1 code implementation • 6 Nov 2023 • Nobline Yoo, Olga Russakovsky
We (1) analyze the relationship between reconstruction quality and pose estimation accuracy, (2) develop a model pipeline that outperforms the baseline which inspired our work, using less than one-third the amount of training data, and (3) offer a new metric suitable for self-supervised settings that measures the consistency of predicted body part length proportions.
1 code implementation • 27 Nov 2020 • Arjun Mani, Nobline Yoo, Will Hinthorn, Olga Russakovsky
Concretely, we (1) introduce and motivate point-input questions as an extension of VQA, (2) define three novel classes of questions within this space, and (3) for each class, introduce both a benchmark dataset and a series of baseline models to handle its unique challenges.