# What can Computer Vision learn from Ranganathan?

arXiv: https://arxiv.org/abs/2601.22634 · HTML: https://mlsanity.com/paper/2601.22634/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 11 of its 19 references that are in the map.
- First posted on arXiv 30 Jan 2026.

## Builds on (most cited first, 11 of 11)

- [From ImageNet to Image Classification: Contextualizing Progress on Benchmarks](https://mlsanity.com/paper/2005.11295/) (2020)
- [Continual egocentric object recognition](https://mlsanity.com/paper/1912.05029/) (2019)
- [Aligning Visual and Lexical Semantics](https://mlsanity.com/paper/2212.06629/) (2022)
- [A semantics-driven methodology for high-quality image annotation](https://mlsanity.com/paper/2307.14119/) (2023)
- [Object Recognition as Classification via Visual Properties](https://mlsanity.com/paper/2112.10531/) (2021)
- [A Diversity-Aware Domain Development Methodology](https://mlsanity.com/paper/2208.13064/) (2022)
- [Representation Heterogeneity](https://mlsanity.com/paper/2207.01091/) (2022)
- [Incremental Image Labeling via Iterative Refinement](https://mlsanity.com/paper/2304.08989/) (2023)
- [Egocentric Hierarchical Visual Semantics](https://mlsanity.com/paper/2305.05422/) (2023)
- [From Knowledge Representation to Knowledge Organization and Back](https://mlsanity.com/paper/2312.07302/) (2023)
- [Language and Knowledge Representation: A Stratified Approach](https://mlsanity.com/paper/2504.11492/) (2025)

## Abstract (arXiv)

The Semantic Gap Problem (SGP) in Computer Vision (CV) arises from the misalignment between visual and lexical semantics leading to flawed CV dataset design and CV benchmarks. This paper proposes that classification principles of S.R. Ranganathan can offer a principled starting point to address SGP and design high-quality CV datasets. We elucidate how these principles, suitably adapted, underpin the vTelos CV annotation methodology. The paper also briefly presents experimental evidence showing improvements in CV annotation and accuracy, thereby, validating vTelos.