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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   +3 more
semanticscholar   +1 more source

Open-Vocabulary DETR with Conditional Matching

European Conference on Computer Vision, 2022
Open-vocabulary object detection, which is concerned with the problem of detecting novel objects guided by natural language, has gained increasing attention from the community. Ideally, we would like to extend an open-vocabulary detector such that it can
Yuhang Zang   +4 more
semanticscholar   +1 more source

Vary: Scaling up the Vision Vocabulary for Large Vision-Language Models

arXiv.org, 2023
Modern Large Vision-Language Models (LVLMs) enjoy the same vision vocabulary -- CLIP, which can cover most common vision tasks. However, for some special vision task that needs dense and fine-grained vision perception, e.g., document-level OCR or chart ...
Haoran Wei   +8 more
semanticscholar   +1 more source

Vocabulary Strategies : Building New Vocabulary [PDF]

open access: possibleIndian Journal of Applied Research, 2011
One of the most important challenges that learners will face during the process of second language learning is learning vocabulary. Vocabulary has been recognized as crucial to language use in which insufficient vocabulary knowledge of the learners led to difficulties in second language learning.
K. Eliah K. Eliah, K. Suma Kiran
openaire   +1 more source

Is There an “Academic Vocabulary”?

TESOL Quarterly, 2007
This article considers the notion of academic vocabulary: the assumption that students of English for academic purposes (EAP) should study a core of high frequency words because they are common in an English academic register. We examine the value of the term by using Coxhead's (2000) Academic Word List (AWL) to explore the distribution of its 570 word
Hyland, Ken, Tse, Polly
openaire   +4 more sources

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   +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   +7 more
semanticscholar   +1 more source

Listen, attend and spell: A neural network for large vocabulary conversational speech recognition

IEEE International Conference on Acoustics, Speech, and Signal Processing, 2015
We present Listen, Attend and Spell (LAS), a neural speech recognizer that transcribes speech utterances directly to characters without pronunciation models, HMMs or other components of traditional speech recognizers.
William Chan   +3 more
semanticscholar   +1 more source

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