Image Feature
Image features are fundamental representations extracted from images, aiming to capture essential visual information for various tasks like image classification, retrieval, and editing. Current research focuses on developing robust and generalizable feature extraction methods, often employing deep learning architectures such as Vision Transformers and GANs, as well as exploring the use of multimodal models integrating text and image information. These advancements are crucial for improving the performance and interpretability of computer vision systems, impacting diverse fields from medical image analysis and remote sensing to aesthetic research and the detection of societal biases in datasets.
Papers
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