TallyQA: Answering Complex Counting Questions

Most counting questions in visual question answering (VQA) datasets are simple and require no more than object detection. Here, we study algorithms for complex counting questions that involve relationships between objects, attribute identification, reasoning, and more. To do this, we created TallyQA, the world's largest dataset for open-ended counting. We propose a new algorithm for counting that uses relation networks with region proposals. Our method lets relation networks be efficiently used with high-resolution imagery. It yields state-of-the-art results compared to baseline and recent systems on both TallyQA and the HowMany-QA benchmark.Comment: To appear in AAAI 2019 ( To download the dataset please go to http://www.manojacharya.com/

Cross-cultural impact on the budgeting cycle: a preliminary analysis of Anglo-American and Libyan companies operating in Libyan oil sector

[Abstract]: Globalization is causing the rapid integration of markets, nations, and technology, which facilitates faster contact between people, corporations, and nations. However, there is a failure to notice cultural differences that exist between workforces across nations. Thus all staff needs to have cultural sensitivity, which could be helped by studying cross-cultural differences. Current understanding of how and why specific budget aspects and budgeting processes are different could be attributed to cultural differences. This study utilizes societal cultural dimensions identified by Hofstede to identify differences in budgets and budgeting process between Libyan and Anglo-American companies operating in Libyan oil sector. Some preliminary analysis is discussed