
International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 7 Issue 3
May-June 2025
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The Evolution of Computer Vision: Trends, Challenges, and the Role of Hybrid CNN-Transformer Models in Enhancing Interpretability and Training Dynamics
Author(s) | Ms. vaidehi siddheshwar kokare, Ms. vedanti sandiprao kavitkar, Ms. sonia Munnalal Jangid |
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Country | India |
Abstract | The goal of computer vision, a branch of artificial intelligence (AI), is to enable machines to process and interpret visual data. From manual feature extraction in the past to advanced deep learning models like VisionTransformers (ViTs) and ConvolutionalNeuralNetworks (CNNs), computer vision has evolved throughout time. Despite their success, these models face challenges related to interpretability, training complexity, and computational load. This research explores the integration of CNNs and ViTs into hybrid architectures, aiming to enhance model transparency, efficiency, and performance in real-world applications. |
Field | Computer > Artificial Intelligence / Simulation / Virtual Reality |
Published In | Volume 7, Issue 3, May-June 2025 |
Published On | 2025-05-04 |
DOI | https://doi.org/10.36948/ijfmr.2025.v07i03.42100 |
Short DOI | https://doi.org/g9hscx |
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E-ISSN 2582-2160

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IJFMR DOI prefix is
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