Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment | Paper Citation Record

Observation d9081ba0-d5a5-443c-a3f8-08f3154ec197 · outbound

This paper cites A broadband hyperspectral image sensor with high spatio-temporal reso- lution.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment A broadband hyperspectral image sensor with high spatio-temporal reso- lution

Reference 1

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Observation 81e27e20-b722-4ce0-a306-21ecbc64a011 · outbound

This paper cites Mask-guided spectral-wise transformer for efficient hyper- spectral image reconstruction.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Mask-guided spectral-wise transformer for efficient hyper- spectral image reconstruction

Reference 2

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Observation 42e75c0a-5db1-4974-b5bb-6e0f0dfe7a52 · outbound

This paper cites Contrastive mean teacher for domain adaptive object detectors.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Contrastive mean teacher for domain adaptive object detectors

Reference 3

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Observation 6b43933c-9d4d-4205-b52b-d81145051bd1 · outbound

This paper cites Constrained band selection for hyperspectral imagery.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Constrained band selection for hyperspectral imagery

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:01.330128Z

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Observation 3812a1a8-bd2a-426c-b497-6d9311a5c412 · outbound

This paper cites Harmonizing transferability and discriminability for adapting object detectors.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Harmonizing transferability and discriminability for adapting object detectors

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:01.314912Z

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Observation 7f84b0c6-71af-452f-90ce-b51a9ff91de7 · outbound

This paper cites Learning domain adaptive object detection with probabilistic teacher.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Learning domain adaptive object detection with probabilistic teacher

Reference 6

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Observation dc985c82-3e81-4cb1-9cb3-bf171f25b0ba · outbound

This paper cites Domain adaptive faster r-cnn for object de- tection in the wild.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Domain adaptive faster r-cnn for object de- tection in the wild

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:01.271321Z

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Observation e6a5e863-0331-4d25-a50d-6d3229e94aee · outbound

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

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Un- biased mean teacher for cross-domain object detection

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:01.254299Z

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Observation 51d7ff22-a4aa-4a46-bdae-4475cfab6ee2 · outbound

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

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Harmo- nious teacher for cross-domain object detection

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:01.231541Z

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Observation 86f2aff1-3b38-4dbe-9d39-a8d4f1d55665 · outbound

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

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment D3t: Distinctive dual-domain teacher zigzagging across rgb- thermal gap for domain-adaptive object detection

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:01.213030Z

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Observation b2bb9de2-627c-462a-a3e2-ebd6f82a1309 · outbound

This paper cites Asymmetric weighted logistic metric learn- ing for hyperspectral target detection.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Asymmetric weighted logistic metric learn- ing for hyperspectral target detection

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:01.193616Z

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Observation e24be91c-ee78-4948-bf60-27e5a24b9211 · outbound

This paper cites Unsupervised domain adaptation by backpropagation.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Unsupervised domain adaptation by backpropagation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:01.178555Z

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Observation e8076e52-079c-4371-9d81-3577b6830c7e · outbound

This paper cites Csda: Learning category-scale joint feature for domain adaptive object detection.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Csda: Learning category-scale joint feature for domain adaptive object detection

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:01.162235Z

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Observation d9a8818d-9e57-413a-8633-c175f0611f5a · outbound

This paper cites Cross domain object detection by target-perceived dual branch distillation.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Cross domain object detection by target-perceived dual branch distillation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:01.147602Z

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Observation d826d977-1488-4e6e-9f6a-81bd3b4233f1 · outbound

This paper cites Surface plasmons-phonons for mid-infrared hyperspectral imaging.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Surface plasmons-phonons for mid-infrared hyperspectral imaging

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:01.129629Z

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Observation 64246fdd-7940-4d75-a988-ae91d6924d32 · outbound

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

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Every pixel matters: Center-aware feature alignment for domain adaptive object detector

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:01.116672Z

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Observation d97ad914-9222-4e4b-8c7d-4b585deb91b8 · outbound

This paper cites Progressive domain adaptation for object detection.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Progressive domain adaptation for object detection

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:01.103447Z

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Observation 81ddaaa0-6196-492a-bbb9-bea73a835843 · outbound

This paper cites M2sodai: Multi- modal maritime object detection dataset with rgb and hyper- spectral image sensors.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment M2sodai: Multi- modal maritime object detection dataset with rgb and hyper- spectral image sensors

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:01.091623Z

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Observation adb4dcc6-1244-408e-95ba-6954ca9544de · outbound

This paper cites Decoupled adaptation for cross-domain object detec- tion.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Decoupled adaptation for cross-domain object detec- tion

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:01.076202Z

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Observation ba176ce8-bba4-471c-bde2-ed309f1619d9 · outbound

This paper cites 1 sparsity- regularized attention multiple-instance network for hyper- spectral target detection.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment 1 sparsity- regularized attention multiple-instance network for hyper- spectral target detection

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:01.062096Z

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Observation 41566e14-26ba-4120-a1ed-98936612d1ad · outbound

This paper cites Hyperspectral anomaly detec- tion with attribute and edge-preserving filters.TGRS, 55(10): 5600–5611, 2017.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Hyperspectral anomaly detec- tion with attribute and edge-preserving filters.TGRS, 55(10): 5600–5611, 2017

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:01.047142Z

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Observation 2f59217c-5b9b-4fcd-99a2-62950fba4749 · outbound

This paper cites 2pcnet: Two-phase consistency training for day-to-night unsupervised domain adaptive object detec- tion.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment 2pcnet: Two-phase consistency training for day-to-night unsupervised domain adaptive object detec- tion

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:01.032132Z

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Observation 15be5a0b-0f4c-4e11-9f33-8705addf76d5 · outbound

This paper cites Cat: Exploiting inter-class dynamics for domain adaptive object detection.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Cat: Exploiting inter-class dynamics for domain adaptive object detection

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:01.014991Z

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Observation d508685a-3149-4e2c-8ec5-2d0b38851e38 · outbound

This paper cites Cross-domain object detection for autonomous driving: A stepwise domain adaptative yolo approach.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Cross-domain object detection for autonomous driving: A stepwise domain adaptative yolo approach

Reference 25

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Observation fb388722-ae28-4c2f-a664-0060f50bbb48 · outbound

This paper cites Quantization-aware deep optics for diffractive snapshot hyperspectral imaging.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Quantization-aware deep optics for diffractive snapshot hyperspectral imaging

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:00.982619Z

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Observation bcdf8a0b-300a-49a7-81d9-e26e32d7c473 · outbound

This paper cites Spectral enhanced rectangle transformer for hyperspectral image denoising.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Spectral enhanced rectangle transformer for hyperspectral image denoising

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:00.967115Z

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Observation bbd391e6-ddda-4021-a330-265874527e0a · outbound

This paper cites Sigma: Semantic- complete graph matching for domain adaptive object detec- tion.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Sigma: Semantic- complete graph matching for domain adaptive object detec- tion

Reference 28

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Observation 13434870-0bc2-4756-a792-caaa697f7b2b · outbound

This paper cites Target detection with unconstrained lin- ear mixture model and hierarchical denoising autoencoder in hyperspectral imagery.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Target detection with unconstrained lin- ear mixture model and hierarchical denoising autoencoder in hyperspectral imagery

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:00.936848Z

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Observation a5ab9cf8-0fa0-4dc4-b2f4-f0d5f9aabf39 · outbound

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

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Cross-domain adaptive teacher for object detection

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:00.922950Z

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Observation 6e9c6505-df98-40d7-a02e-c784d3994b57 · outbound

This paper cites Decom- pose to adapt: Cross-domain object detection via feature dis- entanglement.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Decom- pose to adapt: Cross-domain object detection via feature dis- entanglement

Reference 31

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Observation 8fdf0209-0996-4aa9-b458-40bef4b162ab · outbound

This paper cites Confmix: Unsupervised domain adaptation for ob- ject detection via confidence-based mixing.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Confmix: Unsupervised domain adaptation for ob- ject detection via confidence-based mixing

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:00.896575Z

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Observation a430bf3e-11e8-4467-a449-284b02666838 · outbound

This paper cites Active domain adaptation with false negative prediction for object detection.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Active domain adaptation with false negative prediction for object detection

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:00.881491Z

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Observation fb83df50-398c-4ec4-acfd-a6ea1dc8d8a7 · outbound

This paper cites HTD- TS3: Weakly supervised hyperspectral target detection based on transformer via spectral–spatial similarity.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment HTD- TS3: Weakly supervised hyperspectral target detection based on transformer via spectral–spatial similarity

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:00.868087Z

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Observation 3baaf928-d50c-4e08-8801-571665548666 · outbound

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

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:00.853758Z

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Observation a9179211-6840-40fc-9c9c-4e90646fcb25 · outbound

This paper cites Prior-based domain adaptive object detec- tion for hazy and rainy conditions.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Prior-based domain adaptive object detec- tion for hazy and rainy conditions

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:00.834467Z

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Observation 0c396cb2-f0ee-41cc-885e-6ee23b801b2d · outbound

This paper cites Adapting object detec- tors with conditional domain normalization.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Adapting object detec- tors with conditional domain normalization

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:00.819421Z

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Observation 91b7c059-5868-481f-a56d-bf5976d3d10c · outbound

This paper cites Mega-cda: Memory guided attention for category-aware unsupervised domain adaptive object detection.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Mega-cda: Memory guided attention for category-aware unsupervised domain adaptive object detection

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:00.800485Z

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Observation 82b135e8-babf-476b-8c92-b6cb2381937e · outbound

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

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Meta-uda: Unsupervised domain adap- tive thermal object detection using meta-learning

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:00.781223Z

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Observation d8b856fd-f7de-4d65-b236-ec64fa944b8b · outbound

This paper cites Towards on- line domain adaptive object detection.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Towards on- line domain adaptive object detection

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:00.763984Z

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Observation 7bb4d18f-de01-413a-9735-2d7a2925a032 · outbound

This paper cites Generalized autoencoder: A neural network framework for dimensionality reduction.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Generalized autoencoder: A neural network framework for dimensionality reduction

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:00.738429Z

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Observation 5fa8e8eb-60ef-450f-a2af-8ea72a18dad7 · outbound

This paper cites In2set: Intra-inter similarity exploit- ing transformer for dual-camera compressive hyperspectral imaging.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment In2set: Intra-inter similarity exploit- ing transformer for dual-camera compressive hyperspectral imaging

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:00.709921Z

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Observation 9c87b9f7-aa51-4b8d-8425-c96ad0037611 · outbound

This paper cites Instance-invariant domain adaptive object detection via pro- gressive disentanglement.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Instance-invariant domain adaptive object detection via pro- gressive disentanglement

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:00.690665Z

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Observation b37ae8da-1ea6-468a-858c-9b712d3cd778 · outbound

This paper cites Exploring categorical regularization for domain adap- tive object detection.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Exploring categorical regularization for domain adap- tive object detection

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:00.673358Z

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Observation 03531bb1-a515-4603-be59-4ab023b42fee · outbound

This paper cites Cross-domain detection via graph-induced prototype alignment.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Cross-domain detection via graph-induced prototype alignment

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:00.659321Z

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Observation 0cc82a2c-1c4e-4c5b-83d5-d04722875b46 · outbound

This paper cites Multi-view adversarial discriminator: Mine the non-causal factors for object detection in unseen domains.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Multi-view adversarial discriminator: Mine the non-causal factors for object detection in unseen domains

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:00.644198Z

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Observation 4d24b880-145f-4898-89c3-9a13af1ed029 · outbound

This paper cites Sc-uda: Style and content gaps aware unsupervised domain adaptation for object de- tection.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Sc-uda: Style and content gaps aware unsupervised domain adaptation for object de- tection

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:00.625820Z

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Observation d6f1f61c-c035-4b91-9787-cff41c146fb5 · outbound

This paper cites Detectron2.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Detectron2

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:00.609518Z

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Observation d2d18f26-aca1-44e9-879a-680b9e83a695 · outbound

This paper cites Discrimina- tive multiple instance hyperspectral target characterization.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Discrimina- tive multiple instance hyperspectral target characterization

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:00.592430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1d7b689d-1d07-4610-8c7e-aa733c2c193a · outbound

This paper cites Quantum- inspired spectral-spatial pyramid network for hyperspectral image classification.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Quantum- inspired spectral-spatial pyramid network for hyperspectral image classification

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:00.560042Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4e095170-1c28-4121-b82e-9f3e45849079 · outbound

This paper cites Task-specific inconsistency alignment for domain adaptive object detection.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Task-specific inconsistency alignment for domain adaptive object detection

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:00.534232Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b8b3f80d-61f5-432a-9785-daa5c700f592 · outbound

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

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Masked retraining teacher- student framework for domain adaptive object detection

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:00.505591Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 77932a86-1661-4447-818c-aef071b923f0 · outbound

This paper cites Multi-granularity alignment domain adaptation for object detection.

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment Multi-granularity alignment domain adaptation for object detection

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:00.475566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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