Image recognition systems have difficulties with context interpretation, occlusion, and varying viewpoints. Real-time processing becomes an issue, too, as it requires heavy computational resources. One should also remember about adversarial attacks and concerns regarding potential biases in training data.
Nov 18, 2024
Indexing and retrieval of images and videos are very challenging due to the primitive nature of their raw data representations which lack readily available ...
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Difficulties in Image Retrieval. • My ideas on difficulties: 1. information scarcity. 2. lack of motivation. – Difficulties in MIR [jaimes 05]. • query ...
Jun 7, 2019 · Background Clutter: Having a ton of objects in the image makes it an uphill battle to find a particular object. These are clutter or noises.
Apr 6, 2023 · One of the main challenges for image captioning and retrieval is the quality and diversity of the data used to train and evaluate the models.
Jul 17, 2013 · Vocabulary mismatch problem due to synonymy and polysemy. The same word has different meanings. · IR-systems mostly rely on lexical similarity ...
The major drawback of CBIR is its inability to distinguish the characteristics of heterogeneous medical images. Considering the limitations of both approaches, ...
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The semantic gap is often regarded as a major problem in the field of image retrieval research. In this paper, I will show that there are other important ...
Apr 10, 2024 · 3 Results · 1. The frequency of trouble finding photos before sharing · 2. Number of photos the users have on their laptops/desktops · 3. Number ...
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This paper attempts to discuss the evolution of the retrieval techniques focusing on development, challenges and trends of the image retrieval. It highlights ...