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20172022
most citedBridge-Prompt: Towards Ordinal Action Understanding in Instructional Videos

4 citations · 5 across the 3 of their papers we have counts for

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5 papers · 1 filter

cs.CV2022★ 4 cited

Bridge-Prompt: Towards Ordinal Action Understanding in Instructional Videos

Muheng Li, Lei Chen, Yueqi Duan +4

Action recognition models have shown a promising capability to classify human actions in short video clips. In a real scenario, multiple correlated human actions commonly occur in…

cs.CV2020

Investigating Class-level Difficulty Factors in Multi-label Classification Problems

Mark Marsden, Kevin McGuinness, Joseph Antony +6

This work investigates the use of class-level difficulty factors in multi-label classification problems for the first time. Four class-level difficulty factors are proposed: freque…

cs.CV2018

Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration

Yang He, Ping Liu, Ziwei Wang +2

Previous works utilized ''smaller-norm-less-important'' criterion to prune filters with smaller norm values in a convolutional neural network. In this paper, we analyze this norm-b…

cs.CV2018

Query Attack via Opposite-Direction Feature:Towards Robust Image Retrieval

Zhedong Zheng, Liang Zheng, Yi Yang +1

Most existing works of adversarial samples focus on attacking image recognition models, while little attention is paid to the image retrieval task. In this paper, we identify two i…

cs.CV2017

Improving Person Re-identification by Attribute and Identity Learning

Yutian Lin, Liang Zheng, Zhedong Zheng +4

Person re-identification (re-ID) and attribute recognition share a common target at learning pedestrian descriptions. Their difference consists in the granularity. Most existing re…