and its (dis)contents: A survey of dataset development and use in machine learning research

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Detecting activities from body-worn accelerometers via instance-based algorithms

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Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers

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The Platonic Representation Hypothesis

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Towards large-scale multimedia retrieval enriched by knowledge about human interpretation: Retrospective survey

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Vision to Language: Methods, Metrics and Datasets

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GameTileNet: A Semantic Dataset for Low-Resolution Game Art in Procedural Content Generation

Chen, Y.-C., & Jhala, A. (2025) · arXiv · doi:10.48550/arxiv.2507.02941