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20172021
most citedMST: Masked Self-Supervised Transformer for Visual Representation

29 citations · 49 across the 5 of their papers we have counts for

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6 papers · 1 filter

cs.CV20212 cited

Video Similarity and Alignment Learning on Partial Video Copy Detection

Zhen Han, Xiangteng He, Mingqian Tang +1

Existing video copy detection methods generally measure video similarity based on spatial similarities between key frames, neglecting the latent similarity in temporal dimension, s…

cs.CV202129 cited

MST: Masked Self-Supervised Transformer for Visual Representation

Zhaowen Li, Zhiyang Chen, Fan Yang +8

Transformer has been widely used for self-supervised pre-training in Natural Language Processing (NLP) and achieved great success. However, it has not been fully explored in visual…

cs.CV20214 cited

Adaptive Class Suppression Loss for Long-Tail Object Detection

Tong Wang, Yousong Zhu, Chaoyang Zhao +3

To address the problem of long-tail distribution for the large vocabulary object detection task, existing methods usually divide the whole categories into several groups and treat…

cs.CV2018

High-speed Tracking with Multi-kernel Correlation Filters

Ming Tang, Bin Yu, Fan Zhang +1

Correlation filter (CF) based trackers are currently ranked top in terms of their performances. Nevertheless, only some of them, such as KCF~\cite{henriques15} and MKCF~\cite{tangm…

cs.CV20176 cited

Fast Deep Matting for Portrait Animation on Mobile Phone

Bingke Zhu, Yingying Chen, Jinqiao Wang +3

Image matting plays an important role in image and video editing. However, the formulation of image matting is inherently ill-posed. Traditional methods usually employ interaction…

cs.CV20178 cited

Joint Background Reconstruction and Foreground Segmentation via A Two-stage Convolutional Neural Network

Xu Zhao, Yingying Chen, Ming Tang +1

Foreground segmentation in video sequences is a classic topic in computer vision. Due to the lack of semantic and prior knowledge, it is difficult for existing methods to deal with…