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How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challenges

Machine Intelligence Research 2023年第5期20卷 605-613页

作者： Haotong Qin Ge-Peng Ji Salman khan Deng-Ping Fan fahad shahbaz khan Luc Van Gool Computer Vision Lab(CVL) ETH ZurichZurich 8001Switzerland College of Engineering Computing&CyberneticsAustralian National UniversityCanberra 8105Australia Mohamed bin Zayed University of Artificial Intelligence Abu Dhabi 999041UAE

Google's Bard has emerged as a formidable competitor to OpenAI's ChatGPT in the field of conversational ***,Bard has recently been updated to handle visual inputs alongside text prompts during *** Bard's impressive track record in handling textual inputs,we explore its capabilities in understanding and interpreting visual data(images)conditioned by text *** exploration holds the potential to unveil new insights and challenges for Bard and other forthcoming multi-modal Generative models,especially in addressing complex computer vision problems that demand accurate visual and language ***,in this study,we focus on 15 diverse task scenarios encompassing regular,camouflaged,medical,under-water and remote sensing data to comprehensively evaluate Bard's *** primary finding indicates that Bard still struggles in these vision scenarios,highlighting the significant gap in vision-based understanding that needs to be bridged in future *** expect that this empirical study will prove valuable in advancing future models,leading to enhanced capabilities in comprehending and interpreting finegrained visual *** project is released on https://***/htqin/GoogleBard-VisUnderstand.

关键词： Google Bard multi-modal understanding visual comprehension large language models conversational AI chatbot.

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Effect of Water Stress on the Growth and Yield of Cotton Crop (<i>Gossypium hirsutum</i>L.)

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American Journal of Plant Sciences 2015年第7期6卷 1027-1039页

作者： Arbab Sahito Zulfiqar Ali Baloch Amanullah Mahar Sohail Ahmed Otho Shahmir Ali Kalhoro Amjad Ali fahad Ali Kalhoro Rab Nawaz Soomro Fayaz Ali Department of Agronomy Sindh Agriculture University Tando Jam Pakistan College of Economics and Management Sciences Northwest A&F University Yangling China College of Natural Resources and Environment Northwest A&F University Yangling China Centre for Environmental Sciences University of Sindh Jamshoro Pakistan College of Plant Protection Northwest A&F University Yangling China Faculty of Agriculture Lasbela University of Agriculture Water & Marine Sciences Lasbela Pakistan Department of Plant Breeding and Genetics Sindh Agriculture University Tando Jam Pakistan College of Animal Science and Technology Northwest A&F University Yangling China

Cotton is one of the most important fibre crops playing a key role in economic and social affairs of the world. Water is a critical factor which influences on growth and yield of the cotton crop. Scarcity of water has put tremendous pressure on scientists to introduce drought tolerant cotton varieties. This study was aimed to determine water stress effects on the growth and yield of cotton. The present study was carried out to examine the effect of number of irrigations on the growth and yield of cotton during 2014. The field trial was conducted at the Experimental Fields of Agronomy Section, Agriculture Research Institute, Tandojam, Pakistan. A three replicated Randomized Complete Block Design (RCBD) was employed to layout the experiment having plot size of 2.5 m × 5 m (12.5 m2). Four cotton varieties i.e. NIAB-78, shahbaz-95, Sindh-1 and TH-224/87 were chosen for this study based on their frequent farmer usage. All the agronomic practices were performed according to standard procedures. Results showed that all the growth and yield components of cotton were significantly (P 0.05) affected by irrigation frequencies. The cotton crop irrigated six times at 21 days interval showed better results with 138.16 cm plant height, 1.45 monopodial branches per plant, 21.83 sympodial branches per plant, 44.58 bolls per plant, 33.86% G.O.T., and 26.97 mm staple length, 149.84 g seed cotton yield per plant and 2271.16 kg·ha-1 seed cotton yield. This study concluded that variety NIAB-78 showed superiority over shahbaz-95, Sindh-1 and TH-224/87 in almost all the characters of economic importance, and the cotton crop received 6 irrigations at 21 days interval resulted in significantly economical overall performance as compared with 5 irrigations or 4 irrigations with higher seed cotton yield.

关键词： Cotton Crop Drought Stress Tolerance Yield

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