Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead | Paper Citation Record

Observation ca2e29ac-6956-4573-a06d-defdc69c2c7f · outbound

This paper cites Mtu-net: Multilevel transunet for space-based infrared tiny ship detection,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Mtu-net: Multilevel transunet for space-based infrared tiny ship detection,

Reference 1

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Observation afea34f7-4f98-418d-8270-58d24c06e8fb · outbound

This paper cites Smpisd-mtpnet: Scene semantic prior- assisted infrared ship detection using multi-task perception networks,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Smpisd-mtpnet: Scene semantic prior- assisted infrared ship detection using multi-task perception networks,

Reference 2

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Observation 4f279c0d-d3a4-4369-bab9-e36a9ea02fb7 · outbound

This paper cites Small infrared target detection based on weighted local differ- ence measure,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Small infrared target detection based on weighted local differ- ence measure,

Reference 3

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Observation 101b50e0-399d-4b50-b9bc-23f6a60a0673 · outbound

This paper cites Infrared sensors for ballistic missile defense,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Infrared sensors for ballistic missile defense,

Reference 4

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Observation ce5a455c-1b7a-4fad-b6c8-36d772769cd9 · outbound

This paper cites Infrared thermography for condition monitoring–a review,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Infrared thermography for condition monitoring–a review,

Reference 5

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Observation e79d015f-2dd8-4427-9269-55162e863e79 · outbound

This paper cites Infrared small target segmentation networks: A survey,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Infrared small target segmentation networks: A survey,

Reference 6

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Observation 840c8f85-0b7f-43e6-a4c1-591f4b00956a · outbound

This paper cites Towards accurate infrared small target detection via edge- aware gated transformer,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Towards accurate infrared small target detection via edge- aware gated transformer,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:04:07.367367Z

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Observation b99fc313-adb0-477b-8486-feb4d5e91720 · outbound

This paper cites ISNET: Shape matters for infrared small target detection,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead ISNET: Shape matters for infrared small target detection,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:04:07.354649Z

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Observation 6c3f024e-c283-4c33-b546-184ae05f5d36 · outbound

This paper cites Gradient is all you need: Gradient-based attention fusion for infrared small target detection,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Gradient is all you need: Gradient-based attention fusion for infrared small target detection,

Reference 9

Resolution: verified exact; raw_fallback, observed 2026-08-16T05:04:06.870327Z

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Observation 41a51c02-7713-45da-a87c-c0384f0650ae · outbound

This paper cites Feature Gradients: Scalable Feature Selection via Discrete Relaxation.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Feature Gradients: Scalable Feature Selection via Discrete Relaxation

Reference 10

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Observation bc324f26-df44-4ef5-85b7-98abd0bc8ce5 · outbound

This paper cites M4net: Multi-level multi-patch multi-receptive multi-dimensional attention network for infrared small target detection,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead M4net: Multi-level multi-patch multi-receptive multi-dimensional attention network for infrared small target detection,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:04:07.342043Z

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Observation 2072fef9-c9ca-4581-8f87-67f4a9f3f417 · outbound

This paper cites Attentional local contrast networks for infrared small target detection,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Attentional local contrast networks for infrared small target detection,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:04:07.331201Z

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Observation dc190919-2e13-4561-8664-1441f234e82a · outbound

This paper cites A local contrast method for small infrared target detection,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead A local contrast method for small infrared target detection,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:04:07.319093Z

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Observation 814cbd5b-92eb-449c-bb40-cfb1d2c8206e · outbound

This paper cites Hierarchical attention-guided multiscale aggregation net- 13 work for infrared small target detection,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Hierarchical attention-guided multiscale aggregation net- 13 work for infrared small target detection,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:04:07.305088Z

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Observation 04cbebde-5979-4dfc-b0ff-8075d050a1a7 · outbound

This paper cites Single- frame infrared small-target detection: A survey,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Single- frame infrared small-target detection: A survey,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:04:07.291352Z

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Observation 054af428-f568-466b-8c39-a0a1942cf585 · outbound

This paper cites One-stage cascade refinement networks for infrared small target detection,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead One-stage cascade refinement networks for infrared small target detection,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:04:07.277761Z

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Observation 210a7475-4565-4843-85c5-76f0bfc5c486 · outbound

This paper cites Yolo-sdluwd: Yolov7- based small target detection network for infrared images in complex backgrounds,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Yolo-sdluwd: Yolov7- based small target detection network for infrared images in complex backgrounds,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:04:07.263586Z

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Observation 9611164b-0e9b-4ce5-be43-d1ad961ab2e0 · outbound

This paper cites Attention is all you need,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Attention is all you need,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:04:07.249721Z

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Observation d1dab308-5358-49a6-a464-7b3bfdb044ae · outbound

This paper cites Eflnet: Enhancing feature learning network for infrared small target detection,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Eflnet: Enhancing feature learning network for infrared small target detection,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:04:07.237610Z

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Observation d804936c-b6a0-4df1-8e41-84e13ab1f0b1 · outbound

This paper cites Max-mean and max-median filters for detection of small targets,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Max-mean and max-median filters for detection of small targets,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:04:07.226836Z

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Observation 20fa316f-e684-403d-93e7-882079d82e4e · outbound

This paper cites Analysis of new top-hat transfor- mation and the application for infrared dim small target detection,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Analysis of new top-hat transfor- mation and the application for infrared dim small target detection,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:04:07.216139Z

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Observation 26691b03-ac9b-4d68-9533-c3b37e881dfe · outbound

This paper cites Infrared small and dim target detection with transformer under complex backgrounds,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Infrared small and dim target detection with transformer under complex backgrounds,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:04:07.205501Z

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Observation 5c08f4c8-9737-4bcd-b34c-c3ebe63a7bb1 · outbound

This paper cites Infrared small target detection based on the weighted strengthened local contrast measure,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Infrared small target detection based on the weighted strengthened local contrast measure,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:04:07.192793Z

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Observation af9c854f-a0f2-4d91-a7a3-d02aeacf34ac · outbound

This paper cites A local contrast method for infrared small-target detection utilizing a tri-layer window,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead A local contrast method for infrared small-target detection utilizing a tri-layer window,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:04:07.174037Z

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Observation 94a5cd68-773e-4997-b39d-6b606bc273d6 · outbound

This paper cites Infrared small target detection by density peaks searching and maximum-gray region growing,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Infrared small target detection by density peaks searching and maximum-gray region growing,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:04:07.160415Z

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Observation 22c0e1a0-50a4-471e-ae06-defccead2f95 · outbound

This paper cites Reweighted infrared patch-tensor model with both nonlocal and local priors for single- frame small target detection,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Reweighted infrared patch-tensor model with both nonlocal and local priors for single- frame small target detection,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:04:07.147422Z

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Observation 5c0de8b6-b3a1-4159-95f5-44efeafbbab8 · outbound

This paper cites Towards robust infrared small target detection via frequency and spatial feature fusion,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Towards robust infrared small target detection via frequency and spatial feature fusion,

Reference 27

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Observation 8e6f63f8-6c6b-41a3-9b33-bce7d5b541e4 · outbound

This paper cites Dnanet: Dense nested attention network for single image dehazing,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Dnanet: Dense nested attention network for single image dehazing,

Reference 28

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Observation d1626a38-6cf6-449c-8f35-556ed605c1d6 · outbound

This paper cites ACM-Net: Action Context Modeling Network for Weakly-Supervised Temporal Action Localization.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead ACM-Net: Action Context Modeling Network for Weakly-Supervised Temporal Action Localization

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-16T05:04:06.773126Z

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Observation dbfb84a2-e36a-4f1f-a78b-ace971ce5296 · outbound

This paper cites Background semantics matter: Cross-task feature exchange network for clustered infrared small target detection with sky-annotated dataset,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Background semantics matter: Cross-task feature exchange network for clustered infrared small target detection with sky-annotated dataset,

Reference 30

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Observation 301ef8e5-3d42-4145-9a25-fee1e5c15e5e · outbound

This paper cites Focal loss for dense object detection,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Focal loss for dense object detection,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:04:07.105393Z

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Observation 58a7f867-a1d1-4bfa-b9ea-245e89a13e6c · outbound

This paper cites Cbam: Convolutional block attention module,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Cbam: Convolutional block attention module,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:04:07.089334Z

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Observation 80958e38-ce61-4113-826c-58a03de0af18 · outbound

This paper cites Run, don’t walk: chasing higher flops for faster neural networks,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Run, don’t walk: chasing higher flops for faster neural networks,

Reference 33

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Observation 1044ae9f-c28b-4b2a-9e4b-3c5000e3e5e7 · outbound

This paper cites Ldconv: Linear deformable convolution for improving convolutional neural networks,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Ldconv: Linear deformable convolution for improving convolutional neural networks,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:04:07.063144Z

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Observation f61b621a-84cf-4617-bf05-cab4b412f79e · outbound

This paper cites Dense nested attention network for infrared small target detection,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Dense nested attention network for infrared small target detection,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:04:07.051146Z

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Observation b1d8c38d-2963-4cf9-93da-3454a7079b40 · outbound

This paper cites Asymmetric contextual modulation for infrared small target detection,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Asymmetric contextual modulation for infrared small target detection,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:04:07.040131Z

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Observation 45f274cf-69d2-4dd0-bac8-253072edc252 · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Grad-cam: Visual explanations from deep networks via gradient-based localization,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:04:07.029620Z

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Observation 5af86365-b59e-4595-8b40-4edf94c7c8f6 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Adam: A Method for Stochastic Optimization

Reference 38

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Observation 52f10c7a-a6dd-4abb-8806-6082bf3fdd65 · outbound

This paper cites Infrared small target detection based on facet kernel and random walker,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Infrared small target detection based on facet kernel and random walker,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:04:07.018466Z

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Observation 4ada5a04-698b-4758-8002-ae0bf5ccd51e · outbound

This paper cites Multiscale patch-based contrast measure for small infrared target detection,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Multiscale patch-based contrast measure for small infrared target detection,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:04:07.001829Z

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Observation 21cce96b-f134-4b77-8c73-52472aee37e2 · outbound

This paper cites Infrared patch-image model for small target detection in a single image,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Infrared patch-image model for small target detection in a single image,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:04:06.984746Z

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Observation 16a052d4-e2f6-4fb3-b674-a5231d447f56 · outbound

This paper cites AGPCNet: Attention-Guided Pyramid Context Networks for Infrared Small Target Detection.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead AGPCNet: Attention-Guided Pyramid Context Networks for Infrared Small Target Detection

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-16T05:04:06.493368Z

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Observation b627b90e-cf2b-4047-890a-2eae49d21821 · outbound

This paper cites Sctransnet: Spatial-channel cross transformer network for infrared small target detection,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Sctransnet: Spatial-channel cross transformer network for infrared small target detection,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:04:06.969748Z

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Observation a1a8abca-d428-4e4c-93f3-3bc04bb79eda · outbound

This paper cites Rich feature hierarchies for accurate object detection and semantic segmentation,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Rich feature hierarchies for accurate object detection and semantic segmentation,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:04:06.954191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b433fbbd-46f8-4efd-8148-360b73910d8a · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Faster r-cnn: Towards real-time object detection with region proposal networks,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:04:06.941025Z

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Observation 563bace8-d36f-460d-bda7-91d5e1d2600f · outbound

This paper cites Amflw-yolo: A lightweight network for remote sensing image detection based on attention mechanism and multi-scale feature fusion,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Amflw-yolo: A lightweight network for remote sensing image detection based on attention mechanism and multi-scale feature fusion,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:04:06.925973Z

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Observation d1a3ee2d-2eca-4e17-94cf-b26df2668180 · outbound

This paper cites Det-yolo: An innovative high- performance model for detecting military aircraft in remote sensing images,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Det-yolo: An innovative high- performance model for detecting military aircraft in remote sensing images,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:04:06.911800Z

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Observation d2da25a6-5dd3-498b-aa80-8117de38f998 · outbound

This paper cites Global sparsity-weighted local contrast measure for infrared small target detection,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Global sparsity-weighted local contrast measure for infrared small target detection,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:04:06.897831Z

Source-reported events for the cited work

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Observation 0c320817-e81d-4656-9f8a-877667987813 · outbound

This paper cites Infrared small target detection based on partial sum of the tensor nuclear norm,.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Infrared small target detection based on partial sum of the tensor nuclear norm,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:04:06.883272Z

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