Paper Citation Record · LEDGER

Learning Target-oriented Dual Attention for Robust RGB-T Tracking

As of 14 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:1908.04441.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1908.04441 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:46:55.893495Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:46:55.756991Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-14T13:46:55.974292Z

Reference resolution

29 of 29 outbound references displayed

verified exact0
verified fuzzy24
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 91c2a119-c899-4689-9775-ef479996c90f · outbound

This paper cites Learning Target-oriented Dual Attention for Robust RGB-T Tracking.

Learning Target-oriented Dual Attention for Robust RGB-T Tracking Learning Target-oriented Dual Attention for Robust RGB-T Tracking

Reference 1

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Observation f61a8e60-9c15-43c9-a315-c03831169a0d · outbound

This paper cites RGB-T tracking receives more and more attention in computer vision community with the popularity of thermal infrared sensors.

Learning Target-oriented Dual Attention for Robust RGB-T Tracking RGB-T tracking receives more and more attention in computer vision community with the popularity of thermal infrared sensors

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:46:56.367008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5a5fdd17-5258-4fd5-a3a6-fdbeb64a5f69 · outbound

This paper cites Network Architecture The overall pipeline of our RGB-T tracker can be found in Fig.

Learning Target-oriented Dual Attention for Robust RGB-T Tracking Network Architecture The overall pipeline of our RGB-T tracker can be found in Fig

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:46:56.334449Z

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Observation d5918f5d-e5f0-47f9-ba5c-c72282c8aae7 · outbound

This paper cites Datasets and Evaluation Criteria The GTOT-50 and RGBT-234 datasets are used in our ex- periment to validate the effectiveness of our tracker.

Learning Target-oriented Dual Attention for Robust RGB-T Tracking Datasets and Evaluation Criteria The GTOT-50 and RGBT-234 datasets are used in our ex- periment to validate the effectiveness of our tracker

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:46:56.301468Z

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Observation e0019dc0-8f0a-41ff-bcfc-57480aedcc69 · outbound

This paper cites However, they ignore the attention of the classiﬁer and their local search strategy in tracking-by-detection framework also limit their robustness.

Learning Target-oriented Dual Attention for Robust RGB-T Tracking However, they ignore the attention of the classiﬁer and their local search strategy in tracking-by-detection framework also limit their robustness

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:46:56.284979Z

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Observation 072111c8-17d3-4cf7-a49b-ae5a2855a9be · outbound

This paper cites an unresolved cited work.

Learning Target-oriented Dual Attention for Robust RGB-T Tracking Unresolved cited work

Reference 6

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Source-reported events for the cited work

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Observation 6d60422a-1c8e-4660-a549-47bea927cad0 · outbound

This paper cites Online multi-object track- ing using cnn-based single object tracker with spatial- temporal attention mechanism,.

Learning Target-oriented Dual Attention for Robust RGB-T Tracking Online multi-object track- ing using cnn-based single object tracker with spatial- temporal attention mechanism,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:46:56.207878Z

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Observation 55faf12a-e4b0-4412-b61d-97ff0f8b1519 · outbound

This paper cites The attention maps of each input training data can be obtained in each iteration of the classiﬁer training.

Learning Target-oriented Dual Attention for Robust RGB-T Tracking The attention maps of each input training data can be obtained in each iteration of the classiﬁer training

Reference 8

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Observation b12128b2-fd06-4c39-9ef4-afb36ab69a4e · outbound

This paper cites Sint++: Robust visual tracking via adversarial posi- tive instance generation,.

Learning Target-oriented Dual Attention for Robust RGB-T Tracking Sint++: Robust visual tracking via adversarial posi- tive instance generation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:46:56.253798Z

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Observation 678e7974-29ad-4628-8b3b-a851f7ca5e2b · outbound

This paper cites Learning adaptive selec- tion network for real-time visual tracking,.

Learning Target-oriented Dual Attention for Robust RGB-T Tracking Learning adaptive selec- tion network for real-time visual tracking,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:46:56.238690Z

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Observation b39b18e3-d539-4122-af32-c2d5982a8c1f · outbound

This paper cites RGB-T Object Tracking:Benchmark and Baseline.

Learning Target-oriented Dual Attention for Robust RGB-T Tracking RGB-T Object Tracking:Benchmark and Baseline

Reference 11

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Source-reported events for the cited work

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Observation e7fc4517-5a69-41de-8efa-3d6f552063e7 · outbound

This paper cites Describe and Attend to Track: Learning Natural Language guided Structural Representation and Visual Attention for Object Tracking.

Learning Target-oriented Dual Attention for Robust RGB-T Tracking Describe and Attend to Track: Learning Natural Language guided Structural Representation and Visual Attention for Object Tracking

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T13:46:55.812341Z

Source-reported events for the cited work

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Observation 4c420b86-cf5f-4f7b-a20b-8004a7bbfdf5 · outbound

This paper cites Tracking revisited using rgbd camera: Uniﬁed benchmark and baselines,.

Learning Target-oriented Dual Attention for Robust RGB-T Tracking Tracking revisited using rgbd camera: Uniﬁed benchmark and baselines,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:46:56.223632Z

Source-reported events for the cited work

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Observation 4b823a74-c575-476f-818c-8f092a87bfd3 · outbound

This paper cites FANet: Quality-Aware Feature Aggregation Network for Robust RGB-T Tracking.

Learning Target-oriented Dual Attention for Robust RGB-T Tracking FANet: Quality-Aware Feature Aggregation Network for Robust RGB-T Tracking

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T13:46:55.822388Z

Source-reported events for the cited work

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Observation 01d2f79a-a70a-4415-9b23-8da2220d573a · outbound

This paper cites Discrim- inative spatial attention for robust tracking,.

Learning Target-oriented Dual Attention for Robust RGB-T Tracking Discrim- inative spatial attention for robust tracking,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:46:56.088417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a5519cec-310d-453e-9315-13d296f4ef41 · outbound

This paper cites Re- cently, RASNet [17] integrates the spatial attention, channel attention and residual attention to achieve the state-of-the-art tracking accuracy.

Learning Target-oriented Dual Attention for Robust RGB-T Tracking Re- cently, RASNet [17] integrates the spatial attention, channel attention and residual attention to achieve the state-of-the-art tracking accuracy

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:46:56.351100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 29a3435f-8645-4843-9c9a-129b6dc892bb · outbound

This paper cites Deep attentive tracking via recip- rocative learning,.

Learning Target-oriented Dual Attention for Robust RGB-T Tracking Deep attentive tracking via recip- rocative learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:46:56.193632Z

Source-reported events for the cited work

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Observation 1b05b78a-4fa0-4973-b942-9d100f4ea37b · outbound

This paper cites Beyond lo- cal search: Tracking objects everywhere with instance- speciﬁc proposals,.

Learning Target-oriented Dual Attention for Robust RGB-T Tracking Beyond lo- cal search: Tracking objects everywhere with instance- speciﬁc proposals,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:46:56.179745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 702c41a8-786f-4561-86d7-ffaf1bb842b6 · outbound

This paper cites Multiple source data fusion via sparse represen- tation for robust visual tracking,.

Learning Target-oriented Dual Attention for Robust RGB-T Tracking Multiple source data fusion via sparse represen- tation for robust visual tracking,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:46:56.164761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 35b54618-50ba-47b9-beca-6485467f6bfa · outbound

This paper cites Weighted sparse representation regularized graph learning for rgb-t object tracking,.

Learning Target-oriented Dual Attention for Robust RGB-T Tracking Weighted sparse representation regularized graph learning for rgb-t object tracking,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:46:56.150395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9d2ea0ae-4ae7-4ec7-814e-3374bd7ff99f · outbound

This paper cites A neurobiological model of visual attention and invariant pattern recognition based on dynamic routing of infor- mation,.

Learning Target-oriented Dual Attention for Robust RGB-T Tracking A neurobiological model of visual attention and invariant pattern recognition based on dynamic routing of infor- mation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:46:56.135314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 53248d4c-fe79-46dc-85fc-0328272980c9 · outbound

This paper cites Visual object tracking using adaptive cor- relation ﬁlters,.

Learning Target-oriented Dual Attention for Robust RGB-T Tracking Visual object tracking using adaptive cor- relation ﬁlters,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:46:56.119693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 425a6666-93e9-4588-b872-b6387ee5f2f1 · outbound

This paper cites Learning spatially regularized correlation ﬁlters for visual tracking,.

Learning Target-oriented Dual Attention for Robust RGB-T Tracking Learning spatially regularized correlation ﬁlters for visual tracking,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:46:56.104087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9390aaf0-70d9-4b05-a93a-814f83f1f427 · outbound

This paper cites At- tentional correlation ﬁlter network for adaptive visual tracking.,.

Learning Target-oriented Dual Attention for Robust RGB-T Tracking At- tentional correlation ﬁlter network for adaptive visual tracking.,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:46:56.073155Z

Source-reported events for the cited work

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Observation a0e33e60-523c-4095-a352-d1b06692e4d1 · outbound

This paper cites Learning attentions: residual attentional siamese network for high perfor- mance online visual tracking,.

Learning Target-oriented Dual Attention for Robust RGB-T Tracking Learning attentions: residual attentional siamese network for high perfor- mance online visual tracking,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:46:56.057987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 46cde939-cdfc-432f-ba5b-5fa28b1fbb28 · outbound

This paper cites Learning multi- domain convolutional neural networks for visual track- ing,.

Learning Target-oriented Dual Attention for Robust RGB-T Tracking Learning multi- domain convolutional neural networks for visual track- ing,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:46:56.043967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1699ee43-36b1-4bb7-ac3f-7bfc5f23480e · outbound

This paper cites Grayscale-thermal object tracking via mul- titask laplacian sparse representation,.

Learning Target-oriented Dual Attention for Robust RGB-T Tracking Grayscale-thermal object tracking via mul- titask laplacian sparse representation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:46:56.029155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 934e5cf2-e3a3-4036-a9f0-86a6a4d28f6c · outbound

This paper cites Lasot: A high-quality benchmark for large-scale single object tracking,.

Learning Target-oriented Dual Attention for Robust RGB-T Tracking Lasot: A high-quality benchmark for large-scale single object tracking,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:46:56.013415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0f6d6579-7d8e-4a30-b819-0c5a33c5d958 · outbound

This paper cites Real-time mdnet,.

Learning Target-oriented Dual Attention for Robust RGB-T Tracking Real-time mdnet,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:46:55.997710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation 91c2a119-c899-4689-9775-ef479996c90f · inbound