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@article{178601,
        author = {Rudrangsh Sharma and Chhavi Kanjolia},
        title = {Computer Vision Advancements and Applications},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {3859-3861},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178601},
        abstract = {Computer vision has quickly advanced from conventional image processing methods to cutting- edge deep learning-based strategies, influencing sectors including retail, healthcare, and driverless cars. In this work, the latest methods for object identification, picture segmentation, and scene comprehension are reviewed, and their uses are examined. It also covers issues including ethical considerations, computing efficiency, and data bias. The next stage of computer vision research is envisioned by highlighting future topics like multi- modal learning and explainable AI.},
        keywords = {Computer Vision, Image Processing, Object Detection, Image Segmentation, Convolutional Neural Networks (CNNs), Generative Adversarial Networks (GANs), Semantic Segmentation, Vision Transformers (ViTs), Augmented Reality (AR), Explainable AI (XAI).},
        month = {May},
        }