CorrFormer: Context-aware tracking with cross-correlation and transformer | Semantic Scholar (2024)

Topic

Transformer (opens in a new tab)

19 Citations

SONet: A Small Object Detection Network for Power Line Inspection Based on YOLOv8
    Weicheng ShiXiaoqin LyuLei Han

    Engineering, Computer Science

    IEEE Transactions on Power Delivery

  • 2024

A multi-branch dilated convolution module (MDCM), an adaptive attention feature fusion structure (AAFF), and β-CIoU loss are proposed to dynamically optimize the learning rate during bounding box regression, thereby enhancing the detection accuracy of small objects.

Learning multi-layer interactive residual feature fusion network for real-time traffic sign detection with stage routing attention
    Jianming ZhangYao YiZulou WangFayez AlqahtaniJin Wang

    Computer Science, Engineering

    Journal of Real-Time Image Processing

  • 2024
Spatio-temporal SiamFC: per-clip visual tracking with siamese non-local 3D convolutional networks and multi-template updating
    Yan GuiYiru OuMin LiangJianming ZhangZhihua Chen

    Computer Science, Engineering

    Pattern Analysis and Applications

  • 2024
Selective Information Flow for Transformer Tracking
    Janani KugarajeevanT. KokulAmirthalingam RamananSubha Fernando

    Engineering, Computer Science

    Expert Syst. Appl.

  • 2025
Geolocation Representation from Large Language Models are Generic Enhancers for Spatio-Temporal Learning
    Junlin HeTong NieWei Ma

    Computer Science, Geography

    ArXiv

  • 2024

A novel, training-free method that leverages large language models (LLMs) and auxiliary map data from OpenStreetMap to derive geolocation representations (LLMGeovec), which can represent the geographic semantics of city, country, and global scales, which acts as a generic enhancer for spatio-temporal learning.

SiamS3C: spatial-channel cross-correlation for visual tracking with centerness-guided regression
    Jianming ZhangWentao ChenYufan HeLi-Dan KuangA. K. Sangaiah

    Computer Science, Engineering

    Multim. Syst.

  • 2024
DBANet: Dual-branch Attention Network for hyperspectral remote sensing image classification
    Zexu LiGongchao Chen Weidong Zhang

    Environmental Science, Computer Science

    Comput. Electr. Eng.

  • 2024
  • 4
Design and Analysis of a Novel Fractional-Order System with Hidden Dynamics, Hyperchaotic Behavior and Multi-Scroll Attractors
    Fei YuShuai XuYue LinTing HeChaoran WuHairong Lin

    Engineering, Physics

    Mathematics

  • 2024

The design of chaotic systems with complex dynamic behaviors has always been a key aspect of chaos theory in engineering applications. This study introduces a novel fractional-order system

  • 1
  • PDF
Improved Medical Image Inpainting using Automatic Multi-Task Learning Driven Deep Learning Approach
    Poonam L RakibeDr. Pramod D Patil

    Medicine, Computer Science

    e-Prime - Advances in Electrical Engineering…

  • 2024
SCATT: Transformer tracking with symmetric cross-attention
    Jianming ZhangWentao ChenJiangxin DaiJin Zhang

    Computer Science, Engineering

    Appl. Intell.

  • 2024
  • 1

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16 References

Joint Semantic-Instance Segmentation Method for Intelligent Transportation System
    Yujie LiJin-Lin CaiQuan ZhouHuimin Lu

    Computer Science, Engineering

    IEEE Transactions on Intelligent Transportation…

  • 2023

A new feature extraction network for segmentation is proposed by adding an encoder-decoder structure, which can extract the multiscale local feature information from the feature map and greatly improves both semantic segmentation and instance segmentation tasks.

  • 22
Learning Latent Dynamics for Autonomous Shape Control of Deformable Object
    Huimin LuYadong TengYujie Li

    Computer Science, Engineering

    IEEE Transactions on Intelligent Transportation…

  • 2023

The method jointly optimizes the visual representation model and dynamic model of deformable objects, maps the target nonlinear state to linear latent space which avoids model inference for deformableObjects in infinite-dimensional configuration spaces and achieves substantial performance improvements.

  • 15
Siamese visual tracking based on criss-cross attention and improved head network
    Jianming ZhangHaitao HuangXiaokang JinLi-Dan KuangJin Zhang

    Computer Science

    Multim. Tools Appl.

  • 2024

This work proposes a novel Siamese anchor-free network based on criss-cross attention and an improved head network that reduces the impact of background information or distractors and can obtain high-quality bounding boxes, generating more accurate and robust tracking results.

  • 28
An object tracking framework with recapture based on correlation filters and Siamese networks
    Jianming ZhangJuan SunJin WangZongping LiX. Chen

    Computer Science, Engineering

    Comput. Electr. Eng.

  • 2022
  • 92
The Eighth Visual Object Tracking VOT2020 Challenge Results
    M. KristanA. Leonardis Ziang Ma

    Computer Science

    ECCV Workshops

  • 2020

A significant novelty is introduction of a new VOT short-term tracking evaluation methodology, and introduction of segmentation ground truth in the VOT-ST2020 challenge – bounding boxes will no longer be used in theVDT challenges.

  • 235
Ocean: Object-aware Anchor-free Tracking
    Zhipeng ZhangHouwen Peng

    Computer Science

    ECCV

  • 2020

This paper introduces a feature alignment module to learn an object-aware feature from predicted bounding boxes that can further contribute to the classification of target objects and background and presents a novel tracking framework based on the anchor-free model.

Know Your Surroundings: Exploiting Scene Information for Object Tracking
    Goutam BhatMartin DanelljanL. GoolR. Timofte

    Computer Science

    ECCV

  • 2020

This work proposes a novel tracking architecture which can utilize scene information as dense localized state vectors, which can encode, for example, if the local region is target, background, or distractor and combined with the appearance model output to localize the target.

  • 273
  • PDF
SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines
    Yinda XuZeyu WangZuoxin LiYuan YeGang Yu

    Computer Science

    AAAI

  • 2020

This work proposes a set of practical guidelines of target state estimation for high-performance generic object tracker design and designs the Fully Convolutional Siamese tracker++ (SiamFC++), which achieves state-of-the-art performance on five challenging benchmarks, which proves both the tracking and generalization ability of the tracker.

  • 703
  • PDF
GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild
    Lianghua HuangXin ZhaoKaiqi Huang

    Computer Science, Environmental Science

    IEEE Transactions on Pattern Analysis and Machine…

  • 2021

A large tracking database that offers an unprecedentedly wide coverage of common moving objects in the wild, called GOT-10k, and the first video trajectory dataset that uses the semantic hierarchy of WordNet to guide class population, which ensures a comprehensive and relatively unbiased coverage of diverse moving objects.

  • 1,114
  • PDF
Decoupled Weight Decay Regularization
    I. LoshchilovF. Hutter

    Computer Science, Mathematics

    ICLR

  • 2019

This work proposes a simple modification to recover the original formulation of weight decay regularization by decoupling the weight decay from the optimization steps taken w.r.t. the loss function, and provides empirical evidence that this modification substantially improves Adam's generalization performance.

  • 17,480

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    CorrFormer: Context-aware tracking with cross-correlation and transformer | Semantic Scholar (2024)

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