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Visual Analytics for Efficient Image Exploration and User-Guided Image Captioning. (arXiv:2311.01016v1 [cs.CV])
cs.CV updates on arXiv.org arxiv.org
Recent advancements in pre-trained large-scale language-image models have
ushered in a new era of visual comprehension, offering a significant leap
forward. These breakthroughs have proven particularly instrumental in
addressing long-standing challenges that were previously daunting. Leveraging
these innovative techniques, this paper tackles two well-known issues within
the realm of visual analytics: (1) the efficient exploration of large-scale
image datasets and identification of potential data biases within them; (2) the
evaluation of image captions and steering of their generation process. On …
analytics arxiv captioning challenges exploration image language paper scale visual visual analytics