activity
20202023
most citedCPT: Colorful Prompt Tuning for Pre-trained Vision-Language Models

86 citations · 121 across the 10 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.SD2022★ 1 cited

The ISCSLP 2022 Intelligent Cockpit Speech Recognition Challenge (ICSRC): Dataset, Tracks, Baseline and Results

Ao Zhang, Fan Yu, Kaixun Huang +7

This paper summarizes the outcomes from the ISCSLP 2022 Intelligent Cockpit Speech Recognition Challenge (ICSRC). We first address the necessity of the challenge and then introduce…

cs.CV2022★ 1 cited

Visually Grounded Commonsense Knowledge Acquisition

Yuan Yao, Tianyu Yu, Ao Zhang +8

Large-scale commonsense knowledge bases empower a broad range of AI applications, where the automatic extraction of commonsense knowledge (CKE) is a fundamental and challenging pro…

cs.SD2022

Minimizing Sequential Confusion Error in Speech Command Recognition

Zhanheng Yang, Hang Lv, Xiong Wang +2

Speech command recognition (SCR) has been commonly used on resource constrained devices to achieve hands-free user experience. However, in real applications, confusion among comman…

cs.CL2022

Prompt Tuning for Discriminative Pre-trained Language Models

Yuan Yao, Bowen Dong, Ao Zhang +6

Recent works have shown promising results of prompt tuning in stimulating pre-trained language models (PLMs) for natural language processing (NLP) tasks. However, to the best of ou…

cs.CV2022★ 4 cited

PEVL: Position-enhanced Pre-training and Prompt Tuning for Vision-language Models

Yuan Yao, Qianyu Chen, Ao Zhang +4

Vision-language pre-training (VLP) has shown impressive performance on a wide range of cross-modal tasks, where VLP models without reliance on object detectors are becoming the mai…

cs.CV2022★ 4 cited

Fine-Grained Scene Graph Generation with Data Transfer

Ao Zhang, Yuan Yao, Qianyu Chen +4

Scene graph generation (SGG) is designed to extract (subject, predicate, object) triplets in images. Recent works have made a steady progress on SGG, and provide useful tools for h…