Search Results for author: Ankur Sikarwar

Found 6 papers, 3 papers with code

Reason from Context with Self-supervised Learning

no code implementations23 Nov 2022 Xiao Liu, Ankur Sikarwar, Gabriel Kreiman, Zenglin Shi, Mengmi Zhang

To better accommodate the object-centric nature of current downstream tasks such as object recognition and detection, various methods have been proposed to suppress contextual biases or disentangle objects from contexts.

Object Recognition Self-Supervised Learning +1

When Can Transformers Ground and Compose: Insights from Compositional Generalization Benchmarks

1 code implementation23 Oct 2022 Ankur Sikarwar, Arkil Patel, Navin Goyal

On analyzing the task, we find that identifying the target location in the grid world is the main challenge for the models.

On the Efficacy of Co-Attention Transformer Layers in Visual Question Answering

no code implementations11 Jan 2022 Ankur Sikarwar, Gabriel Kreiman

In recent years, multi-modal transformers have shown significant progress in Vision-Language tasks, such as Visual Question Answering (VQA), outperforming previous architectures by a considerable margin.

POS Question Answering +1

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