- Nicola Messina, Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro. Learning visual features for relational CBIR. IJMIR, 9(2):113-124, 2020.
- Vy Nguyen, Thanh Duc Ngo. Single-image crowd counting: a comparative survey on deep learning-based approaches. IJMIR, 9(2):63-80, 2020.
- Noa Garcia, Benjamin Renoust, Yuta Nakashima. ContextNet: representation and exploration for painting classification and retrieval in context. IJMIR, 9(1):17-30, 2020.
- Qianqian Wang, Feng Su, Yuyang Wang. Hierarchical attentive deep neural networks for semantic music annotation through multiple music representations. IJMIR, 9(1):3-16, 2020.
- Philipp Blandfort, Tushar Karayil, Jörn Hees, Andreas Dengel 0001. The Focus-Aspect-Value model for predicting subjective visual attributes. IJMIR, 9(1):47-60, 2020.
- Chiranjib Sur. MRECN: mixed representation enhanced (de)compositional network for caption generation from visual features, modeling as pseudo tensor product representation. IJMIR, 9(4):291-316, 2020.
- Ard Oerlemans, Yanming Guo, Michael S. Lew, Tat-Seng Chua. Special issue on deep learning in image and video retrieval. IJMIR, 9(2):61-62, 2020.
- Zenonas Theodosiou, Nicolas Tsapatsoulis. Image annotation: the effects of content, lexicon and annotation method. IJMIR, 9(3):191-203, 2020.
- Christian Otto, Matthias Springstein, Avishek Anand, Ralph Ewerth. Characterization and classification of semantic image-text relations. IJMIR, 9(1):31-45, 2020.
- Noura Bouhlel, Ghada Feki, Anis Ben Ammar, Chokri Ben Amar. Hypergraph learning with collaborative representation for image search reranking. IJMIR, 9(3):205-214, 2020.