Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-09T10:55:34.500069Z
Paper Citation Record · LEDGER
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images
As of 9 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2502.02850.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
58 of 58 outbound references displayed
- verified exact37
- verified fuzzy2
- unresolved17
- parse uncertain0
- malformed identifier1
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation d25b9257-966d-41d3-8c07-4d1d28be6b95 · outbound
This paper cites Land Cover Change Detection and Subsistence Farming Dynamics in the Fringes of Mount Elgon National Park, Uganda from 1978–2020.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images Land Cover Change Detection and Subsistence Farming Dynamics in the Fringes of Mount Elgon National Park, Uganda from 1978–2020
Reference 1
- Resolution
- verified exact
- doi, observed 2026-08-09T10:55:34.763710Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d77af05c-c72b-475b-b5ac-dfa97f9245af · outbound
This paper cites Estimation of Pb Content Using Reflectance Spectroscopy in Farmland Soil near Metal Mines, Central China.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images Estimation of Pb Content Using Reflectance Spectroscopy in Farmland Soil near Metal Mines, Central China
Reference 2
- Resolution
- verified exact
- doi, observed 2026-08-09T10:55:34.754628Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 06eebe8d-d42d-4c0e-a1a3-769d54e825b7 · outbound
This paper cites Dynamic Simulation of Land Use/Cover Change and Assessment of Forest Eco‐ system Carbon Storage under Climate Change Scenarios in Guangdong Province, China.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images Dynamic Simulation of Land Use/Cover Change and Assessment of Forest Eco‐ system Carbon Storage under Climate Change Scenarios in Guangdong Province, China
Reference 3
- Resolution
- verified exact
- doi, observed 2026-08-09T10:55:34.746065Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 52197706-59cb-4939-9b78-09455126ba36 · outbound
This paper cites an unresolved cited work.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images Unresolved cited work
Reference 4
- Resolution
- verified exact
- doi, observed 2026-08-09T10:55:34.737111Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation cc93d658-cc07-492f-8109-d8044fa7cda6 · outbound
This paper cites Characterizing the Patterns and Trends of Urban Growth in Saudi Arabia’s 13 Capital Cities Using a Landsat Time Series.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images Characterizing the Patterns and Trends of Urban Growth in Saudi Arabia’s 13 Capital Cities Using a Landsat Time Series
Reference 5
- Resolution
- verified exact
- doi, observed 2026-08-09T10:55:34.727693Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0dff966b-6bcb-4da6-b9f9-4ea65c2d5e91 · outbound
This paper cites Remote Sensing of Global Sea Surface pH Based on Massive Un‐ derway Data and Machine Learning.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images Remote Sensing of Global Sea Surface pH Based on Massive Un‐ derway Data and Machine Learning
Reference 6
- Resolution
- verified exact
- doi, observed 2026-08-09T10:55:34.718145Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e6517ddf-5a5e-44b8-acd5-a98f31809d9d · outbound
This paper cites Effect of Assimilating SMAP Soil Moisture on CO 2 and CH 4 Fluxes through Direct Insertion in a Land Surface Model.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images Effect of Assimilating SMAP Soil Moisture on CO 2 and CH 4 Fluxes through Direct Insertion in a Land Surface Model
Reference 7
- Resolution
- verified exact
- doi, observed 2026-08-09T10:55:34.706495Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 48d1df68-1f27-4963-81a2-0c3cd5cea424 · outbound
This paper cites Bubble Plume Target Detection Method of Multibeam Water Column Images Based on Bags of Visu‐ al Word Features.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images Bubble Plume Target Detection Method of Multibeam Water Column Images Based on Bags of Visu‐ al Word Features
Reference 8
- Resolution
- verified exact
- doi, observed 2026-08-09T10:55:34.696237Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ceb04075-adc6-40f7-9f2f-39358a8fdda3 · outbound
This paper cites Study of the Automatic Recognition of Landslides by Using InSAR Images and the Improved Mask R‐CNN Model in the Eastern Tibet Plateau.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images Study of the Automatic Recognition of Landslides by Using InSAR Images and the Improved Mask R‐CNN Model in the Eastern Tibet Plateau
Reference 9
- Resolution
- verified exact
- doi, observed 2026-08-09T10:55:34.686013Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 32814450-1d05-4179-a64c-6eea73556648 · outbound
This paper cites Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmenta‐ tion.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmenta‐ tion
Reference 10
- Resolution
- verified exact
- raw_fallback, observed 2026-08-09T10:55:36.253297Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a2b2ecb6-46cc-4b6f-b644-8f2724d9b31c · outbound
This paper cites Fast R‐CNN.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images Fast R‐CNN
Reference 11
- Resolution
- verified exact
- raw_fallback, observed 2026-08-09T10:55:36.178332Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 86293688-09fc-452a-aa85-b9c63ebf8d25 · outbound
This paper cites Faster R‐CNN:Towards real‐time object detection with region proposal networks.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images Faster R‐CNN:Towards real‐time object detection with region proposal networks
Reference 12
- Resolution
- verified exact
- raw_fallback, observed 2026-08-09T10:55:36.109212Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6f340dc6-2bff-49b5-b5b2-50b5ff215b47 · outbound
This paper cites DSSD : Deconvolutional Single Shot Detector.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images DSSD : Deconvolutional Single Shot Detector
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T10:55:34.353501Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca227117-56aa-4248-839d-2cf79089537f · outbound
This paper cites You only look once: Unified, real‐time object detection.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images You only look once: Unified, real‐time object detection
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T10:55:34.357254Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2cae1af8-67d8-48ce-ab4e-8015469b499c · outbound
This paper cites Yolo9000: Better, faster,stronger.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images Yolo9000: Better, faster,stronger
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T10:55:34.360287Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac0ed58e-5b8c-4bbd-bc3a-fd27bd24702b · outbound
This paper cites YOLOv3: An Incremental Improvement.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images YOLOv3: An Incremental Improvement
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T10:55:34.363468Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 19d9765c-a56c-4d98-9f74-c5a7fa138b5c · outbound
This paper cites YOLOv4: Optimal Speed and Accuracy of Object Detection.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images YOLOv4: Optimal Speed and Accuracy of Object Detection
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T10:55:34.367077Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c2da9c42-bf32-4f60-b034-8a89b422e486 · outbound
This paper cites an unresolved cited work.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-08-09T10:55:36.286534Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8b76eb84-06e3-4473-8ea1-70d3e4e6b7f7 · outbound
This paper cites YOLOX: Exceeding YOLO Series in 2021.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images YOLOX: Exceeding YOLO Series in 2021
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T10:55:34.374363Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 555e85f8-7e2f-4c4b-af1f-0ec0e3013074 · outbound
This paper cites An Improved Faster R‐CNN Method to Detect Tailings Ponds from High‐Resolution Remote Sensing Images.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images An Improved Faster R‐CNN Method to Detect Tailings Ponds from High‐Resolution Remote Sensing Images
Reference 21
- Resolution
- verified exact
- doi, observed 2026-08-09T10:55:34.650314Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation cb116de8-0415-4179-a5a0-c720fee617d1 · outbound
This paper cites Mapping Fire Susceptibility in the Brazilian Ama‐ zon Forests Using Multitemporal Remote Sensing and Time‐Varying Unsupervised Anomaly Detection.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images Mapping Fire Susceptibility in the Brazilian Ama‐ zon Forests Using Multitemporal Remote Sensing and Time‐Varying Unsupervised Anomaly Detection
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T10:55:36.275875Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation cd561411-cbb2-44ed-bf1d-6810511a81d8 · outbound
This paper cites You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite Imagery.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite Imagery
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T10:55:34.387513Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c43a478d-6691-4822-a4c9-725a62638283 · outbound
This paper cites Remote sensing images object detection based on YOLOv5.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images Remote sensing images object detection based on YOLOv5
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T10:55:36.265037Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 91efa18e-965b-48f8-aa75-7175325d4f2f · outbound
This paper cites Spatial Transformer Networks.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images Spatial Transformer Networks
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T10:55:34.394047Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c61a2c3d-5aba-4354-bde1-2e9f408e9c8c · outbound
This paper cites Squeeze‐and‐Excitation Networks.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images Squeeze‐and‐Excitation Networks
Reference 26
- Resolution
- verified exact
- raw_fallback, observed 2026-08-09T10:55:35.846575Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 3e48280d-aaa0-4f4f-a915-4e60ffe6958f · outbound
This paper cites CBAM: Convolutional block attention module.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images CBAM: Convolutional block attention module
Reference 27
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-09T10:55:34.400759Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ce72b248-8bcf-44e6-b4c0-e0be434572e3 · outbound
This paper cites One‐Stage Disease Detection Method for Maize Leaf Based on Multi‐Scale Feature Fusion.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images One‐Stage Disease Detection Method for Maize Leaf Based on Multi‐Scale Feature Fusion
Reference 28
- Resolution
- verified exact
- doi, observed 2026-08-09T10:55:34.619618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 621bcad4-2c23-403c-a78a-d32415d45366 · outbound
This paper cites Human Action Recognition Based on Improved Two‐Stream Convolution Network.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images Human Action Recognition Based on Improved Two‐Stream Convolution Network
Reference 29
- Resolution
- verified exact
- doi, observed 2026-08-09T10:55:34.608038Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation acfe4da2-f83b-46dc-88df-2422cab4d162 · outbound
This paper cites Cervical Cell Segmentation Method Based on Global Dependency and Local Atten‐ tion.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images Cervical Cell Segmentation Method Based on Global Dependency and Local Atten‐ tion
Reference 30
- Resolution
- verified exact
- doi, observed 2026-08-09T10:55:34.597043Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 86bfead6-b570-42f4-a79c-f2df92ed0ed9 · outbound
This paper cites Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
Reference 31
- Resolution
- verified exact
- local_arxiv, observed 2026-08-09T10:55:35.773762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 33696053-5718-44f7-9df7-babe47d2c336 · outbound
This paper cites Path aggregation network for instance segmentation.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images Path aggregation network for instance segmentation
Reference 32
- Resolution
- verified exact
- raw_fallback, observed 2026-08-09T10:55:35.759494Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ecee3502-1035-49e7-8cde-788bff92b92f · outbound
This paper cites Fcos:Fully convolutional one‐stage object detection.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images Fcos:Fully convolutional one‐stage object detection
Reference 33
- Resolution
- verified exact
- raw_fallback, observed 2026-08-09T10:55:35.688561Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f9b3e04b-fc44-4c2b-85f2-241ad1a3fea2 · outbound
This paper cites CornerNet: Detecting Objects as Paired Keypoints.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images CornerNet: Detecting Objects as Paired Keypoints
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T10:55:34.420408Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ead8e3dc-1763-407d-86af-b034d729cdf6 · outbound
This paper cites What Makes for End-to-End Object Detection?.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images What Makes for End-to-End Object Detection?
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-08-09T10:55:34.579351Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e28229e1-3208-4b67-983a-12732fc18f94 · outbound
This paper cites Revisiting the Sibling Head in Object Detector.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images Revisiting the Sibling Head in Object Detector
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-08-09T10:55:34.565792Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0c1ad13b-2b9c-4983-b467-9c7a92487fdc · outbound
This paper cites ECA‐Net: Efficient Channel Attention for Deep Convolutional Neural Net‐ works.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images ECA‐Net: Efficient Channel Attention for Deep Convolutional Neural Net‐ works
Reference 37
- Resolution
- verified exact
- raw_fallback, observed 2026-08-09T10:55:35.609029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 64c233f7-b10d-42c9-9dfb-49a31601c0e6 · outbound
This paper cites Learning Spatial Fusion for Single-Shot Object Detection.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images Learning Spatial Fusion for Single-Shot Object Detection
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T10:55:34.433316Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b23a684c-1213-4294-a572-7a8f7e4f86af · outbound
This paper cites VarifocalNet: An IoU‐aware Dense Object Detector.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images VarifocalNet: An IoU‐aware Dense Object Detector
Reference 39
- Resolution
- verified exact
- raw_fallback, observed 2026-08-09T10:55:35.525405Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0dd88821-5002-46a4-b37e-d9641cb1164c · outbound
This paper cites Slicing Aided Hyper Inference and Fine-tuning for Small Object Detection.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images Slicing Aided Hyper Inference and Fine-tuning for Small Object Detection
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T10:55:34.439737Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation efd81a91-d81a-49a5-afd6-5628c5ec9be3 · outbound
This paper cites Focal Loss for Dense Object Detection.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images Focal Loss for Dense Object Detection
Reference 41
- Resolution
- verified exact
- raw_fallback, observed 2026-08-09T10:55:35.451770Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8ebd1813-0a40-4a21-9353-d483d5593609 · outbound
This paper cites DOTA: A Large‐scale Dataset for Object Detection in Aerial Images.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images DOTA: A Large‐scale Dataset for Object Detection in Aerial Images
Reference 42
- Resolution
- verified exact
- raw_fallback, observed 2026-08-09T10:55:35.392927Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 83011fa4-0bb3-4117-8a91-b7f53cfbe1c9 · outbound
This paper cites Learning RoI Transformer for Oriented Object Detection in Aerial Images.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images Learning RoI Transformer for Oriented Object Detection in Aerial Images
Reference 43
- Resolution
- verified exact
- raw_fallback, observed 2026-08-09T10:55:35.316738Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0341b3a2-e7ca-4e8c-9557-12d1cc0b2a46 · outbound
This paper cites Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges
Reference 44
- Resolution
- verified exact
- local_arxiv, observed 2026-08-09T10:55:35.253505Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8ff525cd-f34d-4782-8225-6a85e41d2854 · outbound
This paper cites Yuan, Y.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images Yuan, Y
Reference 45
- Resolution
- verified exact
- raw_fallback, observed 2026-08-09T10:55:35.240057Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d6855df5-48a2-436c-9c89-2cf39060a476 · outbound
This paper cites Yuan, Y.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images Yuan, Y
Reference 46
- Resolution
- verified exact
- raw_fallback, observed 2026-08-09T10:55:35.165837Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation edeb0fd1-b29a-4d4c-9ad8-841c20aa7475 · outbound
This paper cites Gong, Y.; Xiao, Z.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images Gong, Y.; Xiao, Z
Reference 47
- Resolution
- verified exact
- raw_fallback, observed 2026-08-09T10:55:35.106338Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 703221d7-300d-4871-9382-faad364ba100 · outbound
This paper cites Elliptic Fourier transformation‐based histograms of oriented gradients for rotationally in‐ variant object detection in remote‐sensing images.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images Elliptic Fourier transformation‐based histograms of oriented gradients for rotationally in‐ variant object detection in remote‐sensing images
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T10:55:34.465420Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09bc2fca-4351-4a22-a357-ce852c074c6a · outbound
This paper cites NAM: Normalization-based Attention Module.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images NAM: Normalization-based Attention Module
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T10:55:34.468643Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 02fdb38d-2757-47e4-b363-c788d7f83d9a · outbound
This paper cites ULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural Networks.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images ULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural Networks
Reference 50
- Resolution
- verified exact
- local_arxiv, observed 2026-08-09T10:55:34.961112Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d0fa6a97-670e-4172-8b8c-ea5ffb619ff4 · outbound
This paper cites Change Detection for High‐Resolution Remote Sensing Images Based on a Multi‐Scale Attention Siamese Network.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images Change Detection for High‐Resolution Remote Sensing Images Based on a Multi‐Scale Attention Siamese Network
Reference 51
- Resolution
- verified exact
- doi, observed 2026-08-09T10:55:34.551280Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ceb0b70a-b688-4ba5-8cbf-3e369206f83e · outbound
This paper cites A Spatial–Spectral Joint Attention Network for Change Detection in Multispec‐ tral Imagery.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images A Spatial–Spectral Joint Attention Network for Change Detection in Multispec‐ tral Imagery
Reference 52
- Resolution
- verified exact
- doi, observed 2026-08-09T10:55:34.541348Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 94193f86-0864-4f59-9883-8f2322b95bfb · outbound
This paper cites Pitaya detection in orchards using the MobileNet‐YOLO model.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images Pitaya detection in orchards using the MobileNet‐YOLO model
Reference 53
- Resolution
- verified exact
- raw_fallback, observed 2026-08-09T10:55:34.946200Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 742b13ab-7fb9-4502-91ca-53579e1c6420 · outbound
This paper cites Remote Sensing Image Target Detection: Improvement of the YOLOv3 Model with Auxiliary Net‐ works.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images Remote Sensing Image Target Detection: Improvement of the YOLOv3 Model with Auxiliary Net‐ works
Reference 54
- Resolution
- verified exact
- doi, observed 2026-08-09T10:55:34.530708Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a81bf7d5-dee5-49fb-a23a-01d1ec95fdc3 · outbound
This paper cites Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T10:55:34.488339Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5f034aec-e3f5-4a10-8fa3-e2261d1a3f77 · outbound
This paper cites Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T10:55:34.492091Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 55e7fad5-a895-4c64-a188-c417db0ba760 · outbound
This paper cites SIoU Loss: More Powerful Learning for Bounding Box Regression.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images SIoU Loss: More Powerful Learning for Bounding Box Regression
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T10:55:34.496095Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e8125c5-0380-4d81-b778-eddc7c6fb7e3 · outbound
This paper cites Potentials of Low‐Budget Microdrones: Processing 3D Point Clouds and Images for Representing Post‐Industrial Landmarks in Immersive Virtual Environments.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images Potentials of Low‐Budget Microdrones: Processing 3D Point Clouds and Images for Representing Post‐Industrial Landmarks in Immersive Virtual Environments
Reference 58
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-09T10:55:34.842710Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6af6eca5-8bc6-4850-8c6c-d015911021b0 · outbound
This paper cites an unresolved cited work.
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images Unresolved cited work
Reference 2429
- Resolution
- verified exact
- doi, observed 2026-08-09T10:55:34.640000Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Pith citing papers
No inbound Pith citation observations are available.