In this paper, we combine cosine similarity metric learning with very deep convolutional neural network, yielding a robust appearance pairwise matching model: a ...

This paper combines cosine similarity metric learning with very deep convolutional neural network, yielding a robust appearance pairwise matching model: a ...

A visual tracker for multiple-object motion estimation in real-time is proposed. A proposal engine that employs inertia, attention, and multi-resolution ...

In this paper, we combine cosine similarity metric learning with very deep convolutional neural network, yielding a robust appearance pairwise matching model: a ...

In this paper, we formulate Siamese trackers within an end-to-end trainable multi-object tracking network. (SiamMOT). The closest work to ours is DeepMOT that.

Sep 1, 2022 · In this paper, a real-time single object tracking algorithm is proposed based on a Siamese network to solve this problem.

Aug 3, 2024 · Siamese networks are general models for comparing entities, which have various applications including face verification [15] , visual tracking [ ...

In this section, we propose a classification model established on metric learning, where similarities defined on the learned embedding are directly employed ...

Specifically, MASNet mainly consists of three modules: channel and spatial attention module, learnable self-attention module and learnable cross-attention ...

We build such a tracker by extracting semantic features using robust Siamese networks and multi-granularity color features.