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Paper Citation Record · LEDGER

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation

As of 15 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2608.06028.

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

pith.paper-citation-record.v1
2608.06028 v1

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:11:49.877941Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

66 of 66 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1d6a4498-db14-430d-89b3-1c4fe236806c · outbound

This paper cites UIU-Net: U-Net in U-Net for infrared small object detection,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation UIU-Net: U-Net in U-Net for infrared small object detection,

Reference 1

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Observation c952d689-61db-4549-8b7c-69359d874e11 · outbound

This paper cites Nonlocal patch tensor sparse representation for hyperspectral image super-resolution,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Nonlocal patch tensor sparse representation for hyperspectral image super-resolution,

Reference 2

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Observation fd725e4b-094d-459a-86d2-25ad7211b8c2 · outbound

This paper cites An augmented linear mixing model to address spectral variability for hyperspectral unmixing,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation An augmented linear mixing model to address spectral variability for hyperspectral unmixing,

Reference 3

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Observation 61c3c918-1942-4230-9460-09cc0c1b7d96 · outbound

This paper cites A generalized non-convex surrogated framework for anomaly detection on blurred hyperspectral images,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation A generalized non-convex surrogated framework for anomaly detection on blurred hyperspectral images,

Reference 4

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Source-reported events for the cited work

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Observation cd217dc8-55d6-4e41-8eb6-e8002a3054b3 · outbound

This paper cites Flex-DLD: Deep low- rank decomposition model with flexible priors for hyperspectral image denoising and restoration,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Flex-DLD: Deep low- rank decomposition model with flexible priors for hyperspectral image denoising and restoration,

Reference 5

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Source-reported events for the cited work

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Observation 51329c59-e873-4d98-94f5-a9a565d1be26 · outbound

This paper cites A supervised segmentation network for hyperspectral image classification,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation A supervised segmentation network for hyperspectral image classification,

Reference 6

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Source-reported events for the cited work

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Observation f3908385-65c9-4404-ae9c-602b1757d8d7 · outbound

This paper cites Identifiability of the simplex volume minimization criterion for blind hyperspectral unmixing: The no-pure-pixel case,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Identifiability of the simplex volume minimization criterion for blind hyperspectral unmixing: The no-pure-pixel case,

Reference 7

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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 2026-08-15T06:32:42.880941+00:00.

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Observation 214f4c29-d2a6-4cfd-9c28-44e1a031be63 · outbound

This paper cites Nonnegative blind source separation for ill-conditioned mixtures via John ellipsoid,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Nonnegative blind source separation for ill-conditioned mixtures via John ellipsoid,

Reference 8

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Source-reported events for the cited work

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Observation 291a71aa-5be6-4000-8144-0dc91eac15c9 · outbound

This paper cites PCA-based land-use change detection and analysis using multitemporal and multisensor satellite data,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation PCA-based land-use change detection and analysis using multitemporal and multisensor satellite data,

Reference 9

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Observation a2f28c6a-902b-4f8f-bb38-24acc2d8fd88 · outbound

This paper cites Multivariate alteration detection (MAD) and MAF postprocessing in multispectral, bitemporal image data: New approaches to change detection studies,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Multivariate alteration detection (MAD) and MAF postprocessing in multispectral, bitemporal image data: New approaches to change detection studies,

Reference 10

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Source-reported events for the cited work

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Observation 0f1854c3-41a5-45c0-b125-200386d849dc · outbound

This paper cites Multiple support vector machines for land cover change detection: An application for mapping urban extensions,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Multiple support vector machines for land cover change detection: An application for mapping urban extensions,

Reference 11

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Source-reported events for the cited work

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Observation 9081236d-ee89-4447-9724-3334f83cda39 · outbound

This paper cites Extreme learning machine: theory and applications,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Extreme learning machine: theory and applications,

Reference 12

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Source-reported events for the cited work

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Observation e130ffb8-b8d9-4997-a7e8-e45f5a7fca56 · outbound

This paper cites Automatic analysis of the difference image for unsupervised change detection,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Automatic analysis of the difference image for unsupervised change detection,

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.554979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T19:11:49.680470Z digest=sha256:06ac2821caaa2d2ed89557232e55ec807c164dfee6c378f298fb940d35c16857

Observation 4e6daa86-f915-4060-aa67-bcbecc4c1afb · outbound

This paper cites SAAN: Similarity-aware attention flow network for change detection with VHR remote sensing images,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation SAAN: Similarity-aware attention flow network for change detection with VHR remote sensing images,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 8aacb77f-8b53-4ba8-9090-ea93b2943aa1 · outbound

This paper cites Iterative robust graph for unsupervised change detection of heterogeneous remote sensing images,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Iterative robust graph for unsupervised change detection of heterogeneous remote sensing images,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 7a8832a5-c9c2-4680-a20f-49c0f455744d · outbound

This paper cites A context-sensitive technique robust to registration noise for change detection in VHR multispectral images,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation A context-sensitive technique robust to registration noise for change detection in VHR multispectral images,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ac0d0462-d502-4340-a6f7-72fb158354af · outbound

This paper cites Binary change guided hyperspec- tral multiclass change detection,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Binary change guided hyperspec- tral multiclass change detection,

Reference 17

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Source-reported events for the cited work

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Observation ae586aaa-6bb3-4c2e-834e-a60457fd359a · outbound

This paper cites Deep learning for change detection in remote sensing images: Comprehensive review and meta-analysis,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Deep learning for change detection in remote sensing images: Comprehensive review and meta-analysis,

Reference 18

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Source-reported events for the cited work

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Observation 4d8ac22c-94af-4949-8757-a18d5a4a469b · outbound

This paper cites Backpropagation applied to handwritten zip code recognition,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Backpropagation applied to handwritten zip code recognition,

Reference 19

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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 2026-08-15T06:32:42.880941+00:00.

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Observation 1bf83fbf-45d2-4fed-aaaa-882df8ebb95c · outbound

This paper cites Multispectral change detection with bilinear convolutional neural networks,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Multispectral change detection with bilinear convolutional neural networks,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 0b5fac91-0eda-4e70-949e-2cc0f17f16dc · outbound

This paper cites SwinSUNet: Pure transformer network for remote sensing image change detection,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation SwinSUNet: Pure transformer network for remote sensing image change detection,

Reference 21

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Source-reported events for the cited work

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Observation 667a3f32-e08b-435e-8ce0-ed8029e04e82 · outbound

This paper cites TransUNetCD: A hybrid trans- former network for change detection in optical remote-sensing images,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation TransUNetCD: A hybrid trans- former network for change detection in optical remote-sensing images,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f7fcdf8b-61f6-4432-9a4a-5964f61ea660 · outbound

This paper cites A non-local sparse unmixing based hyperspectral change detection with unsupervised deep clustering,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation A non-local sparse unmixing based hyperspectral change detection with unsupervised deep clustering,

Reference 23

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Source-reported events for the cited work

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Observation 372195f3-50ab-42c6-9fbf-043dd4e3a512 · outbound

This paper cites Maximum volume inscribed ellipsoid: A new simplex-structured matrix factoriza- tion framework via facet enumeration and convex optimization,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Maximum volume inscribed ellipsoid: A new simplex-structured matrix factoriza- tion framework via facet enumeration and convex optimization,

Reference 24

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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 2026-08-15T06:32:42.880941+00:00.

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Observation 7d59ff94-939d-44fc-825f-435ee530daf6 · outbound

This paper cites HyperNet: Self-supervised hyperspectral spatial–spectral feature understanding network for hyperspectral change detection,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation HyperNet: Self-supervised hyperspectral spatial–spectral feature understanding network for hyperspectral change detection,

Reference 25

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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 2026-08-15T06:32:42.880941+00:00.

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Observation 0f1e2ebe-b45c-4d7a-8be6-90935d3531b6 · outbound

This paper cites Hyperspectral change detection using semi- supervised graph neural network and convex deep learning,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Hyperspectral change detection using semi- supervised graph neural network and convex deep learning,

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation fe86a91c-cf06-49d9-bc4b-6e466fcf4368 · outbound

This paper cites Quantum Information- Empowered Graph Neural Network for Hyperspectral Change Detec- tion,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Quantum Information- Empowered Graph Neural Network for Hyperspectral Change Detec- tion,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T19:11:49.733003Z digest=sha256:c800f5e7005a7b094d7b675389f69426af58388df9ee40d405381db6c7b9405f

Observation b60b2787-141d-45b7-9d2b-0c8b5e67651a · outbound

This paper cites A theoretical framework for unsupervised change detection based on change vector analysis in the polar domain,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation A theoretical framework for unsupervised change detection based on change vector analysis in the polar domain,

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 92448c95-3396-4513-b19b-1b8be2dd1ae1 · outbound

This paper cites Unsupervised change detection in satellite images using principal component analysis andk-means clustering,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Unsupervised change detection in satellite images using principal component analysis andk-means clustering,

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f2f24fe3-c49e-42a8-9025-aaf120079c8c · outbound

This paper cites GETNET: A general end-to-end 2-D CNN framework for hyperspectral image change detection,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation GETNET: A general end-to-end 2-D CNN framework for hyperspectral image change detection,

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.348168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 303e36d5-cdf7-4299-8ee2-8d392c62cd78 · outbound

This paper cites CSANet: Cross-temporal interaction symmetric attention network for hyperspectral image change detection,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation CSANet: Cross-temporal interaction symmetric attention network for hyperspectral image change detection,

Reference 31

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raw_fallback, observed 2026-08-07T19:11:50.334989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation cf117d1a-e9f1-4e3f-9ba6-6c787e0fe8d0 · outbound

This paper cites A multilevel encoder– decoder attention network for change detection in hyperspectral images,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation A multilevel encoder– decoder attention network for change detection in hyperspectral images,

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.323263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T19:11:49.751108Z digest=sha256:95242ad18cc9530c30219f7565ce302aea7c704e613976f0c0b3a458055ac638

Observation 6aa45a4c-0cd1-4591-813a-6dd943cc691b · outbound

This paper cites SSA-SiamNet: Spectral–spatial-wise attention-based Siamese network for hyperspectral image change detection,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation SSA-SiamNet: Spectral–spatial-wise attention-based Siamese network for hyperspectral image change detection,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.312073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T19:11:49.754116Z digest=sha256:55fbe36a1d3e3c2a5b44fddfdba098c1d9eb829d721d70d90198b1d78313468c

Observation 7bc40fd0-6880-40dc-8dff-bdd20ae06311 · outbound

This paper cites Three-order tucker decomposition and reconstruction detector for unsupervised hyperspectral change de- tection,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Three-order tucker decomposition and reconstruction detector for unsupervised hyperspectral change de- tection,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.300821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T19:11:49.757881Z digest=sha256:3ec2717b74303b3e7bc8501b7a030cd49680714bd5351b405ec36ce8e3aab888

Observation 31b9f885-247e-4c38-be91-0ca28118ac3e · outbound

This paper cites A patch tensor-based change detection method for hyperspectral images,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation A patch tensor-based change detection method for hyperspectral images,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.289515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T19:11:49.760939Z digest=sha256:a62b74232722176486058241c534ff6151da335ff75a4512e34a69cda8ea0168

Observation 399cef22-f535-4a3f-a7f3-7738228ed46d · outbound

This paper cites S3Net: Superpixel- guided self-supervised learning network for multitemporal image change detection,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation S3Net: Superpixel- guided self-supervised learning network for multitemporal image change detection,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.279158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T19:11:49.764315Z digest=sha256:f3bfacf97306a9457e0625cb44add019baa9bdecac0d9c413fff21cd1db9c62c

Observation eecf70ef-be09-4962-9006-17f782f9c422 · outbound

This paper cites Hypergraph self-supervised learning-based joint spectral-spatial-temporal feature representation for hyperspectral image change detection,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Hypergraph self-supervised learning-based joint spectral-spatial-temporal feature representation for hyperspectral image change detection,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.265833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T19:11:49.768402Z digest=sha256:dc09830fc91577079b826cbe3d41298c321cb263fc155114d91155e4aed39466

Observation 44720586-0730-4e37-92c3-e8ecf0473f5c · outbound

This paper cites ADMM-ADAM: A new inverse imaging framework blending the advantages of convex optimization and deep learning,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation ADMM-ADAM: A new inverse imaging framework blending the advantages of convex optimization and deep learning,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.253799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T19:11:49.771966Z digest=sha256:42457c50dcba1531bbe4a7e6ac81802f238209cba3bb9bc3cacf12e91e7bcb2e

Observation 7f57f7e7-3805-452f-af50-225eec10fee6 · outbound

This paper cites Underdetermined blind source separation via weighted simplex shrinkage regularization and quantum deep image prior,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Underdetermined blind source separation via weighted simplex shrinkage regularization and quantum deep image prior,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.241112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T19:11:49.775424Z digest=sha256:50976ca2647f1dbf1c4f2191f29e31071d4a2d6518c29ce78a51b0ab6a50cf78

Observation ede9102a-e3d5-4cf1-81b9-d374d6472c51 · outbound

This paper cites HyperKING: Quantum-classical generative adversarial networks for hyperspectral image restoration,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation HyperKING: Quantum-classical generative adversarial networks for hyperspectral image restoration,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.229106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T19:11:49.779152Z digest=sha256:c92cd8ef714757fe8c80fe3ed37bd2f1613e810c85d1a9daa781ddf967b013e0

Observation bd9ed6a5-9f6d-4573-8493-117097d690e6 · outbound

This paper cites Change representation and extraction in stripes: Rethinking unsupervised hyperspectral image change detection with an untrained network,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Change representation and extraction in stripes: Rethinking unsupervised hyperspectral image change detection with an untrained network,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.216947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T19:11:49.783308Z digest=sha256:448834d05a5d5fa8716b4f7f251c48bf6202f70733ca4af2b53d9ee0dab2f6b8

Observation 30e3ee3b-446b-4ef6-a3ea-c5119db3c418 · outbound

This paper cites Unsupervised change detection in multitemporal multispectral satellite images: A convex relaxation approach,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Unsupervised change detection in multitemporal multispectral satellite images: A convex relaxation approach,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.203993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T19:11:49.786995Z digest=sha256:663846c679c3281befb15983560a439e671f544b0b51ad4bf72d1240909e6089

Observation ce3d5585-0c0f-4333-a2a6-cd757c3733fa · outbound

This paper cites Active sample selection and correction propagation on a gradually-augmented graph,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Active sample selection and correction propagation on a gradually-augmented graph,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.191222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T19:11:49.790546Z digest=sha256:e022192eb6d24e35d9de5dd65a5f131b594aa6724422bda8e24e367c89e4c5c8

Observation 9ce5ccc1-7286-4dbe-b79a-75868961846d · outbound

This paper cites Adam: A method for stochastic optimization,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Adam: A method for stochastic optimization,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.179284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T19:11:49.794350Z digest=sha256:754dc77448a71f7d20e8e0892b34f82ae75eb2d002e123076806ae764b4abe22

Observation 1a0f61eb-057f-4d0c-b7f5-8a195f53fce7 · outbound

This paper cites Discrimination among semi-arid landscape endmembers using the spectral angle mapper (SAM) algorithm,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Discrimination among semi-arid landscape endmembers using the spectral angle mapper (SAM) algorithm,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.167070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T19:11:49.798102Z digest=sha256:83d379f66934277c4db5953f5efaa45929e532443e403f00498cdaa39d77227c

Observation 4be69537-4185-475a-bee9-9073e56a78e9 · outbound

This paper cites Hyperspectral anomaly detection via global and local joint modeling of background,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Hyperspectral anomaly detection via global and local joint modeling of background,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.155659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T19:11:49.801836Z digest=sha256:a3e0517cbdd8da392db53d388c34f9f25af45985853c8b1b9966295bab534ea7

Observation 10122fd0-6553-4ae8-8ed3-d9b202f8c62f · outbound

This paper cites an unresolved cited work.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-07T19:11:50.144505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T19:11:49.805567Z digest=sha256:d9dad8076bc994fb9a9e57b75ff1db5b4e4ee13098c28245f3993b7f8dc1c7ef

Observation 61638528-100b-41cc-b656-64f208c07fab · outbound

This paper cites Chi, W.-C.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Chi, W.-C

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T19:11:49.809476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:11:49.809476Z digest=sha256:1c1334f2b7193298a43adb10a87427129dac66010e6086106767ff860f9b179d

Observation db268aed-fe0c-4a36-89a0-82fabfe875bc · outbound

This paper cites Band selection- based dimensionality reduction for change detection in multi-temporal hyperspectral images,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Band selection- based dimensionality reduction for change detection in multi-temporal hyperspectral images,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.125809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T19:11:49.813261Z digest=sha256:ad0ae085f6d85f0a9a92d58d73d705fc2019cfcb03409b6ece74133baa32144d

Observation deddecfd-6ac6-4dfe-8947-b10808c4ee27 · outbound

This paper cites Unsupervised change detection in multispectral remote sensing images via spectral- spatial band expansion,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Unsupervised change detection in multispectral remote sensing images via spectral- spatial band expansion,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.113544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T19:11:49.818883Z digest=sha256:c668a59ac64403b046ee4b705e9da10f88e7f67078d0686405005ae107e08a24

Observation f1772a22-4693-41bd-bdab-ec577015b7d8 · outbound

This paper cites Change detection for hyperspectral images via convolutional sparse analysis and temporal spectral unmixing,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Change detection for hyperspectral images via convolutional sparse analysis and temporal spectral unmixing,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.100774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T19:11:49.823225Z digest=sha256:5bcbd1359fe78129359e59ffba65d8e1f6185ac44ddff7f22c28cd8a3dd7951c

Observation 722e6527-8fd9-4f38-864d-75ef183de051 · outbound

This paper cites Adaptive center-focused hybrid attention network for change detection in hyperspectral images,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Adaptive center-focused hybrid attention network for change detection in hyperspectral images,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.088628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T19:11:49.827075Z digest=sha256:8c856dc883d7bfef4ea8dc0c62166a72d72e95144ea49a54c9fe9fe751a5fa72

Observation b104df0b-02a6-4531-b99e-dd0ca12ce08f · outbound

This paper cites Accuracy and inaccuracy assessments in land- cover classification,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Accuracy and inaccuracy assessments in land- cover classification,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.075427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T19:11:49.830654Z digest=sha256:9e1b71281199849e947e91320f163b38ff613202685de7b8acd6055b4fbebcfb

Observation 0264270b-fc8c-4e0d-9120-4fb7556249af · outbound

This paper cites Coefficient kappa: Some uses, misuses, and alternatives,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Coefficient kappa: Some uses, misuses, and alternatives,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.062129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T19:11:49.834657Z digest=sha256:f978e6f945de74ef88d9b3527c46abceb02ea418b868c4e431fc93a19fda62f4

Observation d7fc35e5-3817-47d5-87f4-5af4b49510f1 · outbound

This paper cites Confusion matrix-based perfor- mance evaluation metrics,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Confusion matrix-based perfor- mance evaluation metrics,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.049568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T19:11:49.838517Z digest=sha256:aec21151c07328c611f0ce826dbb73ceb678fff274070d4145bf33d001843556

Observation 49c98e72-d146-4db5-ba3a-c34ab83e299a · outbound

This paper cites On Loss Functions for Deep Neural Networks in Classification.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation On Loss Functions for Deep Neural Networks in Classification

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T19:11:49.841948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:11:49.841948Z digest=sha256:fd98f75ab5d816cce28b02274d201769e4e986f61a029f7b7bd634b9cb36c827

Observation 40481006-8796-4d00-9fab-eb07138ea4f9 · outbound

This paper cites SLIC superpixels compared to state-of-the-art superpixel methods,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation SLIC superpixels compared to state-of-the-art superpixel methods,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.036869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T19:11:49.845585Z digest=sha256:653ffca4d0a819d0d6c7bc23ce0dcffbc712d915f7d633bcdbee81e635b66901

Observation abf7783c-5cb7-49cc-b95e-c691425f7663 · outbound

This paper cites Survey over image thresholding techniques and quantitative performance evaluation,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Survey over image thresholding techniques and quantitative performance evaluation,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.024633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T19:11:49.848558Z digest=sha256:245741eb34d3f30fc51b54fc3a6d592b77eaabb10ff895c054ef0ac333c89b85

Observation 5f07c4a0-281a-476c-87fa-8d6f9263ccad · outbound

This paper cites Long short-term memory,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Long short-term memory,

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T19:11:49.852011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:11:49.852011Z digest=sha256:e02d02b142a0d09486d0638e1bedd786c27c9de83249efc5614e015ff9558de2

Observation d9504aff-7a50-436f-afbb-039cce85f91a · outbound

This paper cites A fast hyperplane- based minimum-volume enclosing simplex algorithm for blind hyper- spectral unmixing,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation A fast hyperplane- based minimum-volume enclosing simplex algorithm for blind hyper- spectral unmixing,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:50.005829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T19:11:49.855381Z digest=sha256:733e1ba0da30b0ad19f2a12334b68f36c677904e05e77284a4938e4ad00edbff

Observation 865b922c-2677-4cd9-ac4d-fa92a256ddd9 · outbound

This paper cites Unsupervised Spatial-spectral Hyperspectral Image Reconstruction and Clustering with Diffusion Geometry.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Unsupervised Spatial-spectral Hyperspectral Image Reconstruction and Clustering with Diffusion Geometry

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-08-07T19:11:49.918817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T19:11:49.858369Z digest=sha256:22ea307e6c69d54e972924a2a2b303b8bf0144dd9bd4f476b26c157805e63564

Observation 040ec4fd-848c-449e-ab18-ec534af0cf8f · outbound

This paper cites AI-powered video monitoring: Assessing the NVIDIA Jetson Orin devices for edge com- puting applications,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation AI-powered video monitoring: Assessing the NVIDIA Jetson Orin devices for edge com- puting applications,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:49.993595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T19:11:49.862277Z digest=sha256:ac8702e85c30f93ce38599c6ac3879d1bafb3a35fbe4fbe47f031bd2236dfb1a

Observation 1ae2e84e-43cb-4ea0-905d-d09a624a169a · outbound

This paper cites Regularization parameter selection in minimum volume hyperspectral unmixing,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Regularization parameter selection in minimum volume hyperspectral unmixing,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:49.981908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T19:11:49.865977Z digest=sha256:a8b402863dd036c1631d73c627e863a7dd3520b1ae5649d42f6fd6a2880f642d

Observation 558fbc93-9319-4c0f-99e9-0fba6de26497 · outbound

This paper cites Demystifying tensorRT: Characterizing neural network inference engine on nvidia edge devices,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Demystifying tensorRT: Characterizing neural network inference engine on nvidia edge devices,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:49.969973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T19:11:49.869489Z digest=sha256:5380b2fea6a0d62dbbc824dade5e0948fa77f211b35c28462cee8001611f3607

Observation e8ccd881-d576-4e7c-a0b8-da3c4213e96c · outbound

This paper cites Under- standing the runtime overheads of deep learning inference on edge devices,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Under- standing the runtime overheads of deep learning inference on edge devices,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:49.957035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T19:11:49.873091Z digest=sha256:cdc2aced18ef97b05ccd877341dc2d76cf40eaeb65f7e29fd728e9d48d3dcbc1

Observation 29837c95-db05-4e35-b439-727e0ba00075 · outbound

This paper cites Detecting vehicles on the edge: Knowledge distillation to improve performance in heteroge- neous road traffic,.

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation Detecting vehicles on the edge: Knowledge distillation to improve performance in heteroge- neous road traffic,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:11:49.944978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T19:11:49.877941Z digest=sha256:8bf03618a2bfabc7da13c804ca96be66c0fcf3fb55f7f422fa70e130852dcc7b

Pith citing papers

No inbound Pith citation observations are available.