FEAR: Fast, Efficient, Accurate and Robust Visual Tracker

Article Computer Science, Artificial Intelligence

RegNet: Self-Regulated Network for Image Classification

Jing Xu et al.

Summary: The paper proposes a Regulated Residual Network (RegNet) that extracts complementary features from intermediate layers by introducing a regulator module as a memory mechanism. Experimental results demonstrate that RegNet performs well in image classification tasks compared to other architectures.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2023)

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Article Engineering, Civil

Deep Learning for Visual Tracking: A Comprehensive Survey

Seyed Mojtaba Marvasti-Zadeh et al.

Summary: This survey systematically investigates current deep learning-based visual tracking methods, benchmark datasets, and evaluation metrics, while extensively evaluating leading visual tracking methods.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2022)

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Article Computer Science, Artificial Intelligence

GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild

Lianghua Huang et al.

Summary: GOT-10k is a large tracking database that covers over 560 classes of moving objects and 87 motion patterns, providing a unified training and evaluation platform for tracker development. Additionally, the introduction of a one-shot protocol for tracker evaluation avoids biased results towards familiar objects and promotes generalization in tracker development.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2021)

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Proceedings Paper Computer Science, Artificial Intelligence

LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture Search

Bin Yan et al.

Summary: Object tracking has made significant progress in recent years, but state-of-the-art trackers are becoming heavier and more expensive. LightTrack, utilizing neural architecture search, has been designed to be more lightweight and efficient, with experimental results showing its effectiveness in resource-constrained environments.

2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2021 (2021)

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Article Engineering, Civil