The 1st edition of the TextCaps Challenge was organised at CVPR 2020. Specifically, models need to incorporate a new modality of text present in the images and reason over it and visual content in the image to generate image descriptions. TextCaps requires models to read and reason about text in images to generate captions about them. TextCaps: This track is the 2nd challenge on the TextCaps dataset introduced in Sidrov et al., ECCV 2020. The 1st edition and 2nd edition of the TextVQA Challenge were organised at CVPR 2019 and CVPR 2020. Models then need to reason about this to answer the question. In order to perform well on this task, models need to first detect and read text in the images. TextVQA requires models to read and reason about text in an image to answer questions based on them. TextVQA: This track is the 3rd challenge on the TextVQA dataset introduced in Singh et al., CVPR 2019. Submission Deadline: Friday, 23:59:59 GMT ( ) VQA v2.0 is more balanced and reduces language biases over VQA v1.0, and is about twice the size of VQA v1.0. The 2nd, 3rd, 4th and 5th editions were organised at CVPR 2017, CVPR 2018, CVPR 2019 and CVPR 2020 on the VQA v2.0 dataset, and the 1st edition was organised at CVPR 2016 on the VQA v1.0 dataset introduced in Antol et al., ICCV 2015.
VQA: This track is the 6th challenge on the VQA v2.0 dataset introduced in Goyal et al., CVPR 2017. There will be three tracks in the Visual Question Answering Challenge this year. First is to benchmark progress in Visual Question Answering. The primary goal of this workshop is two-fold. Justin Johnson, He He, Mohit Bansal, Katerina Fragkiadaki, Anirudh Koul Hosted on Gatherly, joining link on the internal CVPR website Individual live QA for challenge related talks and poster spotlight presenters.
Hosted on Zoom, joining link on the internal CVPR website Vittorio Ferrari, Damien Teney, Raquel Fernández, Aida Nematzadeh, Olga Russakovsky Navigate to: Workshops -> Sat, June 19 -> Search for "Visual Question Answering" workshop entry Ended Zoom and Gatherly links on CVPR 2021 website: Link
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