Multiple instance learning (MIL) has been increasingly used in the
class...
In this paper, we propose a novel multi-level aggregation network to reg...
This paper proposes an adaptive auxiliary task learning based approach f...
Segmentation is an essential operation of image processing. The convolut...
Deep learning based visual trackers entail offline pre-training on large...
Semi-supervised approaches for crowd counting attract attention, as the ...
Video-based person re-identification (Re-ID) aims to retrieve video sequ...
Correlation acts as a critical role in the tracking field, especially in...
Video-based person re-identification (Re-ID) aims to automatically retri...
In this study, we propose a novel RGB-T tracking framework by jointly
mo...
In recent years, the multiple-stage strategy has become a popular trend ...
Long-term visual tracking has drawn increasing attention because it is m...
Adversarial attack of CNN aims at deceiving models to misbehave by addin...
The fully-convolutional siamese network based on template matching has s...
Compared with traditional short-term tracking, long-term tracking poses ...
Semantic Scene Completion (SSC) aims to simultaneously predict the volum...