ImageNet classification with deep convolutional neural networks

Krizhevsky, Alex, Sutskever, Ilya, Hinton, Geoffrey E.·2017·Communications of the ACM
DOI 10.1145/3065386

Cited by (108,435)

Items 108,401–108,435 of 108,435

  1. A Human-AI Collaborative Framework for Airport X-Ray Weapon Detection Using Deep Transfer Learning
    Said Benlakhdar, Mohammed Rziza, Rachid Oulad Haj Thami · 2026 · Engineering Technology & Applied Science Research
  2. A Robust Framework for Image-Based Spare-Parts Classification in Smart Ships Using a Consistency-Regularized Semi-Supervised GAN
    Heung-Yeop Jang, Chang-Min Lee, Byung-Gun Jung, Young-Chan Lee, Tae-Youl Jeon · 2026 · Journal of Marine Science and Engineering
  3. AGRISIGHT AI: A ConvNeXtV2-Based Deep Learning Framework for Crop Disease Classification with a Proposed Multimodal Extension for Precision Agriculture
    Athithya S A, Yagna Sai Harshith Eedpuganti, Raj Pranav Raghavan, Neelam Sanjeev Kumar · 2026 · Research Square
  4. TOMATO POST-HARVEST MANAGEMENT: AI-POWERED APPROACH FOR TRACKING TOMATO MATURATION AND DETERIORATION WITH SIX VISUAL CLASSES
    Sadiq Ali, Afnan Ahmed · 2026 · NED University Journal of Research
  5. Edge AI-Enabled TinyML with Vision-Based Inspection for Intelligent Industrial IoT Monitoring on STM32
    Chetti. Venkateswarlu, Kolli Manasa Devi, Dommeti Yamini Vijaya Lakshmi · 2026
  6. Next-Generation Plastic Waste Recognition through Heterogeneous Deep Meta-Learning
    Ratnesh Kumar Choudhary, Prachi Borade, Aniket Bhoyar, Sonali Zunke, Vrushabha Patil, Priyanka Samundre, Ansh Devendra Dulewale · 2026 · IEEE World Conference on Applied Intelligence and Computing (AIC)
  7. A novel hybrid deep learning model based on TCN-Bi LSTM-CNN for smart buildings energy forecasting: enabling sustainable and grid-aware optimization
    Ajay Kumar, Rainu Nandal, Kamaldeep Joshi · 2026 · International Journal of Systems Assurance Engineering and Management
  8. AquaSense: A Hybrid AI Approach for Fish Species Recognition and Freshness Detection
    Karne Shashank, Karukonda Bhavana, NENAVATH BHANU PRAKASH · 2026 · International Conference on Emerging Techniques in Computational Intelligence (ICETCI)
  9. GIPACount: Global interaction and prototype-guided aggregation network for exemplar-conditioned few-shot object counting
    Jinghui He, Bo Liu, Fan Cao · 2026 · Neural Networks
  10. Voice-Enabled Wearable System for Visual Accessibility for the Visually Impaired
    A. Yovan Felix, Kishor S, Preethy Jemima P · 2026
  11. ANN-to-SNN Conversion with Quantized ANNs and Multi-Threshold Neurons on Large-scale Sketch Data
    Jonathan Carlo, Bren Alden, Kartika Purwandari · 2026 · 2026 7th International Conference on Artificial Intelligence and Data Sciences (AiDAS)
  12. Seismic Deblending via an Adjacent‐CRG‐Assisted Multistep Deep Learning Framework
    Shicong Lin, Benfeng Wang · 2026 · Journal of Geophysical Research Machine Learning and Computation
  13. Agritrust Pro: a Real-Time Spatial Object Detection Framework for Multi-Crop Pathology Diagnosis and Soil Macronutrient Remediation
    Dilip R, Shamshekhar S. Patil · 2026
  14. Comparative Study of CNN and Vision Transformer (ViT) Models for Image Classification on the Fruits-360 Dataset
    Janet Jomy, Tushar Khadangle, R.V. Siva Balan · 2026 · Lecture notes in electrical engineering
  15. COMPUTER VISION METHODS AND ALGORITHMS FOR REAL-TIME IDENTIFICATION OF HUMAN EMOTIONAL STATES
    Dmytro Lutsak · 2026 · Інфокомунікаційні та комп’ютерні технології
  16. Inspection Factorization for Hardware-Efficient 2D Fast Convolution
    Társio Onofrio Da Silva, Fernando Moraes · 2026 · Symposium on Integrated Circuits and Systems Design
  17. Brain Tumor Segmentation Using Deep Learning with Grad-CAM Explainability on Multimodal MRI Images
    Milind V A, Hrithik Gopakumar, Rajalakshmi V R · 2026 · International Conference on Natural Language Processing and Computer Vision (ICNPCV)
  18. Explainable Deep Learning Framework for Neonatal EEG Seizure Detection Using ConvNext and Spectrogram Analysis
    Jithin, Anvisha N. Murthy, Kusuma Ck · 2026 · 2026 International Conference on Natural Language Processing and Computer Vision (ICNPCV)
  19. Meta-analysis of AI posture recognition for work-related musculoskeletal disorders prevention in occupational activities: comparison between untransformed, logit and Freeman-Tukey transformed performance
    Philippe Gorce, Julien Jacquier-Bret · 2026 · Frontiers in Artificial Intelligence
  20. A Deep Learning–Based Framework for Blood Group Prediction Using Fingerprint Image Patterns
    Sarthak Lal, Krishna Somani, Sudha D · 2026 · International Conference on Natural Language Processing and Computer Vision (ICNPCV)
  21. A Transfer Learning Approach for Accurate Chest Cancer Classification from Medical Images
    Naveen Negi, Gotte Ranjith Kumar, Parul Nasra, Ishu Rani, Deepak Sharma · 2026 · International Conference on Natural Language Processing and Computer Vision (ICNPCV)
  22. UCLiteBNet: An efficient and lightweight microalgae segmentation model based on depthwise separable Bayesian convolution
    Ziyue Liu, Yuan Cheng, Yuan Cheng, Shuo Yan, Xin Wang, Fengyu Tian, Liming Cao, Daoming Jia, Hai Bi · 2026 · SSRN Electronic Journal
  23. A Clinical Primer on Computer Vision
    Jon Parkinson, Claudia Lindner · 2026 · Calcified Tissue International
  24. DPSM: Fine-Grained GPU Resource Management via Kernel Interception and TPC Control
    Desheng Wang, Fuzhen Yong, Sichao Chen, Shuo Si, Meng Hao, Hongwei Yang, Wei Zhang · 2026 · ACM Transactions on Architecture and Code Optimization
  25. Artificial Intelligence in Beer Brewing: A Comprehensive Review
    Krzysztof Rewak, Karol Zygadło, Mateusz Jackowski · 2026 · Beverages
  26. A Simple Stochastic Algorithm for Structural Features Learning
    Jan Mačák, Ondřej Drbohlav · 2015 · Lecture notes in computer science
  27. Approximation and Relaxation Approaches for Parallel and Distributed Machine Learning
    Stephen Tyree · 2014
  28. Enhancing low-level features with mid-level cues
    Eduard Trulls · 2015
  29. Taxonomy of Feature Description Attributes
    Scott Krig · 2016 · Springer eBooks
  30. Discovering Multi-relational Latent Attributes by Visual Similarity Networks
    Fatemeh Shokrollahi Yancheshmeh, Joni‐Kristian Kämäräinen, Ke Chen · 2015 · Lecture notes in computer science
  31. Using Support Vector Machines, Convolutional Neural Networks and Deep Belief Networks for Partially Occluded Object Recognition
    Joseph Lin Chu · 2014 · Spectrum Research Repository (Concordia University)
  32. Aggressive Data Transfer Reduction by loop fusion and re-computation for dedicated accelerators
    Mcj Maurice Peemen, Bart Mesman, Henk Corporaal · 2015 · TU/e Research Portal
  33. Past, Present, and Future of Sensor-Based Human Activity Recognition Using Wearables: A Surveying Tutorial on a Still Challenging Task
    Haresamudram, Harish, Tang, Chi Ian, Suh, Sungho, Lukowicz, Paul, Ploetz, Thomas · 2024 · arXiv
  34. MoCHA-former: Moiré-Conditioned Hybrid Adaptive Transformer for Video Demoiréing
    Sung, Jeahun, Roh, Changhyun, Eom, Chanho, Oh, Jihyong · 2026 · Neurocomputing
  35. DiffSim: Taming Diffusion Models for Evaluating Visual Similarity
    Song, Yiren, Liu, Xiaokang, Shou, Mike Zheng · 2024 · arXiv