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20132023
most citedHyperspectral Classification Based on Lightweight 3-D-CNN With Transfer Learning

228 citations · 314 across the 11 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CL2020

MeisterMorxrc at SemEval-2020 Task 9: Fine-Tune Bert and Multitask Learning for Sentiment Analysis of Code-Mixed Tweets

Qi Wu, Peng Wang, Chenghao Huang

Natural language processing (NLP) has been applied to various fields including text classification and sentiment analysis. In the shared task of sentiment analysis of code-mixed tw…

cs.CV20202 cited

Simple is not Easy: A Simple Strong Baseline for TextVQA and TextCaps

Qi Zhu, Chenyu Gao, Peng Wang +1

Texts appearing in daily scenes that can be recognized by OCR (Optical Character Recognition) tools contain significant information, such as street name, product brand and prices.…

cs.CV2020228 cited

Hyperspectral Classification Based on Lightweight 3-D-CNN With Transfer Learning

Haokui Zhang, Ying Li, Yenan Jiang +3

Recently, hyperspectral image (HSI) classification approaches based on deep learning (DL) models have been proposed and shown promising performance. However, because of very limite…

cs.CV20201 cited

Give Me Something to Eat: Referring Expression Comprehension with Commonsense Knowledge

Peng Wang, Dongyang Liu, Hui Li +1

Conventional referring expression comprehension (REF) assumes people to query something from an image by describing its visual appearance and spatial location, but in practice, we…

cs.CV202022 cited

Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene Graphs

Shizhe Chen, Qin Jin, Peng Wang +1

Humans are able to describe image contents with coarse to fine details as they wish. However, most image captioning models are intention-agnostic which can not generate diverse des…