Paper Citation Record · LEDGER

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection

As of 11 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 1 inbound Pith citation observation for arXiv:2507.12017.

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

pith.paper-citation-record.v1
2507.12017 v1

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:01:43.657035Z

measured 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T10:53:36.309700Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T08:17:45.231805Z

Reference resolution

66 of 66 outbound references displayed

verified exact6
verified fuzzy47
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d281c9fb-937e-4e0e-9950-d26917ca7bc9 · outbound

This paper cites Human detection in aerial thermal images using faster r-cnn and ssd algorithms.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Human detection in aerial thermal images using faster r-cnn and ssd algorithms

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:53.136409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 00cd0fe5-259e-4450-8e3e-55ad15f1e8e0 · outbound

This paper cites FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T17:01:38.648973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6417a5ac-5d15-4edb-b76b-cf0b9b1c9cae · outbound

This paper cites Heisen- berg’s uncertainty principle.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Heisen- berg’s uncertainty principle

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:52.925297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b80bb6ae-3e9e-4769-889f-cd73ac034732 · outbound

This paper cites Exploring object relation in mean teacher for cross-domain detection.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Exploring object relation in mean teacher for cross-domain detection

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:52.739463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6af22a26-25eb-44ae-a589-dcb361868e0a · outbound

This paper cites Contrastive mean teacher for domain adaptive ob- ject detectors.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Contrastive mean teacher for domain adaptive ob- ject detectors

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:52.570844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 98d9fb8c-d8ad-4e7a-99e3-c4d1e73e6da4 · outbound

This paper cites End-to- end object detection with transformers.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection End-to- end object detection with transformers

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T17:01:38.926755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d0a13f9-dab8-4628-84bd-a5dd9dc3c45e · outbound

This paper cites Label matching semi-supervised object detection.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Label matching semi-supervised object detection

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:52.229886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5f3f0280-7429-42e5-9d2f-bd89ab8f5223 · outbound

This paper cites Cross Domain Object Detection via Multi-Granularity Confidence Alignment based Mean Teacher.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Cross Domain Object Detection via Multi-Granularity Confidence Alignment based Mean Teacher

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:01:45.152096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0ef066dd-c4e5-497b-bdf3-2fbbe711da28 · outbound

This paper cites Datr: Unsu- pervised domain adaptive detection transformer with dataset- level adaptation and prototypical alignment.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Datr: Unsu- pervised domain adaptive detection transformer with dataset- level adaptation and prototypical alignment

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:52.113544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b97d6e5b-66b7-4a0e-ba76-c9c0226c99e9 · outbound

This paper cites Neural feature search for rgb-infrared per- son re-identification.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Neural feature search for rgb-infrared per- son re-identification

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:51.966739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b4a6d080-f656-41b0-95b3-1e319bb53ea7 · outbound

This paper cites Mixed Pseudo Labels for Semi-Supervised Object Detection.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Mixed Pseudo Labels for Semi-Supervised Object Detection

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T17:01:39.269124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c9877ea-a652-440b-8796-c13a05a29650 · outbound

This paper cites Every pixel matters: Center-aware feature alignment for domain adaptive object detector.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Every pixel matters: Center-aware feature alignment for domain adaptive object detector

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:51.805905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dc471b7e-794f-4b5a-8605-ec0224cb0f6f · outbound

This paper cites Xception: Deep learning with depthwise separable convolutions.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Xception: Deep learning with depthwise separable convolutions

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:51.666013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 34c045f2-4917-4fb8-8bd7-94496de67810 · outbound

This paper cites DenoDet: Attention as Deformable Multi-Subspace Feature Denoising for Target Detection in SAR Images.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection DenoDet: Attention as Deformable Multi-Subspace Feature Denoising for Target Detection in SAR Images

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:01:44.956531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3fe9f5cf-2166-42ea-9013-637cbbdc8c68 · outbound

This paper cites Saquib Sarfraz, and Mohsen Ali.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Saquib Sarfraz, and Mohsen Ali

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:51.483937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 10588c55-6d36-4490-929c-678806bf9f5c · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Imagenet: A large-scale hierarchical image database

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T17:01:39.576586Z

Source-reported events for the cited work

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Observation c2a087b4-67c6-4480-a59e-43c5726cb534 · outbound

This paper cites Un- biased mean teacher for cross-domain object detection.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Un- biased mean teacher for cross-domain object detection

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:51.335381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4dee615c-df0c-43b4-9872-e3958c44118f · outbound

This paper cites Harmo- nious teacher for cross-domain object detection.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Harmo- nious teacher for cross-domain object detection

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:51.158301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 177be704-e7e6-4407-8eaf-eddf1788d47b · outbound

This paper cites D3t: Distinctive dual-domain teacher zigzagging across rgb- thermal gap for domain-adaptive object detection.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection D3t: Distinctive dual-domain teacher zigzagging across rgb- thermal gap for domain-adaptive object detection

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:50.978270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4fcc3b4d-89a2-46a4-aba4-d1760bc20279 · outbound

This paper cites Robust mean teacher for continual and gradual test-time adaptation.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Robust mean teacher for continual and gradual test-time adaptation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:50.768024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 24d7f254-2fa5-4081-98a1-246a1c3ba475 · outbound

This paper cites The pascal visual object classes challenge: A retrospective.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection The pascal visual object classes challenge: A retrospective

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:50.576156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 974ce207-0d07-46e9-8b8e-292cd84a898b · outbound

This paper cites Object detection in thermal spectrum for advanced driver-assistance systems (adas).

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Object detection in thermal spectrum for advanced driver-assistance systems (adas)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:50.370228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 146894ad-2a78-48a4-9714-17524d93dcc4 · outbound

This paper cites DSD-DA: Distillation-based Source Debiasing for Domain Adaptive Object Detection.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection DSD-DA: Distillation-based Source Debiasing for Domain Adaptive Object Detection

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:01:44.756785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3cbbdfc9-9418-4671-9686-03f18f777ce7 · outbound

This paper cites Flir thermal dataset for algorithm training.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Flir thermal dataset for algorithm training

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:50.189257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 99f3cc05-8a8e-4907-bd5a-ba23e101f02b · outbound

This paper cites Ir reasoner: Real-time infrared object de- tection by visual reasoning.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Ir reasoner: Real-time infrared object de- tection by visual reasoning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:50.020489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8b4e2b7f-56cf-4bf9-929f-e80b8f85c45b · outbound

This paper cites Hahs-Vaughn.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Hahs-Vaughn

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:49.827149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bf20d45f-ed51-46a2-87d5-641aadae1e33 · outbound

This paper cites Remote sensing teacher: Cross-domain detec- tion transformer with learnable frequency-enhanced feature alignment in remote sensing imagery.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Remote sensing teacher: Cross-domain detec- tion transformer with learnable frequency-enhanced feature alignment in remote sensing imagery

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:49.568702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 406523ee-3738-4bbf-b3e8-0ace63c4cc3d · outbound

This paper cites Simplifying source- free domain adaptation for object detection: Effective self- training strategies and performance insights.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Simplifying source- free domain adaptation for object detection: Effective self- training strategies and performance insights

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:49.378415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1ef6e6db-102b-47bb-9949-49c0b81dee4a · outbound

This paper cites Dif- fusion domain teacher: Diffusion guided domain adaptive object detector.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Dif- fusion domain teacher: Diffusion guided domain adaptive object detector

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:49.120927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a7f0174a-117a-403d-a1b7-63e24645644d · outbound

This paper cites Deep residual learning for image recognition.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Deep residual learning for image recognition

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T17:01:40.464433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed0f4102-419e-4c80-9517-6443ff335e93 · outbound

This paper cites Bidirectional alignment for do- main adaptive detection with transformers.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Bidirectional alignment for do- main adaptive detection with transformers

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:48.975689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d70a07f0-a28d-4546-926b-ae34fb0f1950 · outbound

This paper cites Ccnet: Criss-cross attention for semantic segmentation.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Ccnet: Criss-cross attention for semantic segmentation

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:48.783837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 29a1ef56-db43-4ced-ae2d-b97b57f0864f · outbound

This paper cites The exponentially weighted moving aver- age.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection The exponentially weighted moving aver- age

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:48.629947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation aa6e2b64-3e77-4d63-845a-ddc048fd7289 · outbound

This paper cites Dynamic retraining-updating mean teacher for source-free object de- tection.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Dynamic retraining-updating mean teacher for source-free object de- tection

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:48.532470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 97268602-8021-4e58-9783-8da747d711fe · outbound

This paper cites Openimages: A public dataset for large-scale multi-label and multi-class im- age classification.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Openimages: A public dataset for large-scale multi-label and multi-class im- age classification

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:48.427159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5b80c052-1f81-4ae2-9bd1-9c9a6de2bb63 · outbound

This paper cites Sampling, data transmission, and the nyquist rate.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Sampling, data transmission, and the nyquist rate

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:48.326979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 963ea738-03f5-4cf0-9c4a-95900d1a43cb · outbound

This paper cites Dn-detr: Accelerate detr training by intro- ducing query denoising.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Dn-detr: Accelerate detr training by intro- ducing query denoising

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T17:01:41.032592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52b61349-704f-4a50-aa82-49c0c88de33a · outbound

This paper cites Improving cross-domain detection with self- supervised learning.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Improving cross-domain detection with self- supervised learning

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:48.179128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2e37ca9a-42bf-4a50-9c8a-87793b8144c9 · outbound

This paper cites Sigma: Semantic- complete graph matching for domain adaptive object de- tection.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Sigma: Semantic- complete graph matching for domain adaptive object de- tection

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T17:01:41.191030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3290c2a0-8363-4fdc-a0b0-299d944ac0a9 · outbound

This paper cites Cross-domain adaptive teacher for object detection.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Cross-domain adaptive teacher for object detection

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:48.052033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e5e3d532-31f4-452c-bcbf-dd2bf7146837 · outbound

This paper cites Microsoft coco: Common objects in context.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Microsoft coco: Common objects in context

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:47.918479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9ced4b4c-e265-45c1-a500-f72c18ef3dc9 · outbound

This paper cites Periodically exchange teacher-student for source-free object detection.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Periodically exchange teacher-student for source-free object detection

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:47.780103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0177823d-384c-4ab5-840b-8a082bac1141 · outbound

This paper cites Replicable uniformity test- ing.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Replicable uniformity test- ing

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:47.664090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 44615de9-e921-4620-8264-0825768607d1 · outbound

This paper cites Unbiased Teacher for Semi-Supervised Object Detection.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Unbiased Teacher for Semi-Supervised Object Detection

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T17:01:41.600161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c212fca-3c61-442e-b78c-20762bc283e8 · outbound

This paper cites Bridging the invisible and visible world: Translation between rgb and ir images through con- tour cycle gan.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Bridging the invisible and visible world: Translation between rgb and ir images through con- tour cycle gan

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:47.522750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a8a0ef0b-cc4c-4d5b-85b7-e18cd9259580 · outbound

This paper cites Few-shot adaptive object detection with cross-domain cutmix.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Few-shot adaptive object detection with cross-domain cutmix

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:47.415012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c66e7661-a280-41ef-8f34-fa70d79e32cd · outbound

This paper cites The fast Fourier transform.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection The fast Fourier transform

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:47.252875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ec55c3e0-2378-4798-a01c-52d7748c6391 · outbound

This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection U- net: Convolutional networks for biomedical image segmen- tation

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T17:01:41.924885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5238d930-dade-44bb-a15e-6803fb80b71f · outbound

This paper cites Objects365: A large-scale, high-quality dataset for object detection.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Objects365: A large-scale, high-quality dataset for object detection

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:47.114933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0c8e0e6e-c581-41ef-98f8-7d13b6591f69 · outbound

This paper cites an unresolved cited work.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:01:46.967343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f3efa2c9-ea63-46b6-8785-2dc891d3f580 · outbound

This paper cites Mean teachers are better role models: Weight-averaged consistency targets improve 10 semi-supervised deep learning results.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Mean teachers are better role models: Weight-averaged consistency targets improve 10 semi-supervised deep learning results

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:46.786191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c1b6587b-d9f1-4439-98df-863773fdc641 · outbound

This paper cites Source-Free Domain Adaptation for YOLO Object Detection.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Source-Free Domain Adaptation for YOLO Object Detection

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:01:44.518706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ee7e7225-c931-4153-aa7d-6117efa6e6b2 · outbound

This paper cites Attention is all you need.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Attention is all you need

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T17:01:42.419426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 887d2a69-c5d3-4b48-815a-32d8fb6bc7bc · outbound

This paper cites Meta-uda: Unsupervised domain adaptive thermal object detection using meta-learning.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Meta-uda: Unsupervised domain adaptive thermal object detection using meta-learning

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:46.603213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2a8ce2b5-382d-48ae-9621-f7f007dbbadf · outbound

This paper cites Eca-net: Efficient channel at- tention for deep convolutional neural networks.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Eca-net: Efficient channel at- tention for deep convolutional neural networks

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:46.446721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0beb1df9-941a-470a-a3a8-1157122839fd · outbound

This paper cites Efficient Teacher: Semi-Supervised Object Detection for YOLOv5.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Efficient Teacher: Semi-Supervised Object Detection for YOLOv5

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:01:44.278894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 75ba4c73-d576-43de-80d5-9a2593a4282f · outbound

This paper cites End-to- end semi-supervised object detection with soft teacher.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection End-to- end semi-supervised object detection with soft teacher

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T17:01:42.817849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bddd268-7ae2-450c-962a-62d736e7eb23 · outbound

This paper cites Idempotence and percep- tual image compression.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Idempotence and percep- tual image compression

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:46.262448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b8daeb13-6038-4188-b936-e26318e6e29e · outbound

This paper cites H2fa r-cnn: Holistic and hierarchical feature align- ment for cross-domain weakly supervised object detection.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection H2fa r-cnn: Holistic and hierarchical feature align- ment for cross-domain weakly supervised object detection

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:46.105215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4944e6e1-614b-42e6-a235-b3fa2ce0ff17 · outbound

This paper cites Rethinking weak- to-strong augmentation in source-free domain adaptive ob- ject detection.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Rethinking weak- to-strong augmentation in source-free domain adaptive ob- ject detection

Reference 60

Resolution: verified exact; raw_fallback, observed 2026-08-06T17:01:44.084678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3904465c-ebe3-48ce-a3b0-15b4572aefd4 · outbound

This paper cites Chan- nel augmentation for visible-infrared re-identification.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Chan- nel augmentation for visible-infrared re-identification

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:45.923087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 198ab5fb-0d17-46ce-ad7a-f2835a834b9d · outbound

This paper cites Learning spectral- decomposited tokens for domain generalized semantic seg- mentation.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Learning spectral- decomposited tokens for domain generalized semantic seg- mentation

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:45.764471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7af49a28-cd3e-49fc-bd0b-fbe9c4fddfb3 · outbound

This paper cites DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T17:01:43.391115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1723977a-4ca5-4642-a87f-6716f441378a · outbound

This paper cites Semi-detr: Semi-supervised object detection with de- tection transformers.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Semi-detr: Semi-supervised object detection with de- tection transformers

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:45.614786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a095e536-e328-482e-b7ff-9cdccd909ada · outbound

This paper cites Masked retraining teacher- student framework for domain adaptive object detection.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Masked retraining teacher- student framework for domain adaptive object detection

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:45.434555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 274b1b50-09aa-4f7f-984e-6357e120c251 · outbound

This paper cites Meta- exploiting frequency prior for cross-domain few-shot learn- ing.

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection Meta- exploiting frequency prior for cross-domain few-shot learn- ing

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:01:45.296447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation 69b719e8-2d6f-4ff2-b3a0-90d3ac590b41 · inbound

FreqKD: Frequency-Decoupled Cross-Modal Knowledge Distillation for Infrared Object Detection cites this paper.

FreqKD: Frequency-Decoupled Cross-Modal Knowledge Distillation for Infrared Object Detection SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-07-03T08:17:45.233579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.