Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:44:11.320454Z
Paper Citation Record · LEDGER
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects
As of 10 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2506.09897.
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 2026-08-10T06:31:04.303077+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
54 of 54 outbound references displayed
- verified exact0
- verified fuzzy41
- unresolved12
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation b22e9a2d-f821-4a06-b907-5be3c9facafb · outbound
This paper cites Finding tiny faces in the wild with generative adversarial network, in: CVPR.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects Finding tiny faces in the wild with generative adversarial network, in: CVPR
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:44:24.751834Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b23b90b7-d5af-4ff3-95f8-f71cde41b1c9 · outbound
This paper cites Sod-mtgan: Small object detection via multi-task generative adversarial network, in: ECCV.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects Sod-mtgan: Small object detection via multi-task generative adversarial network, in: ECCV
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:44:24.158281Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 124198cb-55e8-450c-b0a8-df46d834ef2d · outbound
This paper cites Small object detection in re- mote sensing images with residual feature aggregation-based super- resolution and object detector network.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects Small object detection in re- mote sensing images with residual feature aggregation-based super- resolution and object detector network
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:44:23.890853Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 426e248d-1124-477a-8e82-76828f8c9ceb · outbound
This paper cites YOLOv4: Optimal Speed and Accuracy of Object Detection.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects YOLOv4: Optimal Speed and Accuracy of Object Detection
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:44:07.131146Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c33c983-7987-4ba5-ade7-a16c554ed306 · outbound
This paper cites Cascade r-cnn: Delving into high quality object detection, in: CVPR.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects Cascade r-cnn: Delving into high quality object detection, in: CVPR
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:44:23.621784Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d223e266-8409-4fd0-8629-723eb0da17e8 · outbound
This paper cites Visible and clear: Finding tiny objects in difference map, in: ECCV.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects Visible and clear: Finding tiny objects in difference map, in: ECCV
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:44:23.302175Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3d801b24-e17d-4fde-87d5-8821f41eb967 · outbound
This paper cites Visdrone-det2021:Thevisionmeetsdroneobjectdetectionchallenge results, in: 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), pp.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects Visdrone-det2021:Thevisionmeetsdroneobjectdetectionchallenge results, in: 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), pp
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:44:22.965858Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b6c3eb03-ce69-439c-b05e-0867e89bfc90 · outbound
This paper cites R-cnnforsmallobject detection, in: ACCV, pp.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects R-cnnforsmallobject detection, in: ACCV, pp
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:44:22.724674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9f6a2e96-4cd2-415d-a42d-8fe8b5f04234 · outbound
This paper cites MMDetection: Open MMLab Detection Toolbox and Benchmark.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects MMDetection: Open MMLab Detection Toolbox and Benchmark
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:44:07.485536Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cca84e4c-fd9d-4f59-b738-2340812aaee4 · outbound
This paper cites Object detection in aerial images: A large-scale benchmark and challenges.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects Object detection in aerial images: A large-scale benchmark and challenges
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:44:22.519243Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 07b502b5-c1db-41c1-b362-4d58f774e940 · outbound
This paper cites Visdrone-det2019: The vision meets drone object detection in image challenge results, in: Proceedings of the IEEE/CVF international conference on computer vision workshops, pp.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects Visdrone-det2019: The vision meets drone object detection in image challenge results, in: Proceedings of the IEEE/CVF international conference on computer vision workshops, pp
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:44:22.234562Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 059d31b9-49d3-4c70-9dcd-66cce1127b07 · outbound
This paper cites an unresolved cited work.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T04:44:22.009957Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 53edafda-7cb8-46eb-adc8-f3b3fbc330ac · outbound
This paper cites Fast r-cnn, in: ICCV.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects Fast r-cnn, in: ICCV
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:44:21.774432Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7178f612-b631-431a-9574-bea40627c15a · outbound
This paper cites IEEE transactions on circuits and systems for video technology 34, 221–234.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects IEEE transactions on circuits and systems for video technology 34, 221–234
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:44:21.525881Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 432760d4-28d1-4a6d-80de-8167017de5f9 · outbound
This paper cites Deep residual learning for image recognition, in: CVPR, pp.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects Deep residual learning for image recognition, in: CVPR, pp
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:44:21.309986Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f088a93f-6d69-41e7-862a-1b6444fdce15 · outbound
This paper cites an unresolved cited work.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T04:44:21.038421Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 69204058-8489-41ea-8a4f-da53b36aaf7b · outbound
This paper cites San: Learning relationship between convolutional features for multi-scale object detection, in: ProceedingsoftheEuropeanconferenceoncomputervision(ECCV), pp.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects San: Learning relationship between convolutional features for multi-scale object detection, in: ProceedingsoftheEuropeanconferenceoncomputervision(ECCV), pp
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:44:20.541388Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 38517301-084a-4381-a4fc-077ccbbf46fc · outbound
This paper cites an unresolved cited work.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T04:44:20.322858Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation cbbefbbc-c7e6-443c-a21d-2703574c5eb7 · outbound
This paper cites Foveabox: Beyoundanchor-basedobjectdetection.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects Foveabox: Beyoundanchor-basedobjectdetection
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:44:20.040817Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 60868e36-661b-4960-a3c7-b81131cace2d · outbound
This paper cites Cornernet: Detecting objects as paired keypoints, in: ECCV.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects Cornernet: Detecting objects as paired keypoints, in: ECCV
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:44:19.798163Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ac90c7c0-5e19-4f95-85ad-f367cc1115d6 · outbound
This paper cites Perceptual generativeadversarialnetworksforsmallobjectdetection,in:CVPR, pp.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects Perceptual generativeadversarialnetworksforsmallobjectdetection,in:CVPR, pp
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:44:19.537333Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3c251862-faba-4403-9410-4081c961a138 · outbound
This paper cites Perceptual generative adversarial networks for small object detection, in: Pro- ceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects Perceptual generative adversarial networks for small object detection, in: Pro- ceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:44:19.330339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 60e160b9-50c6-40d2-8f06-183f712d87a5 · outbound
This paper cites Scale-aware trident networks for object detection, in: ICCV.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects Scale-aware trident networks for object detection, in: ICCV
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:44:19.138206Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4745df59-c42a-4d08-bf8d-cff66e3b7ad3 · outbound
This paper cites Featurepyramidnetworksforobjectdetection,in:CVPR,pp.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects Featurepyramidnetworksforobjectdetection,in:CVPR,pp
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:44:18.940269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 42305dd9-ae03-479c-aaf5-4537b82b3d71 · outbound
This paper cites Focalloss for dense object detection, in: ICCV.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects Focalloss for dense object detection, in: ICCV
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:44:18.737156Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7543a1b3-49e8-4ca9-b87e-3f6c9bdd5927 · outbound
This paper cites Microsoft coco: Common objects in context, in: Computer vision–ECCV 2014: 13th European confer- ence,zurich,Switzerland,September6-12,2014,proceedings,partv 13, Springer.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects Microsoft coco: Common objects in context, in: Computer vision–ECCV 2014: 13th European confer- ence,zurich,Switzerland,September6-12,2014,proceedings,partv 13, Springer
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:44:18.525155Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation faa6be52-3828-4690-bc77-24e79e27ac56 · outbound
This paper cites Grid r-cnn, in: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects Grid r-cnn, in: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:44:18.295587Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ca6cbbd5-d805-4ef4-b540-4731e1061932 · outbound
This paper cites Pytorch:Animperativestyle,high-performancedeeplearninglibrary.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects Pytorch:Animperativestyle,high-performancedeeplearninglibrary
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:44:09.080257Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1ea6c5f3-a929-43d8-9508-f8d1c7461215 · outbound
This paper cites Detectors: Detecting objects withrecursivefeaturepyramidandswitchableatrousconvolution,in: CVPR.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects Detectors: Detecting objects withrecursivefeaturepyramidandswitchableatrousconvolution,in: CVPR
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:44:18.096353Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d104e3e0-3bdd-47dd-a180-3101b1cf48d7 · outbound
This paper cites Small-object detection in remote sensing images with end-to-end edge-enhancedganandobjectdetectornetwork.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects Small-object detection in remote sensing images with end-to-end edge-enhancedganandobjectdetectornetwork
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:44:17.967081Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0f6a6e18-9339-49dc-bfd4-cf609d57a740 · outbound
This paper cites You only look once: Unified, real-time object detection, in: CVPR.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects You only look once: Unified, real-time object detection, in: CVPR
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:44:17.842597Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f9bab587-f888-4f33-9559-624dd662402e · outbound
This paper cites YOLOv3: An Incremental Improvement.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects YOLOv3: An Incremental Improvement
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:44:09.392089Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a6efe92b-23c1-4b84-8685-5d6cd3a6e1e9 · outbound
This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks, in: NIPS.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects Faster r-cnn: Towards real-time object detection with region proposal networks, in: NIPS
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:44:17.716409Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation cac4f942-964c-403d-8bc4-3af50af0b28c · outbound
This paper cites Imagenet large scale visual recognition challenge.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects Imagenet large scale visual recognition challenge
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:44:17.412459Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e15e4e08-fcf1-4007-9c47-c2833350a526 · outbound
This paper cites Similarity distance- based label assignment for tiny object detection.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects Similarity distance- based label assignment for tiny object detection
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:44:16.988455Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e3ef923e-b3be-43a9-b3f0-3a1cc2125ed1 · outbound
This paper cites Ananalysisofscaleinvarianceinobject detection snip, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects Ananalysisofscaleinvarianceinobject detection snip, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:44:16.604871Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 865615e4-7c54-4730-9827-6393d07d0a46 · outbound
This paper cites Sniper:Efficientmulti-scale training.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects Sniper:Efficientmulti-scale training
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:44:16.234041Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 24a2b3ba-4117-4ae6-ac1c-699bcfdd270a · outbound
This paper cites Sparse r-cnn: End-to- end object detection with learnable proposals, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects Sparse r-cnn: End-to- end object detection with learnable proposals, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:44:15.854041Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7408647a-5ef9-46e9-92e0-ae6b160b0d3f · outbound
This paper cites Fcos: Fully convolutional one-stage object detection, in: ICCV.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects Fcos: Fully convolutional one-stage object detection, in: ICCV
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:44:15.494608Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a2f033dd-fc34-4cca-b78d-2a0c5b01c7be · outbound
This paper cites A Normalized Gaussian Wasserstein Distance for Tiny Object Detection.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects A Normalized Gaussian Wasserstein Distance for Tiny Object Detection
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:44:10.048804Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ade70d4b-1069-4aca-9af6-5120281ef386 · outbound
This paper cites Tinyobject detection in aerial images, in: 2020 25th international conference on pattern recognition (ICPR), IEEE.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects Tinyobject detection in aerial images, in: 2020 25th international conference on pattern recognition (ICPR), IEEE
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:44:15.100418Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 38ce2414-32c9-4d14-baa4-7d070fb3eac1 · outbound
This paper cites Fsanet: Feature-and-spatial- aligned network for tiny object detection in remote sensing images.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects Fsanet: Feature-and-spatial- aligned network for tiny object detection in remote sensing images
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:44:14.810420Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 61fdb136-4e7e-415c-9ddc-d8341c2efb5b · outbound
This paper cites ISPRS Journal of Photogrammetry and Remote Sensing 190, 79–93.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects ISPRS Journal of Photogrammetry and Remote Sensing 190, 79–93
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:44:14.539362Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1407ffc9-a12c-4001-91d4-00e1d9dbff40 · outbound
This paper cites ISPRS Journal of Photogrammetry and Remote Sensing 190, 79–93.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects ISPRS Journal of Photogrammetry and Remote Sensing 190, 79–93
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:44:14.106371Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5ed1ac4b-74e0-44d7-8b4d-60317f62396c · outbound
This paper cites Receptive field learning for tiny object detection, in: CVPR.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects Receptive field learning for tiny object detection, in: CVPR
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:44:13.756159Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3fb63cc3-63ae-49a3-876d-81864bf5fa1d · outbound
This paper cites Dotdistancefortinyobject detection in aerial images, in: CVPR, pp.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects Dotdistancefortinyobject detection in aerial images, in: CVPR, pp
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:44:13.391442Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b46ab88f-b4dc-45a1-8e11-40bef8d025e1 · outbound
This paper cites Reppoints: Point set representation for object detection, in: ICCV.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects Reppoints: Point set representation for object detection, in: ICCV
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:44:13.013594Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6bd5d294-de86-479d-b5af-0b6224cb22f8 · outbound
This paper cites Bridging the gap betweenanchor-basedandanchor-freedetectionviaadaptivetraining sample selection, in: CVPR.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects Bridging the gap betweenanchor-basedandanchor-freedetectionviaadaptivetraining sample selection, in: CVPR
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:44:12.639837Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b64e5445-9359-4f39-8053-c5ef9eae2dfd · outbound
This paper cites an unresolved cited work.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects Unresolved cited work
Reference 49
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T04:44:12.288909Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation fc66dff1-8bbc-49ac-89d7-d0676a88dd32 · outbound
This paper cites an unresolved cited work.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects Unresolved cited work
Reference 50
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T04:44:11.971853Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4f05e240-dc5b-45fa-8f8d-efb05356156b · outbound
This paper cites Tao Liu, Zhenchao Cui:Preprint submitted to ElsevierPage 8 of 8 CEM-FBGTinyDet Figure 1:Positive and negative sample distribution across FPN levels (P2-P6) in AI-TOD dataset.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects Tao Liu, Zhenchao Cui:Preprint submitted to ElsevierPage 8 of 8 CEM-FBGTinyDet Figure 1:Positive and negative sample distribution across FPN levels (P2-P6) in AI-TOD dataset
Reference 54
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-07T04:44:11.682159Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ec9c76c9-8461-418c-8dca-662f7deef64c · outbound
This paper cites IEEEtransactionsonintelligenttransportation systems 20, 1010–1019.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects IEEEtransactionsonintelligenttransportation systems 20, 1010–1019
Reference 2018
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:44:20.775008Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 77d00ea4-b7a2-4e50-9108-f41e1ad09bcb · outbound
This paper cites Augmentation for small object detection.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects Augmentation for small object detection
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:44:08.358876Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4ff1a77e-1d63-4289-bc0c-19e697e096a6 · outbound
This paper cites AutoAssign: Differentiable Label Assignment for Dense Object Detection.
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects AutoAssign: Differentiable Label Assignment for Dense Object Detection
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:44:10.980640Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.