Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification | Paper Citation Record

Observation 228d3e9e-9ceb-4654-9067-eb7ffbae5ae8 · outbound

This paper cites Artificial intelligence for geoscience: Progress, chal- lenges and perspectives.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification Artificial intelligence for geoscience: Progress, chal- lenges and perspectives

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.314938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d9bccb43-5642-448e-810f-6077c773943c · outbound

This paper cites On the Foundations of Earth and Climate Foundation Models.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification On the Foundations of Earth and Climate Foundation Models

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-18T08:56:08.660068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5efa5cca-0a17-4c19-ad9f-f156778e0510 · outbound

This paper cites Remote Sensing Image Classification: A Comprehensive Review and Applica- tions.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification Remote Sensing Image Classification: A Comprehensive Review and Applica- tions

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.289419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f755dcd9-ec47-4409-941e-0aede498490e · outbound

This paper cites Current trends in deep learning for Earth Observation: An open-source bench- mark arena for image classification.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification Current trends in deep learning for Earth Observation: An open-source bench- mark arena for image classification

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.297096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 18cc4dc3-07b7-4e6e-8604-3e62bd343960 · outbound

This paper cites Recent Advances on Spectral–Spatial Hyperspectral Image Classification: An Overview and New Guidelines.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification Recent Advances on Spectral–Spatial Hyperspectral Image Classification: An Overview and New Guidelines

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.394036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fd316e19-832b-4b51-82cb-56f150d937fc · outbound

This paper cites Recurrently exploring class-wise attention in a hybrid convolutional and bidirectional LSTM network for multi-label aerial image classification.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification Recurrently exploring class-wise attention in a hybrid convolutional and bidirectional LSTM network for multi-label aerial image classification

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.380396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2f03aea4-02e5-4789-a385-be0c2391e928 · outbound

This paper cites A Deep Multi-Attention Driven Approach for Multi-Label Remote Sensing Image Classification.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification A Deep Multi-Attention Driven Approach for Multi-Label Remote Sensing Image Classification

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.391306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8539eaff-1ce6-4b7c-969c-84d44c520cf0 · outbound

This paper cites On the Effects of Different Types of Label Noise in Multi-Label Remote Sensing Image Classifica- tion.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification On the Effects of Different Types of Label Noise in Multi-Label Remote Sensing Image Classifica- tion

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.345065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cb24b540-9a5f-40b8-9245-bf4351e4fd68 · outbound

This paper cites Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.360975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 28eca380-fe29-4fc5-a4cd-044009075ecf · outbound

This paper cites Multi-Label Learning From Single Positive Labels.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification Multi-Label Learning From Single Positive Labels

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.352846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation df5721fd-3987-45d2-a505-ea888ec55677 · outbound

This paper cites Relation Network for Multilabel Aerial Image Classification.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification Relation Network for Multilabel Aerial Image Classification

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.372751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2a1f13b3-a44a-4bac-8dff-39a21ff8228f · outbound

This paper cites reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-18T08:56:08.664580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2af17a21-d149-4186-86b5-6eec7579855c · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification mixup: Beyond Empirical Risk Minimization

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.347724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0e1c97ca-5d8a-48e0-b1b3-c72a0d34db6c · outbound

This paper cites Large Loss Matters in Weakly Supervised Multi-Label Classification.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification Large Loss Matters in Weakly Supervised Multi-Label Classification

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.377501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c6e3c4a0-1ce8-496c-b7da-51bd8336216b · outbound

This paper cites Label-Aware Global Consistency for Multi-Label Learning with Single Positive Labels.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification Label-Aware Global Consistency for Multi-Label Learning with Single Positive Labels

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.339422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 561dcf99-c2b7-4758-8843-08cd0a184e8f · outbound

This paper cites Boosting single positive multi-label classification with generalized robust loss.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification Boosting single positive multi-label classification with generalized robust loss

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.336490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a996cb60-1659-4686-b004-644a431c869e · outbound

This paper cites Bridging the Gap Between Model Explanations in Partially Annotated Multi- Label Classification.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification Bridging the Gap Between Model Explanations in Partially Annotated Multi- Label Classification

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.382559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4d11242b-bb63-4332-bf7a-8ce4dae4c181 · outbound

This paper cites Revisiting Pseudo-Label for Single- UNDER REVIEW FOR PUBLICATION IN IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 14 Positive Multi-Label Learning.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification Revisiting Pseudo-Label for Single- UNDER REVIEW FOR PUBLICATION IN IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 14 Positive Multi-Label Learning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.375285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1d75b819-c8ad-4034-9a7c-828afd56fdb0 · outbound

This paper cites Early-Learning Regularization Prevents Memorization of Noisy Labels.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification Early-Learning Regularization Prevents Memorization of Noisy Labels

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.342142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d59ff68c-d91d-45e3-b9af-21fc80aec1c6 · outbound

This paper cites A Deep Learning Approach to UA V Image Multilabeling.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification A Deep Learning Approach to UA V Image Multilabeling

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.350544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a49a0c6f-0034-4bf5-be60-d35098e810a1 · outbound

This paper cites Spatial and Structured SVM for Multilabel Image Classification.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification Spatial and Structured SVM for Multilabel Image Classification

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.355621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7ba97733-f7d9-4c03-accf-3b59e920f23f · outbound

This paper cites ImageNet Large Scale Visual Recognition Challenge.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification ImageNet Large Scale Visual Recognition Challenge

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.368397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f3d17eb7-2acb-4dad-8bfa-07cd895a1a79 · outbound

This paper cites Deep Learning for Multilabel Land Cover Scene Categorization Using Data Augmentation.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification Deep Learning for Multilabel Land Cover Scene Categorization Using Data Augmentation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.331168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4a49d674-329d-4b24-aba0-c813afe7b94f · outbound

This paper cites Deep Attention Neural Network for Multi-Label Classification in Unmanned Aerial Vehicle Imagery.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification Deep Attention Neural Network for Multi-Label Classification in Unmanned Aerial Vehicle Imagery

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.398651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 39557e5c-8e24-4ca0-bc8a-098308291e55 · outbound

This paper cites CCMN: A General Framework for Learn- ing With Class-Conditional Multi-Label Noise.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification CCMN: A General Framework for Learn- ing With Class-Conditional Multi-Label Noise

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.384817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9bd9de98-82d3-41dc-9dbf-df18e65718b4 · outbound

This paper cites Analysis of Learning from Positive and Unlabeled Data.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification Analysis of Learning from Positive and Unlabeled Data

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.386867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f4d7d59d-9719-4f59-9143-8c6bf32c678e · outbound

This paper cites The- oretical Comparisons of Positive-Unlabeled Learning against Positive- Negative Learning.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification The- oretical Comparisons of Positive-Unlabeled Learning against Positive- Negative Learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.317724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a88ae544-56f9-4346-b7e8-3afd4ee1395a · outbound

This paper cites Learning from positive and unlabeled data: A survey.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification Learning from positive and unlabeled data: A survey

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.286673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c368bd4f-920d-407b-8dcc-bbc58978f5f0 · outbound

This paper cites Robust Training of Deep Neural Networks with Weakly Labelled Data.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification Robust Training of Deep Neural Networks with Weakly Labelled Data

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.320416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ff1460bf-7330-442f-9f22-ce417af3d630 · outbound

This paper cites Robust deep neural networks for road extraction from remote sensing images.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification Robust deep neural networks for road extraction from remote sensing images

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.302436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2c2529e7-0809-420c-b12f-7bbfe28c71db · outbound

This paper cites Remote Sensing Image Scene Classification with Noisy Label Distillation.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification Remote Sensing Image Scene Classification with Noisy Label Distillation

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.309932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8a9a8c06-890e-4b0e-9ab7-9e81422c8c71 · outbound

This paper cites Early- Learning Regularization Prevents Memorization of Noisy Labels.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification Early- Learning Regularization Prevents Memorization of Noisy Labels

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.312212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7fc476dc-cdd5-4c6b-8a4b-c8847ae2f64c · outbound

This paper cites A Novel Approach to the Unsupervised Extraction of Reliable Training Samples From Thematic Products.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification A Novel Approach to the Unsupervised Extraction of Reliable Training Samples From Thematic Products

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.323167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9ec58ddb-c2f6-46e3-8159-6630b1ebaf8f · outbound

This paper cites A Consensual Collaborative Learning Method for Remote Sensing Image Classification Under Noisy Multi-Labels.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification A Consensual Collaborative Learning Method for Remote Sensing Image Classification Under Noisy Multi-Labels

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.333838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8e3459d8-deed-4888-bab7-d82a0465042b · outbound

This paper cites Multi-Label Noise Ro- bust Collaborative Learning for Remote Sensing Image Classification.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification Multi-Label Noise Ro- bust Collaborative Learning for Remote Sensing Image Classification

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.358177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation da0d9f67-4670-47f9-b6ab-3c8a4fff7cd4 · outbound

This paper cites Learning Multi- Label Aerial Image Classification Under Label Noise: A Regularization Approach Using Word Embeddings.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification Learning Multi- Label Aerial Image Classification Under Label Noise: A Regularization Approach Using Word Embeddings

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.396369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8a849439-bbd4-402c-a74c-7c6ecde17a41 · outbound

This paper cites Deep Variational Information Bottleneck.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification Deep Variational Information Bottleneck

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.299809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a3b3fa1a-2ad9-4172-976a-a7cb1119aa05 · outbound

This paper cites Dist-PU: Positive- Unlabeled Learning From a Label Distribution Perspective.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification Dist-PU: Positive- Unlabeled Learning From a Label Distribution Perspective

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.304928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4658edd2-7b31-4ebc-a913-4ac6bed5452d · outbound

This paper cites AIO2: Online Correction of Object Labels for Deep Learning With Incomplete Annotation in Remote Sensing Image Segmentation.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification AIO2: Online Correction of Object Labels for Deep Learning With Incomplete Annotation in Remote Sensing Image Segmentation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.307307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 78a59bd7-2ef0-46b3-9dd3-fba9d3a6e170 · outbound

This paper cites A closer look at memorization in deep networks.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification A closer look at memorization in deep networks

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.328703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 84643da8-034e-4ee7-92ec-ea7dfe438ff4 · outbound

This paper cites Understand- ing deep learning (still) requires rethinking generalization.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification Understand- ing deep learning (still) requires rethinking generalization

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.389179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3dc08ea3-de56-4314-b807-19fbd72d133b · outbound

This paper cites A Novel Technique for Robust Training of Deep Networks With Multisource Weak Labeled Remote Sensing Data.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification A Novel Technique for Robust Training of Deep Networks With Multisource Weak Labeled Remote Sensing Data

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.366098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c7d29ba1-0707-468a-9c6f-f6650deaa4f5 · outbound

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

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification Mean teachers are better role mod- els: Weight-averaged consistency targets improve semi-supervised deep learning results

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.363433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 953ea0d0-e18e-4be8-acda-29c548688a71 · outbound

This paper cites Bigearthnet: A Large-Scale Benchmark Archive for Remote Sensing Image Understand- ing.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification Bigearthnet: A Large-Scale Benchmark Archive for Remote Sensing Image Understand- ing

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.291816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0a49e584-bb10-4741-af63-f3bc83085c71 · outbound

This paper cites BigEarthNet-MM: A Large-Scale, Multimodal, Mul- tilabel Benchmark Archive for Remote Sensing Image Classification and Retrieval [Software and Data Sets].

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification BigEarthNet-MM: A Large-Scale, Multimodal, Mul- tilabel Benchmark Archive for Remote Sensing Image Classification and Retrieval [Software and Data Sets]

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.294260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3a19971d-206e-4e12-9a82-7f3e21287e64 · outbound

This paper cites AID: A Benchmark Data Set for Performance Evaluation of Aerial Scene Classification.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification AID: A Benchmark Data Set for Performance Evaluation of Aerial Scene Classification

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.325927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c9508193-d1a2-4f29-a2cf-e42119ba6a36 · outbound

This paper cites RemoteCLIP: A Vision Language Foundation Model for Remote Sensing.

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification RemoteCLIP: A Vision Language Foundation Model for Remote Sensing

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T08:56:09.370725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers