Siamese global location-aware network for visual object tracking

Article Computer Science, Artificial Intelligence

SiamOAN: Siamese object-aware network for real-time target tracking

Bingbing Wei et al.

Summary: This paper proposes an object-aware network to improve feature representation and suppress background interference in object tracking. The network consists of background filter module, channel complementary module, and template adaptive network. Experimental results demonstrate that the proposed network outperforms state-of-the-art trackers on multiple benchmarks.

NEUROCOMPUTING (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

IMSiam: IoU-aware Matching-adaptive Siamese network for object tracking

Ke Tan et al.

Summary: This paper proposes an IoU-aware Matching-adaptive Siamese network (IMSiam) for visual tracking, which integrates multiple feature maps and adaptively samples matching information for target classification and bounding box regression. The introduction of an IoU-aware head improves the localization accuracy.

NEUROCOMPUTING (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Tracking by Joint Local and Global Search: A Target-Aware Attention-Based Approach

Xiao Wang et al.

Summary: The article proposes a novel target-aware attention mechanism, integrates it with the tracking-by-detection framework, conducts joint local and global search, and improves attention prediction performance through adversarial training.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2022)

添加到收藏夹

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)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Learning to Rank Proposals for Siamese Visual Tracking

Feng Tang et al.

Summary: This paper introduces a new strategy to rank the importance of training samples, as well as a lightweight ranking network to generate scores for proposals, which significantly boosts tracking performance.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2021)

添加到收藏夹

Article Automation & Control Systems

Low-altitude small-sized object detection using lightweight feature-enhanced convolutional neural network

Ye Tao et al.

Summary: A lightweight feature-enhanced convolutional neural network is proposed for real-time detection of low-altitude flying objects, providing high-precision detection in complex environments.

JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Learning Deep Lucas-Kanade Siamese Network for Visual Tracking

Siyuan Yao et al.

Summary: In recent years, Siamese trackers have gained attention for their accuracy and efficiency. However, the discriminative power of conventional Siamese trackers is limited by insufficient template-candidate representation. To address this issue, a novel framework is proposed to dynamically transform template-candidate features for improved similarity matching. The framework incorporates Lucas-Kanade network to enhance model adaptability and achieves competitive results in experiments.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Nocal-Siam: Refining Visual Features and Response With Advanced Non-Local Blocks for Real-Time Siamese Tracking

Huibin Tan et al.

Summary: Nocal-Siam improves Siamese trackers by introducing two novel non-local blocks to address the sensitivity to distracters issue, and it performs favorably against well-behaved counterparts in both quantity and quality.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2021)

添加到收藏夹

Article Automation & Control Systems