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Investigating Foreign Language Vocabulary Recognition in Children with ADHD and Autism with the Use of Eye Tracking Technology [PDF]
Brain SciencesBackground: Neurodivergent students, including those with Autism Spectrum Disorder (ASD) and Attention Deficit/Hyperactivity Disorder (ADHD), frequently encounter challenges in several areas of foreign language (FL) learning, including vocabulary ...
Georgia Andreou, Ariadni Argatzopoulou
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Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach
PLoS ONE, 2013 We analyzed 700 million words, phrases, and topic instances collected from the Facebook messages of 75,000 volunteers, who also took standard personality tests, and found striking variations in language with personality, gender, and age.
H Andrew Schwartz +2 more
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Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [PDF]
Computer Vision and Pattern Recognition, 2023 We present ODISE: Open-vocabulary DIffusion-based panoptic SEgmentation, which unifies pre-trained text-image diffusion and discriminative models to perform open-vocabulary panoptic segmentation. Text-to-image diffusion models have the remarkable ability
Jiarui Xu +5 more
semanticscholar +1 more source
Side Adapter Network for Open-Vocabulary Semantic Segmentation [PDF]
Computer Vision and Pattern Recognition, 2023 This paper presents a new framework for open-vocabulary semantic segmentation with the pre-trained vision-language model, named Side Adapter Network (SAN). Our approach models the semantic segmentation task as a region recognition problem. A side network
Mengde Xu +4 more
semanticscholar +1 more source
ISSUES OF STUDENTS MOTIVATION IN FOREIGN LANGUAGE CLASSES [PDF]
Вісник університету ім. А. Нобеля. Серія Філологічні науки, 2022 Motivation of students plays one of the most important roles in the effective study of a foreign language. If he is not motivated, the student is inattentive in class, does not do homework and may even distract others.
Olena Ye. Beresten +2 more
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Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP [PDF]
Neural Information Processing Systems, 2023 Open-vocabulary segmentation is a challenging task requiring segmenting and recognizing objects from an open set of categories. One way to address this challenge is to leverage multi-modal models, such as CLIP, to provide image and text features in a ...
Qihang Yu +4 more
semanticscholar +1 more source
Scaling Open-Vocabulary Object Detection [PDF]
Neural Information Processing Systems, 2023 Open-vocabulary object detection has benefited greatly from pretrained vision-language models, but is still limited by the amount of available detection training data.
Matthias Minderer +2 more
semanticscholar +1 more source
OpenMask3D: Open-Vocabulary 3D Instance Segmentation [PDF]
Neural Information Processing Systems, 2023 We introduce the task of open-vocabulary 3D instance segmentation. Current approaches for 3D instance segmentation can typically only recognize object categories from a pre-defined closed set of classes that are annotated in the training datasets.
Ayca Takmaz +5 more
semanticscholar +1 more source
Towards Open Vocabulary Learning: A Survey [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 In the field of visual scene understanding, deep neural networks have made impressive advancements in various core tasks like segmentation, tracking, and detection.
Jianzong Wu +11 more
semanticscholar +1 more source