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Paper Citation Record · LEDGER

Learning Dynamic Local Context Representations for Infrared Small Target Detection

As of 21 August 2026, this Paper Citation Record lists 87 of 87 outbound references and 0 inbound Pith citation observations for arXiv:2412.17401.

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

pith.paper-citation-record.v1
2412.17401 v1

Coverage vector

measured 87 of 87 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:31:31.513438Z

measured 87 of 87 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

87 of 87 outbound references displayed

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  • verified fuzzy48
  • unresolved38
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aabfb72e-3f72-4ce9-b037-270dc1a4db47 · outbound

This paper cites A feature enhancement and augmentation-based infrared small target detection network,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection A feature enhancement and augmentation-based infrared small target detection network,

Reference 1

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Observation ee943e35-a98e-444e-b7d5-2d7849ecb4e5 · outbound

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

Learning Dynamic Local Context Representations for Infrared Small Target Detection Single-frame infrared small-target detection: A survey,

Reference 2

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Observation b6d566fc-8c57-4c37-86d0-b3e27a965b05 · outbound

This paper cites Infrared techniques for military applications,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Infrared techniques for military applications,

Reference 3

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Observation 73fe3d16-4b82-4b58-a660-da70082e9385 · outbound

This paper cites Spatial- temporal tensor ring norm regularization for infrared small target detection,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Spatial- temporal tensor ring norm regularization for infrared small target detection,

Reference 4

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Observation 81b19139-7bfd-4169-ba13-e89d1d1adee5 · outbound

This paper cites Pick of the bunch: Detecting infrared small targets beyond hit-miss trade-offs via selective rank-aware attention,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Pick of the bunch: Detecting infrared small targets beyond hit-miss trade-offs via selective rank-aware attention,

Reference 5

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Observation 84defe55-0de5-472c-af9a-456bae8c9c34 · outbound

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

Learning Dynamic Local Context Representations for Infrared Small Target Detection Infrared small and dim target detection with transformer under complex backgrounds,

Reference 6

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Observation 898b6052-9647-475b-be47-077c41283ee1 · outbound

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

Learning Dynamic Local Context Representations for Infrared Small Target Detection Isnet: Shape matters for infrared small target detection,

Reference 7

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Observation 1b867ea8-58b9-4d94-8584-c9abd23f40be · outbound

This paper cites Learning shape-biased representations for infrared small target detection,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Learning shape-biased representations for infrared small target detection,

Reference 8

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Observation a7b00f93-3206-46d1-9cab-7344ed862670 · outbound

This paper cites Learning contrast-enhanced shape-biased representations for infrared small target detection,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Learning contrast-enhanced shape-biased representations for infrared small target detection,

Reference 9

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Observation 4e0a9b54-77d4-4cff-938b-1900732aa6c6 · outbound

This paper cites Local patch network with global attention for infrared small target detection,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Local patch network with global attention for infrared small target detection,

Reference 10

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Observation 7698bf00-b95d-45e5-9e50-dea10ea3de7e · outbound

This paper cites Infrared small target detection with scale and location sensitivity,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Infrared small target detection with scale and location sensitivity,

Reference 11

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Observation 324b277a-6e80-4179-98f5-3233abeea372 · outbound

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

Learning Dynamic Local Context Representations for Infrared Small Target Detection Dense nested attention network for infrared small target detection,

Reference 12

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Observation 5622287c-0f55-40f8-8f13-6b8a7df05c92 · outbound

This paper cites Uiu-net: U-net in u-net for infrared small object detection,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Uiu-net: U-net in u-net for infrared small object detection,

Reference 13

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Observation 6bdf0e45-6a9b-4d7b-9f8c-7ab536a9a8d0 · outbound

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

Learning Dynamic Local Context Representations for Infrared Small Target Detection Attentional local contrast networks for infrared small target detection,

Reference 14

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Observation 1b208326-1f1d-4883-87d3-7d7e7f79108e · outbound

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

Learning Dynamic Local Context Representations for Infrared Small Target Detection Asymmetric contextual modulation for infrared small target detection,

Reference 15

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Observation 5760b026-61cc-425c-929f-9ae06f480a5d · outbound

This paper cites Receptive-field and direction induced attention network for infrared dim small target detection with a large-scale dataset irdst,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Receptive-field and direction induced attention network for infrared dim small target detection with a large-scale dataset irdst,

Reference 16

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Observation 9aec642c-ae8f-4dc0-a3bd-ae34cab6b1e5 · outbound

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

Learning Dynamic Local Context Representations for Infrared Small Target Detection Mtu-net: Multilevel transunet for space-based infrared tiny ship detection,

Reference 17

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Observation d2a9b867-aaee-4906-8377-c84003b787c4 · outbound

This paper cites Abc: Attention with bilinear correlation for infrared small target detection,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Abc: Attention with bilinear correlation for infrared small target detection,

Reference 18

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Observation 8a3665fc-6667-4422-b664-e02d1a6b560c · outbound

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

Learning Dynamic Local Context Representations for Infrared Small Target Detection Sctransnet: Spatial- channel cross transformer network for infrared small target detection,

Reference 19

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Observation 684f1da8-13e2-4fd2-88d2-53df8d435e11 · outbound

This paper cites Irsam: Advancing segment anything model for infrared small target detection,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Irsam: Advancing segment anything model for infrared small target detection,

Reference 20

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Observation 41d3f93d-5d48-4334-9393-066d07b59d84 · outbound

This paper cites Segment anything,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Segment anything,

Reference 21

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Observation a03d8dff-e7ff-4559-8607-31405137c925 · outbound

This paper cites A robust infrared small target detection algorithm based on human visual system,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection A robust infrared small target detection algorithm based on human visual system,

Reference 22

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Observation 442c872f-f4ad-4f39-98de-4b4a0d02c639 · outbound

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

Learning Dynamic Local Context Representations for Infrared Small Target Detection Infrared patch-image model for small target detection in a single image,

Reference 23

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Observation b8cbada7-9187-46a8-a3a1-a49f31c0122c · outbound

This paper cites Understanding the effective receptive field in deep convolutional neural networks,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Understanding the effective receptive field in deep convolutional neural networks,

Reference 24

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Observation a56bf2e7-0381-402d-9a18-0529b8e7f362 · outbound

This paper cites Ode-inspired network design for single image super-resolution,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Ode-inspired network design for single image super-resolution,

Reference 25

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Observation 2dc3979f-65d0-49c3-bc95-b61cbc1cfa28 · outbound

This paper cites Fast multi-grid methods for minimizing curvature energies,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Fast multi-grid methods for minimizing curvature energies,

Reference 26

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Observation b0c21f53-53aa-4ec7-9825-ff1b3081852b · outbound

This paper cites Visual attention network,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Visual attention network,

Reference 27

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Observation ce02ad2c-ee26-4e62-8c53-48122dbf0ce7 · outbound

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

Learning Dynamic Local Context Representations for Infrared Small Target Detection Analysis of new top-hat transformation and the application for infrared dim small target detection,

Reference 28

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Observation 48373d4a-6c8e-4f6b-adb0-08b81605ee8f · outbound

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

Learning Dynamic Local Context Representations for Infrared Small Target Detection Multiscale patch-based contrast measure for small infrared target detection,

Reference 29

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

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Observation 6ca69344-0667-49f1-a180-48d2a6ce4f09 · outbound

This paper cites Small infrared target detection based on weighted local difference measure,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Small infrared target detection based on weighted local difference measure,

Reference 30

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Observation 2efd76fc-2e9b-4b96-b25f-964513f32020 · outbound

This paper cites Infrared small target detection utilizing the multiscale relative local contrast measure,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Infrared small target detection utilizing the multiscale relative local contrast measure,

Reference 31

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Observation a2a896ac-1033-40fc-81fd-1e6cbbaa070e · outbound

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

Learning Dynamic Local Context Representations for Infrared Small Target Detection Infrared small target detection based on facet kernel and random walker,

Reference 32

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Observation 2a0ab83a-9b72-4a21-a4ff-e3bd68826b0a · outbound

This paper cites A local contrast method combined with adaptive background estimation for infrared small target detection,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection A local contrast method combined with adaptive background estimation for infrared small target detection,

Reference 33

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

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Observation dcd695d5-2376-46b1-87c7-0b318a708d02 · outbound

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

Learning Dynamic Local Context Representations for Infrared Small Target Detection Global sparsity- weighted local contrast measure for infrared small target detection,

Reference 34

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

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Observation 97768e15-7dcf-4965-b243-b1d637b8c766 · outbound

This paper cites Non-negative infrared patch-image model: Robust target-background separation via partial sum minimization of singular values,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Non-negative infrared patch-image model: Robust target-background separation via partial sum minimization of singular values,

Reference 35

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

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Observation d4912037-51f4-4492-b0f1-0d2a15fd618f · outbound

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

Learning Dynamic Local Context Representations for Infrared Small Target Detection Reweighted infrared patch-tensor model with both nonlocal and local priors for single-frame small target detection,

Reference 36

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raw_fallback, observed 2026-08-11T05:31:32.763924Z

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.

source=pdf_text observed=2026-08-11T05:31:31.176897Z digest=sha256:1918355ada943a925ab85bdb9baf4da79f55e3f9ce48c18b6b70e330c48da5a2

Observation 9d6e5ff3-ad5c-45f5-b164-07649cb68b48 · outbound

This paper cites Infrared small target detection via non-convex rank approximation minimization joint ℓ2,1 norm,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Infrared small target detection via non-convex rank approximation minimization joint ℓ2,1 norm,

Reference 37

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raw_fallback, observed 2026-08-11T05:31:32.738823Z

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.

source=pdf_text observed=2026-08-11T05:31:31.182632Z digest=sha256:93fedc476ced9a6aeb334dd2aeaa8de99c0797a37ed5936dd0155b90942379b9

Observation ff691fe8-6481-46c5-99b2-ccb554d4f1f0 · outbound

This paper cites Infrared small target detection based on non-convex optimization with lp-norm constraint,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Infrared small target detection based on non-convex optimization with lp-norm constraint,

Reference 38

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raw_fallback, observed 2026-08-11T05:31:32.715891Z

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.

source=pdf_text observed=2026-08-11T05:31:31.188427Z digest=sha256:de206cae2f1ab731c529572f4bc424d502674951355aac8f560c7b78db6d30a2

Observation 5b19aaaf-590e-41d6-9284-d925e1b32677 · outbound

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

Learning Dynamic Local Context Representations for Infrared Small Target Detection Infrared small target detection based on partial sum of the tensor nuclear norm,

Reference 39

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raw_fallback, observed 2026-08-11T05:31:32.684231Z

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.

source=pdf_text observed=2026-08-11T05:31:31.194392Z digest=sha256:80af1db8dac3453941333eb0bf958d082564478df27723a34bd3bda55c4cb4be

Observation 2e109ff7-dd2d-4c5c-9f47-477eb7d76521 · outbound

This paper cites Attention-guided pyramid context networks for detecting infrared small target under complex background,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Attention-guided pyramid context networks for detecting infrared small target under complex background,

Reference 40

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:31:31.204569Z digest=sha256:6ac6a939b55cf1b6bdf99fbeb4a351fec50565bf36748cd6808002192ee0171f

Observation a2874400-5937-4f48-bb33-7c3d63927e67 · outbound

This paper cites ILNet: Low-level Matters for Salient Infrared Small Target Detection.

Learning Dynamic Local Context Representations for Infrared Small Target Detection ILNet: Low-level Matters for Salient Infrared Small Target Detection

Reference 41

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local_arxiv, observed 2026-08-11T05:31:31.649827Z

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.

source=pdf_text observed=2026-08-11T05:31:31.211840Z digest=sha256:1fb62da90c793a027d5901c9bcf73e85f70e9835568e676c866b0f972a0f1e58

Observation 1cbfe466-936d-45ed-8e75-29dbceb36a4c · outbound

This paper cites Are large kernels better teachers than transformers for convnets?.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Are large kernels better teachers than transformers for convnets?

Reference 42

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raw_fallback, observed 2026-08-11T05:31:32.637290Z

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.

source=pdf_text observed=2026-08-11T05:31:31.219248Z digest=sha256:9dd8ff5011f206050da5615be6dedaf1f35807ead4ef6895649b0b1e9bdc79b0

Observation c78dced1-edaa-4156-aea8-6e8c813f7d12 · outbound

This paper cites Rpcanet: Deep unfolding rpca based infrared small target detection,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Rpcanet: Deep unfolding rpca based infrared small target detection,

Reference 43

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raw_fallback, observed 2026-08-11T05:31:32.611498Z

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.

source=pdf_text observed=2026-08-11T05:31:31.225229Z digest=sha256:f356703e48a099e923a35a2b09911c9ae5a63db7ab5465ac85b5f82e5ed4f002

Observation a697d8d3-43ed-4fd0-93c8-06bd793d85b3 · outbound

This paper cites Scaling up your kernels to 31x31: Revisiting large kernel design in cnns,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Scaling up your kernels to 31x31: Revisiting large kernel design in cnns,

Reference 44

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:31:31.231015Z digest=sha256:0e729710fccb1de7e50d5bc8dc06774f7e06927a4e0299e5b851d4c9df28afbb

Observation a102429f-8a9c-45fb-a37b-c2af578053fd · outbound

This paper cites Unireplknet: A universal perception large-kernel convnet for audio video point cloud time-series and image recognition,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Unireplknet: A universal perception large-kernel convnet for audio video point cloud time-series and image recognition,

Reference 45

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raw_fallback, observed 2026-08-11T05:31:32.568406Z

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.

source=pdf_text observed=2026-08-11T05:31:31.237603Z digest=sha256:3c13ba633beb614b49557bedd9237ee2963ff57ca4badaa31687febca647f974

Observation 3a31aacf-ed25-4ad5-9917-97f5be08a884 · outbound

This paper cites Conv2former: A simple transformer-style convnet for visual recognition,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Conv2former: A simple transformer-style convnet for visual recognition,

Reference 46

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T05:31:31.243247Z digest=sha256:fd31e1ab32c9743bdea0ca924720c40966d99facc6947fb179d5bf0de9c0ebc3

Observation 53099406-649f-4d54-a1bb-25943a2869b6 · outbound

This paper cites Moganet: Multi-order gated aggregation network,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Moganet: Multi-order gated aggregation network,

Reference 47

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:31:31.251309Z digest=sha256:76bd3c26f0f102bebb154bbc0a503f6772408dc312eebddbe310f27cf0066e49

Observation ec48f490-ef13-4e1a-9c15-5509c17c945e · outbound

This paper cites Wavelet convolutions for large receptive fields,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Wavelet convolutions for large receptive fields,

Reference 48

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raw_fallback, observed 2026-08-11T05:31:32.520927Z

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.

source=pdf_text observed=2026-08-11T05:31:31.257541Z digest=sha256:fddc1e9b1df56173c3004217e1e26a29e60268027c134bd810d3ffbb908b9b1f

Observation 1f401469-ad2c-4b45-95c7-e43a7562f40f · outbound

This paper cites Large separable kernel attention: Rethinking the large kernel attention design in cnn,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Large separable kernel attention: Rethinking the large kernel attention design in cnn,

Reference 49

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source=pdf_text observed=2026-08-11T05:31:31.263236Z digest=sha256:7f4dd309a8c4d06dd067bd60944094efff4acba93fec1f0d97a9cb91275c0aa3

Observation 6cff0842-28f2-4db4-8e00-c443d511e523 · outbound

This paper cites Pelk: Parameter- efficient large kernel convnets with peripheral convolution,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Pelk: Parameter- efficient large kernel convnets with peripheral convolution,

Reference 50

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:31:31.269031Z digest=sha256:7321bdffd43c8099e7fe83c4633e4c23e8674abcb61e792d9b1b4b8c1c7aed4a

Observation c0a2d5a3-2bbd-4572-b2d8-50cb4ad4ee33 · outbound

This paper cites Segnext: Rethinking convolutional attention design for semantic segmentation,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Segnext: Rethinking convolutional attention design for semantic segmentation,

Reference 51

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raw_fallback, observed 2026-08-11T05:31:32.465218Z

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.

source=pdf_text observed=2026-08-11T05:31:31.275385Z digest=sha256:ba260717603f7e74a2d3a55f165c9f6f5d9f8ff6f63b819fee3e293c5b4c5d92

Observation d9554a05-2122-4b87-ab20-e47bd622b2ff · outbound

This paper cites Lsknet: A foundation lightweight backbone for remote sensing,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Lsknet: A foundation lightweight backbone for remote sensing,

Reference 52

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raw_fallback, observed 2026-08-11T05:31:32.441973Z

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.

source=pdf_text observed=2026-08-11T05:31:31.281299Z digest=sha256:6d8a0f1de8b7d1a340b495cf3e5983277abf2600e73b0f6dc012f44d9ffb8945

Observation fc0d4f9c-d46f-4c6a-b81b-6cd45264933a · outbound

This paper cites Large selective kernel network for remote sensing object detection,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Large selective kernel network for remote sensing object detection,

Reference 53

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raw_fallback, observed 2026-08-11T05:31:32.415926Z

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.

source=pdf_text observed=2026-08-11T05:31:31.288078Z digest=sha256:ba342c0cb91a483d2bddb692b2286ffbb0a0ab2bd670f1eb7fc93c4af2b32297

Observation 1bc31f70-22af-45fd-ac21-ee96ad6759dd · outbound

This paper cites Beyond self-attention: Deformable large kernel attention for medical image segmentation,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Beyond self-attention: Deformable large kernel attention for medical image segmentation,

Reference 54

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raw_fallback, observed 2026-08-11T05:31:32.388346Z

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.

source=pdf_text observed=2026-08-11T05:31:31.295431Z digest=sha256:4d8aed23bd8362c394c6b3816f75287a47d79aebe1a41393a1205f0d6ec7ad2e

Observation dd9e3dfa-188e-4296-9efe-5e3e6bcda2a3 · outbound

This paper cites Hornet: Efficient high-order spatial interactions with recursive gated convolutions,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Hornet: Efficient high-order spatial interactions with recursive gated convolutions,

Reference 55

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verified fuzzy
raw_fallback, observed 2026-08-11T05:31:32.358593Z

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.

source=pdf_text observed=2026-08-11T05:31:31.301495Z digest=sha256:c88e9939d586d766e29552c8eae9386cf8cd8839c1d796e2b276be17ae705b6e

Observation b8245495-1609-4690-a5dd-670288e8b1a2 · outbound

This paper cites Denoising diffusion probabilistic models,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Denoising diffusion probabilistic models,

Reference 56

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T05:31:31.308148Z digest=sha256:178e3b37d2422ebe7d21134361d022139d93b8052c862b46e21e1042c7e1ca34

Observation 46d7a43b-d804-41fc-83d7-ec2ef809a4e0 · outbound

This paper cites Improved denoising diffusion probabilistic models,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Improved denoising diffusion probabilistic models,

Reference 57

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T05:31:31.319727Z digest=sha256:e35ccdf8efbcf6308446f15d03035a01fbad2747516cfaa3d45bf94447e15ece

Observation 2f7221b1-c15f-4e7a-b426-1c2ba12503ff · outbound

This paper cites Repaint: Inpainting using denoising diffusion probabilistic models,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Repaint: Inpainting using denoising diffusion probabilistic models,

Reference 58

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:31:31.325162Z digest=sha256:d5be12dd18a04c9072c17e710d90e8a9732e71038a2e1a5fb9a6fff86c613bac

Observation 18d98a73-27f2-416e-b0b7-7e1316657f3a · outbound

This paper cites Metaformer is actually what you need for vision,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Metaformer is actually what you need for vision,

Reference 59

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:31:31.334542Z digest=sha256:a57c37faaa9cab6b2a535c3d924ff1c3949a972837582e8e1e157388d0cc1779

Observation 71532625-c156-46ff-82df-a13466c60b13 · outbound

This paper cites Metaformer baselines for vision,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Metaformer baselines for vision,

Reference 60

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raw_fallback, observed 2026-08-11T05:31:32.251224Z

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.

source=pdf_text observed=2026-08-11T05:31:31.340655Z digest=sha256:1858d27aa02c3de25c2df3cb09379a8f56941787b33452ddd18355ced2e5935c

Observation 6bf9ad2e-2667-4554-8450-1ce849f4f114 · outbound

This paper cites Transnext: Robust foveal visual perception for vision transform- ers,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Transnext: Robust foveal visual perception for vision transform- ers,

Reference 61

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verified fuzzy
raw_fallback, observed 2026-08-11T05:31:32.229195Z

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.

source=pdf_text observed=2026-08-11T05:31:31.347759Z digest=sha256:022fbd9b89123c902625fb5f89fc1f9e9d9c8de3effdf910ab5d811f197a5d42

Observation ef5b24e2-39f8-4638-82c4-fb23fb00c516 · outbound

This paper cites Cspn: A category- specific processing network for low-light image enhancement,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Cspn: A category- specific processing network for low-light image enhancement,

Reference 62

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raw_fallback, observed 2026-08-11T05:31:32.206263Z

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.

source=pdf_text observed=2026-08-11T05:31:31.353185Z digest=sha256:6aed63f744ab85e7fdb5fa947668c5d28c66c5d4279e75dd8ef963ab6d8fe372

Observation 39d07965-dcf0-4bf1-a4e3-a0c3d4809996 · outbound

This paper cites Revisiting residual networks for adversarial robustness,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Revisiting residual networks for adversarial robustness,

Reference 63

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raw_fallback, observed 2026-08-11T05:31:32.161020Z

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.

source=pdf_text observed=2026-08-11T05:31:31.359474Z digest=sha256:ddb03e5610d269f55b75f4d1477140fee2e99bb9422f6f9bdfc97bafa6c9ba35

Observation e2624938-67d6-4b1a-9ecb-cd57142ad0f7 · outbound

This paper cites Mgnet: A unified framework of multigrid and convolutional neural network,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Mgnet: A unified framework of multigrid and convolutional neural network,

Reference 64

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raw_fallback, observed 2026-08-11T05:31:32.120242Z

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.

source=pdf_text observed=2026-08-11T05:31:31.365546Z digest=sha256:93c6c682f6f75261e7f34d94be47a440d675eadb8c8ccbc224cfde09c8dfef06

Observation 4f2d7331-bce1-4556-af52-1d3b0b31885b · outbound

This paper cites Group normalization,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Group normalization,

Reference 65

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:31:31.371183Z digest=sha256:a048105f8504c8440d930e901005e362c55ed06347f3acdd21c6f5956feb1619

Observation 880bd06f-937b-43e1-aa7d-1ed11eb60687 · outbound

This paper cites Going deeper with image transformers,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Going deeper with image transformers,

Reference 66

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raw_fallback, observed 2026-08-11T05:31:32.077076Z

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.

source=pdf_text observed=2026-08-11T05:31:31.377475Z digest=sha256:1196d6e466e1a4c614db4b1f2c77940612846d34ac65a046f179c32ab30a0005

Observation 19e29fc7-5a38-4731-aed9-e8d7dc35cf3d · outbound

This paper cites Segformer: Simple and efficient design for semantic segmentation with transformers,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Segformer: Simple and efficient design for semantic segmentation with transformers,

Reference 67

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raw_fallback, observed 2026-08-11T05:31:32.055430Z

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.

source=pdf_text observed=2026-08-11T05:31:31.382813Z digest=sha256:ef9a984ea463b816e3d45b2140ab71dce6e73d4367dbebd44c95c8c4f1a645d8

Observation 53b7dbdc-5132-46e5-99e5-8ebfd9addd15 · outbound

This paper cites Pyramid vision transformer: A versatile backbone for dense prediction without convolutions,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Pyramid vision transformer: A versatile backbone for dense prediction without convolutions,

Reference 68

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:31:31.389322Z digest=sha256:19846d82f1b7e3de7969257f3ac8552626dd7f40c8cd8864195411bf7297aaa9

Observation f1269738-6e7f-48c4-a87d-7d7a6c798762 · outbound

This paper cites Deep residual learning for image recognition,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Deep residual learning for image recognition,

Reference 69

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:31:31.395966Z digest=sha256:231a06828a9ccaac0e9377f86706b8a7dbc85e7321aee046746e4eb78b4f83be

Observation 444f08a3-f80b-4027-9cca-b442123e4a58 · outbound

This paper cites Resnest: Split-attention networks,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Resnest: Split-attention networks,

Reference 70

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raw_fallback, observed 2026-08-11T05:31:31.986139Z

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.

source=pdf_text observed=2026-08-11T05:31:31.403549Z digest=sha256:e4c8c2a620ff60b8fcd505db81d53bb1ea6b42e341bfeb3b00dd4107e589e10c

Observation 4e8a0cc1-dd4b-4ea3-8c42-4a688c50cc4d · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Learning Dynamic Local Context Representations for Infrared Small Target Detection Gaussian Error Linear Units (GELUs)

Reference 71

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:31:31.412433Z digest=sha256:eec8ea68dc5af19274c530a4c69fc7268440701ccca0024db42ce7e11a3879fa

Observation 7f7dc757-6c39-440b-b69e-29e59620a777 · outbound

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

Learning Dynamic Local Context Representations for Infrared Small Target Detection Run, don’t walk: chasing higher flops for faster neural networks,

Reference 72

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:31:31.420535Z digest=sha256:628b5858daef20ccdf85b16b2e3ac8ec5927f57932941752263b0b2a1cd528cf

Observation 8d333f21-17e6-4bc2-bc71-e2e44b8d34b0 · outbound

This paper cites Selective kernel networks,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Selective kernel networks,

Reference 73

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Source-reported events for the cited work

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Observation b20507c7-dd26-4798-81cd-e87358868a11 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Distilling the Knowledge in a Neural Network

Reference 74

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Observation bbc3b81d-6122-4ffa-abdc-5b41d5259dd4 · outbound

This paper cites Eviprompt: A training-free evidential prompt generation method for adapting segment anything model in medical images,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Eviprompt: A training-free evidential prompt generation method for adapting segment anything model in medical images,

Reference 75

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verified fuzzy
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Observation 9c3f13dd-f580-4a02-9359-55bcb7bacdd6 · outbound

This paper cites Rewrite the stars,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Rewrite the stars,

Reference 76

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

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Observation 5f5eac89-6d1a-44f9-b087-b035f495035b · outbound

This paper cites Multi-scale attention network for single image super-resolution,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Multi-scale attention network for single image super-resolution,

Reference 77

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Observation d73dfa8d-e712-4a09-880b-0fd4d3d325b4 · outbound

This paper cites Mrf3net: An infrared small target detection network using multireceptive field perception and effective feature fusion,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Mrf3net: An infrared small target detection network using multireceptive field perception and effective feature fusion,

Reference 78

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Observation 7ec3e647-d438-4a20-8edb-bc7210be13b9 · outbound

This paper cites Revealing the dark secrets of masked image modeling,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Revealing the dark secrets of masked image modeling,

Reference 79

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

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Observation 952a110c-55f0-4ef7-9429-91322a4939db · outbound

This paper cites Batching soft iou for training semantic segmentation networks,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Batching soft iou for training semantic segmentation networks,

Reference 80

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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.

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Observation 47e911cf-e640-49d2-95b5-1257b9c84366 · outbound

This paper cites Boundary iou: Improving object-centric image segmentation evaluation,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Boundary iou: Improving object-centric image segmentation evaluation,

Reference 81

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verified fuzzy
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Source-reported events for the cited work

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Observation 31a648de-b10d-4df1-8f24-68d37865f8b9 · outbound

This paper cites Adan: Adaptive nesterov momentum algorithm for faster optimizing deep models,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Adan: Adaptive nesterov momentum algorithm for faster optimizing deep models,

Reference 82

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verified fuzzy
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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.

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Observation 9d600363-c3b3-4ae8-8983-f93971aac8d4 · outbound

This paper cites Miss detection vs. false alarm: Adversarial learning for small object segmentation in infrared images,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Miss detection vs. false alarm: Adversarial learning for small object segmentation in infrared images,

Reference 83

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Observation 52ef3ae2-91a2-4087-92ed-5a92b92f48f4 · outbound

This paper cites Exploring feature compensation and cross-level correlation for infrared small target detection,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Exploring feature compensation and cross-level correlation for infrared small target detection,

Reference 84

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verified fuzzy
raw_fallback, observed 2026-08-11T05:31:31.706193Z

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.

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Observation 0f18691e-efbc-4295-a40f-fdc5f6697362 · outbound

This paper cites A convnet for the 2020s,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection A convnet for the 2020s,

Reference 85

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Observation 717c95a1-4c98-4ab5-b7bc-a6cac04c59d2 · outbound

This paper cites NormFormer: Improved Transformer Pretraining with Extra Normalization.

Learning Dynamic Local Context Representations for Infrared Small Target Detection NormFormer: Improved Transformer Pretraining with Extra Normalization

Reference 86

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Observation 34b9c696-d49a-4a4c-a371-3848431c7dc2 · outbound

This paper cites Shufflenet v2: Practical guidelines for efficient cnn architecture design,.

Learning Dynamic Local Context Representations for Infrared Small Target Detection Shufflenet v2: Practical guidelines for efficient cnn architecture design,

Reference 87

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Pith citing papers

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