Results 81 to 90 of about 238,485 (114)

Weakly Supervised 3D Open-vocabulary Segmentation

Neural Information Processing Systems, 2023
Open-vocabulary segmentation of 3D scenes is a fundamental function of human perception and thus a crucial objective in computer vision research. However, this task is heavily impeded by the lack of large-scale and diverse 3D open-vocabulary segmentation
Kunhao Liu, Fangneng Zhan, Jiahui Zhang, Muyu Xu, Yingchen Yu, A. E. Saddik, C. Theobalt, Eric P. Xing, Shijian Lu   +8 more
semanticscholar   +1 more source

Scaling Open-Vocabulary Image Segmentation with Image-Level Labels

European Conference on Computer Vision, 2021
We design an open-vocabulary image segmentation model to organize an image into meaningful regions indicated by arbitrary texts. Recent works (CLIP and ALIGN), despite attaining impressive open-vocabulary classification accuracy with image-level caption ...
Golnaz Ghiasi, Xiuye Gu, Yin Cui, Tsung-Yi Lin   +3 more
semanticscholar   +1 more source

A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-Language Model

European Conference on Computer Vision, 2021
Recently, open-vocabulary image classification by vision language pre-training has demonstrated incredible achievements, that the model can classify arbitrary categories without seeing additional annotated images of that category.
Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Han Hu, Xiang Bai   +6 more
semanticscholar   +1 more source

Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies

Neural Information Processing Systems
Research on scaling large language models (LLMs) has primarily focused on model parameters and training data size, overlooking the role of vocabulary size. We investigate how vocabulary size impacts LLM scaling laws by training models ranging from 33M to
Chaofan Tao, Qian Liu, Longxu Dou, Niklas Muennighoff, Zhongwei Wan, Ping Luo, Min Lin, Ngai Wong   +7 more
semanticscholar   +1 more source

Evaluation of automated vocabulary quiz generation with VocQGen

Vocabulary Learning and Instruction
VocQGen is an automated tool designed to generate multiple-choice cloze (MCC) questions for vocabulary assessment in second language learning contexts. It leverages several natural language processing (NLP) tools and OpenAI’s GPT-4 model to produce MCC ...
Qiao Wang, Ralph L. Rose, Ayaka Sugawara, Naho Orita   +3 more
semanticscholar   +1 more source

A frequency-based wordlist of Japanese junior high school textbook vocabulary

Vocabulary Learning and Instruction
Several studies have examined the content of Japanese junior high school textbooks in relation to various frequency-based word lists such as the New General Service List (NGSL) (Browne et al., 2013) (e.g, Nakayama, 2022a,b) and the British National ...
Ryan Klinger
semanticscholar   +1 more source

Vocabulary networks workshop 5 modelling attrition in a vocabulary network

Vocabulary Learning and Instruction
This paper is part 5 of a series of workshops that examines the properties of some simple models of vocabulary networks. While previous workshops dealt with activating words in the network, this workshop focuses on vocabulary loss.
Paul Meara, I. Miralpeix
semanticscholar   +1 more source

Effect of word-focused activity on reading and learning of L2 vocabulary: A self-paced reading study

Vocabulary Learning and Instruction
Many researchers suggest that text-reading should be followed by an activity that requires learners to use the new vocabulary, before they read the text again.
Hyeonah Kang, Janet Nicol
semanticscholar   +1 more source

The Impact of Loanwords on the English– Japanese Version of Vocabulary Size Test

Vocabulary Learning and Instruction
The Vocabulary Size Test (VST) measures English learners’ decontextualised receptive vocabulary knowledge of written English and has nine bilingual versions with multiple-choice options written in other languages.
Ayako Aizawa
semanticscholar   +1 more source

Vocabulary networks workshop 4: Changing the connections in a vocabulary network

Vocabulary Learning and Instruction
This paper is the fourth in a series of workshops that examine the implications of the vocabulary network metaphor. This workshop is looks at how a model vocabulary network reacts when changes are made to the links between the words that the network is ...
Paul Meara, I. Miralpeix
semanticscholar   +1 more source