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Moreover, we propose a new model architecture to perform depth-wise and layer-wise aggregations, which not only further improves the accuracy but also reduces the model size.
SOTA for Visual Object Tracking on VOT2017/18
In this paper we illustrate how to perform both visual object tracking and semi-supervised video object segmentation, in real-time, with a single simple approach.
#3 best model for Visual Object Tracking on VOT2017/18
During the off-line training phase, an effective sampling strategy is introduced to control this distribution and make the model focus on the semantic distractors.
#6 best model for Visual Object Tracking on VOT2017/18
Visual object tracking has been a fundamental topic in recent years and many deep learning based trackers have achieved state-of-the-art performance on multiple benchmarks.
#2 best model for Visual Object Tracking on VOT2017/18
To the best of our knowledge, this is the first paper to propose an online human pose tracking framework in a top-down fashion.
SOTA for Pose Tracking on PoseTrack2017
Short-term tracking is an open and challenging problem for which discriminative correlation filters (DCF) have shown excellent performance.
#9 best model for Visual Object Tracking on VOT2017/18
It combines a Convolutional Neural Network (CNN) backbone and a cross-correlation operator, and takes advantage of the features from exemplary images for more accurate object tracking.
#2 best model for Visual Object Tracking on VOT2016