An Overview of Challenges in Egocentric Text-Video Retrieval
arXiv:2306.04345v11 citationsh-index: 61
Originality Synthesis-oriented
AI Analysis
This addresses biases in retrieval for researchers, but it is incremental in nature.
The paper tackles challenges in egocentric text-video retrieval, focusing on biases such as frame length bias, and reports a simple method that yields a very incremental but promising increase in performance.
Text-video retrieval contains various challenges, including biases coming from diverse sources. We highlight some of them supported by illustrations to open a discussion. Besides, we address one of the biases, frame length bias, with a simple method which brings a very incremental but promising increase. We conclude with future directions.