Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T04:21:28.205834Z
Paper Citation Record · LEDGER
Improving Object Detection by Modifying Synthetic Data with Explainable AI
As of 18 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 0 inbound Pith citation observations for arXiv:2412.01477.
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 2026-08-18T06:34:40.430872+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
77 of 77 outbound references displayed
- verified exact0
- verified fuzzy59
- unresolved17
- parse uncertain1
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 11bc3242-e8a5-4070-aed3-de94af7a42ae · outbound
This paper cites Generating Synthetic Data in Finance: Opportunities, Chal- lenges and Pitfalls.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Generating Synthetic Data in Finance: Opportunities, Chal- lenges and Pitfalls
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:30.171058Z
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 451c0f50-b9bc-4463-9bc8-738e8dc8f43e · outbound
This paper cites Bridging the Domain Gap Between Synthetic and Real-World Data for Autonomous Driving.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Bridging the Domain Gap Between Synthetic and Real-World Data for Autonomous Driving
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:30.146041Z
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 7f04087b-44d4-4435-a593-9c5bb3cfea09 · outbound
This paper cites Narrowing the Semantic Gap Between Real and Synthetic Data.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Narrowing the Semantic Gap Between Real and Synthetic Data
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:30.115774Z
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 cdc407a4-a053-4c2c-9cd9-3ca2b92b42de · outbound
This paper cites Mechanistic Inter- pretability for AI Safety - A Review.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Mechanistic Inter- pretability for AI Safety - A Review
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:30.083733Z
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 2e5d2d4c-1209-4b21-bbde-35d47dfd5f2d · outbound
This paper cites Unity Perception: Generate Synthetic Data for Computer Vision.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Unity Perception: Generate Synthetic Data for Computer Vision
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:21:27.745361Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ad7ac8ea-59d3-41d3-83a5-01178211de71 · outbound
This paper cites Advanced Automatic Target Recognition (ATR) with Infrared (IR) Sensors.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Advanced Automatic Target Recognition (ATR) with Infrared (IR) Sensors
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:30.042304Z
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 282caf8a-ef63-4d6a-98c0-3cd0bccac788 · outbound
This paper cites Stargan: Unified Gen- erative Adversarial Networks for Multi-domain Image-to- image Translation.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Stargan: Unified Gen- erative Adversarial Networks for Multi-domain Image-to- image Translation
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:30.019419Z
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 6c0f727e-6442-4bfe-b2ac-3aa4326eafff · outbound
This paper cites Next- Generation Deep Learning Based on Simulators and Syn- thetic Data.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Next- Generation Deep Learning Based on Simulators and Syn- thetic Data
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:29.989914Z
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 a3eafd6c-bd48-4e19-af0e-1719866e3a84 · outbound
This paper cites Exploring Synthetic Data for Ar- tificial Intelligence and Autonomous Systems: A Primer,.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Exploring Synthetic Data for Ar- tificial Intelligence and Autonomous Systems: A Primer,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:29.962834Z
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 717ea6cc-1766-4b80-a2b4-7e9f64730956 · outbound
This paper cites https://dsiac.org/databases/atr-algorithm- development-image-database/, 2014.
Improving Object Detection by Modifying Synthetic Data with Explainable AI https://dsiac.org/databases/atr-algorithm- development-image-database/, 2014
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:29.945369Z
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 6011c310-541e-45d0-b7c3-72b7c99f88c2 · outbound
This paper cites Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:21:27.778225Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5690386f-215b-4761-bc7e-bd0f0b30aff8 · outbound
This paper cites Adaptive Testing of Computer Vision Models.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Adaptive Testing of Computer Vision Models
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:29.913687Z
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 2cd1fe5d-7e45-4a3f-84b3-0adee5ef18c0 · outbound
This paper cites Harnessing the Power of Synthetic Data in Healthcare: Innovation, Application, and Privacy.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Harnessing the Power of Synthetic Data in Healthcare: Innovation, Application, and Privacy
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:29.868472Z
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 227f10df-2c2e-4cfd-ab03-f197694e7333 · outbound
This paper cites HaDR: Applying Domain Randomization for Gen- erating Synthetic Multimodal Dataset for Hand Instance Segmentation in Cluttered Industrial Environments.
Improving Object Detection by Modifying Synthetic Data with Explainable AI HaDR: Applying Domain Randomization for Gen- erating Synthetic Multimodal Dataset for Hand Instance Segmentation in Cluttered Industrial Environments
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:21:27.802231Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 71e85afc-8bac-4b6c-8604-b6e2adf33a33 · outbound
This paper cites Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:21:27.806715Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1fa2bd1b-bb18-465a-b991-cffd10f01433 · outbound
This paper cites an unresolved cited work.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T04:21:29.846688Z
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 da0f4d58-de2d-4363-b17c-b3dd40f954f4 · outbound
This paper cites Synthetic Data: Development Status and Prospects for Military Applications.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Synthetic Data: Development Status and Prospects for Military Applications
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:29.830732Z
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 60da9314-7eec-4662-b3a5-88811243c1e8 · outbound
This paper cites Image-to-image Translation with Conditional Adver- sarial Networks.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Image-to-image Translation with Conditional Adver- sarial Networks
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:29.813939Z
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 593ec48b-fff8-4b85-a42a-9f7acbdac55f · outbound
This paper cites an unresolved cited work.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T04:21:29.781256Z
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 56cc6e1f-7cac-4b69-b8e6-1c3237d6eb32 · outbound
This paper cites A Style- based Generator Architecture for Generative Adversarial 9 Networks.
Improving Object Detection by Modifying Synthetic Data with Explainable AI A Style- based Generator Architecture for Generative Adversarial 9 Networks
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:29.763073Z
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 dbbea6c1-19e4-4262-9262-b2b63a75f102 · outbound
This paper cites On Convergence and Stability of GANs.
Improving Object Detection by Modifying Synthetic Data with Explainable AI On Convergence and Stability of GANs
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:21:27.860908Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bc21b0d2-decb-446d-8fa3-f866a019f762 · outbound
This paper cites Closing the Domain Gap: Blended Synthetic imagery for climate object detection.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Closing the Domain Gap: Blended Synthetic imagery for climate object detection
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:29.739208Z
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 f02a3ffd-e333-40fd-87b2-e628378e7a4a · outbound
This paper cites Mode Collapse in Generative Adversarial Networks: An Overview.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Mode Collapse in Generative Adversarial Networks: An Overview
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:29.711821Z
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 f69abf5e-f8fd-40dc-a89f-97b44b235504 · outbound
This paper cites Applica- tions, challenges, and future directions of human-in-the-loop learning.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Applica- tions, challenges, and future directions of human-in-the-loop learning
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:29.694939Z
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 901cb9ea-6a60-4884-9203-9f2c23ba6b9d · outbound
This paper cites BSED: Baseline Shapley-Based Explainable Detector.
Improving Object Detection by Modifying Synthetic Data with Explainable AI BSED: Baseline Shapley-Based Explainable Detector
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:29.676706Z
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 ca82327a-371d-4911-b414-9b11b944fbf3 · outbound
This paper cites Zhang, Federica Sarro, Ying Zhang, and Xuanzhe Liu.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Zhang, Federica Sarro, Ying Zhang, and Xuanzhe Liu
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:29.659338Z
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 775b4070-9317-4dff-a88f-67c9bd55931f · outbound
This paper cites GLIGEN: Open-Set Grounded Text-to-Image Generation.
Improving Object Detection by Modifying Synthetic Data with Explainable AI GLIGEN: Open-Set Grounded Text-to-Image Generation
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:29.640493Z
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 ce94360e-b735-4e34-9535-f65454ea7f04 · outbound
This paper cites Lundberg and Su-In Lee.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Lundberg and Su-In Lee
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:29.621453Z
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 5d7bfd99-eae4-4fa3-b622-19ac1aa72f77 · outbound
This paper cites A Comparison of Target Detection Algorithms Using DSIAC ATR Algo- rithm Development Data Set.
Improving Object Detection by Modifying Synthetic Data with Explainable AI A Comparison of Target Detection Algorithms Using DSIAC ATR Algo- rithm Development Data Set
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:29.599858Z
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 e5d1d17d-d397-4ce6-9aa2-e9039ad15b8f · outbound
This paper cites The best of Two Worlds: Reprojecting 2D Image Annotations onto 3D Models.
Improving Object Detection by Modifying Synthetic Data with Explainable AI The best of Two Worlds: Reprojecting 2D Image Annotations onto 3D Models
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:29.579191Z
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 da90f6b7-0d09-42ee-9de8-297fc93ace4d · outbound
This paper cites The ETS2 Dataset, Synthetic Data from Video Games for Monocular Depth Estimation.
Improving Object Detection by Modifying Synthetic Data with Explainable AI The ETS2 Dataset, Synthetic Data from Video Games for Monocular Depth Estimation
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:29.548724Z
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 ba2cae2f-08a1-44ec-897c-9eb51cd8e477 · outbound
This paper cites Mitigating the Risk of Artificial Intelligence Bias in Cardiovascular Care.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Mitigating the Risk of Artificial Intelligence Bias in Cardiovascular Care
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:29.520371Z
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 3ead733b-7e2f-4d50-a33f-4429ec06ac0a · outbound
This paper cites Interpretable Machine Learning.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Interpretable Machine Learning
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:29.471819Z
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 ced9da1a-9a33-4006-8c42-2dc39ed94cd5 · outbound
This paper cites an unresolved cited work.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Unresolved cited work
Reference 34
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T04:21:29.447465Z
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 a1421c30-be76-4ee4-b05e-17a9c57d34a6 · outbound
This paper cites Analyzing DSIAC ATR Algorithm Development Database Utilizing Transfer Learning.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Analyzing DSIAC ATR Algorithm Development Database Utilizing Transfer Learning
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:29.426803Z
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 5b3e7b63-b823-448d-b649-d663d7337d14 · outbound
This paper cites an unresolved cited work.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Unresolved cited work
Reference 36
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T04:21:29.405211Z
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 93c7fb5c-08eb-486c-af98-14cf287d565e · outbound
This paper cites On Domain Randomization for Object De- tection in Real Industrial Scenarios Using Synthetic Images.
Improving Object Detection by Modifying Synthetic Data with Explainable AI On Domain Randomization for Object De- tection in Real Industrial Scenarios Using Synthetic Images
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:29.376666Z
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 da3bf578-6f50-412b-a5c6-8dc6c605e029 · outbound
This paper cites Priddy and Sastry Dhara.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Priddy and Sastry Dhara
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:29.355732Z
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 d07dc29b-3c81-43b4-ad7c-a1d9c26da186 · outbound
This paper cites https://unity.com/features/probuilder, 2018.
Improving Object Detection by Modifying Synthetic Data with Explainable AI https://unity.com/features/probuilder, 2018
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:29.335563Z
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 de1a7417-b547-4b1d-8030-4a53a1c79164 · outbound
This paper cites Unrealcv: Connecting Com- puter Vision to Unreal Engine.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Unrealcv: Connecting Com- puter Vision to Unreal Engine
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:29.313553Z
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 0d4e5f03-4449-4100-ad30-c4d43df278a3 · outbound
This paper cites Unrealcv: Vir- tual Worlds for Computer Vision.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Unrealcv: Vir- tual Worlds for Computer Vision
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:29.296587Z
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 eb6d5829-0995-4fa2-9322-783b8f1a5f8b · outbound
This paper cites Zero-shot Text-to-image Generation.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Zero-shot Text-to-image Generation
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:29.275073Z
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 2922af89-ef98-4d00-b276-2878c076fad5 · outbound
This paper cites SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization.
Improving Object Detection by Modifying Synthetic Data with Explainable AI SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:21:27.988941Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c83eaf5f-da8c-49b1-92af-26d915a87997 · outbound
This paper cites Adaptive testing and debugging of NLP models.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Adaptive testing and debugging of NLP models
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:29.253366Z
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 24d0b24a-9949-4b69-ab7b-12c983984efd · outbound
This paper cites Beyond accuracy: Behavioral testing of nlp models with checklist.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Beyond accuracy: Behavioral testing of nlp models with checklist
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:29.233357Z
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 9d0f4c89-de19-4906-aa5b-4f8f73c4159f · outbound
This paper cites High-resolution Image Synthesis with Latent Diffusion Models.
Improving Object Detection by Modifying Synthetic Data with Explainable AI High-resolution Image Synthesis with Latent Diffusion Models
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:29.192621Z
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 899bf70d-4ca5-4350-a00b-e1b5fe251927 · outbound
This paper cites Synthetic Data Generation with Unity 3D and Unreal Engine for Con- struction Hazard Scenarios: A Comparative Analysis.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Synthetic Data Generation with Unity 3D and Unreal Engine for Con- struction Hazard Scenarios: A Comparative Analysis
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:29.167852Z
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 f4a2048f-794b-4f7b-bc33-ae7074b6ad2f · outbound
This paper cites Seman- tic Foggy Scene Understanding with Synthetic Data.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Seman- tic Foggy Scene Understanding with Synthetic Data
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:29.138160Z
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 0d9a8dc2-91b2-425f-93de-19f45bae3a94 · outbound
This paper cites Nasrabadi, and Raghuveer M.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Nasrabadi, and Raghuveer M
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:29.120649Z
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 5b7db30f-96e7-4ee6-b9d8-6fbaae85c55f · outbound
This paper cites A Value for N-Person Games.
Improving Object Detection by Modifying Synthetic Data with Explainable AI A Value for N-Person Games
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:29.100022Z
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 6fbaa42d-eae6-4b0e-8865-39e2dd3678e0 · outbound
This paper cites Automatic Virtual 3D City Generation for Synthetic Data Collection.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Automatic Virtual 3D City Generation for Synthetic Data Collection
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:29.079542Z
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 a84b0c8b-450e-4b0a-b53c-ac60ea89d2b5 · outbound
This paper cites Rareplanes: Synthetic Data Takes Flight.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Rareplanes: Synthetic Data Takes Flight
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:29.061238Z
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 0a98a1e5-9af3-455c-a209-76c60943b819 · outbound
This paper cites Girshick.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Girshick
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:29.042524Z
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 d34f7841-2674-4027-84ae-ac101fba545c · outbound
This paper cites The Curse of Recursion: Training on Generated Data Makes Models Forget.
Improving Object Detection by Modifying Synthetic Data with Explainable AI The Curse of Recursion: Training on Generated Data Makes Models Forget
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:21:28.056196Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1f49af5c-1686-4929-ad60-09b346801611 · outbound
This paper cites The Rise of Synthetic Data: Enhancing AI and Machine Learning Model Training to Address Data Scarcity and Mitigate Privacy Risks.
Improving Object Detection by Modifying Synthetic Data with Explainable AI The Rise of Synthetic Data: Enhancing AI and Machine Learning Model Training to Address Data Scarcity and Mitigate Privacy Risks
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:29.023993Z
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 598602d1-fc4b-4463-9300-d1024d1ce51f · outbound
This paper cites Daniel Freeman, Theodore R.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Daniel Freeman, Theodore R
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:29.007571Z
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 3061b979-d100-4228-83fb-76738322623a · outbound
This paper cites Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:28.983508Z
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 8eafb941-cff4-475a-8994-673ce06ab20e · outbound
This paper cites https://unity.com/.
Improving Object Detection by Modifying Synthetic Data with Explainable AI https://unity.com/
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:28.967654Z
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 dc0b0e22-d4a7-4c51-90ce-f96c01173117 · outbound
This paper cites Yolov8: A novel object detection algorithm with enhanced performance and robust- ness.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Yolov8: A novel object detection algorithm with enhanced performance and robust- ness
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:28.947537Z
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 f4e89774-5f95-4c14-9e8c-8d149e1b1fec · outbound
This paper cites Learning from Synthetic Humans.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Learning from Synthetic Humans
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:28.932226Z
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 622ce436-c7fe-4b00-9827-056c200b3901 · outbound
This paper cites Wang, E.P.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Wang, E.P
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:28.906219Z
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 acd68d9e-a50b-4fdd-84a0-c8b04cbff3ab · outbound
This paper cites Bovik, H.R.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Bovik, H.R
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:28.889936Z
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 4d365dd0-5cf5-4974-ba60-6b9066adc2f2 · outbound
This paper cites Diffusion-GAN: Training GANs with Diffusion.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Diffusion-GAN: Training GANs with Diffusion
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:21:28.121374Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7c7f082a-6afb-41a7-8e4c-99af2b0eed99 · outbound
This paper cites Dis- covering bugs in vision models using off-the-shelf image generation and captioning.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Dis- covering bugs in vision models using off-the-shelf image generation and captioning
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:28.871161Z
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 02173675-46b9-4739-8c58-146d2a594d4b · outbound
This paper cites A survey of human-in-the-loop for machine learning.
Improving Object Detection by Modifying Synthetic Data with Explainable AI A survey of human-in-the-loop for machine learning
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:28.847545Z
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 4e77ddbb-7db7-4187-b3f6-acc880b99709 · outbound
This paper cites VarifocalNet: An IoU-aware Dense Object Detec- tor.
Improving Object Detection by Modifying Synthetic Data with Explainable AI VarifocalNet: An IoU-aware Dense Object Detec- tor
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:28.826466Z
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 8f58f0e5-dbab-4cfa-9078-e0072177441f · outbound
This paper cites Efros, Eli Shecht- man, and Oliver Wang.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Efros, Eli Shecht- man, and Oliver Wang
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:28.802692Z
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 4c93dad5-2104-41b0-a43a-14d06ce5df2b · outbound
This paper cites Unpaired Image-to-image Translation Using Cycle- Consistent Adversarial Networks.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Unpaired Image-to-image Translation Using Cycle- Consistent Adversarial Networks
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:28.784685Z
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 f91599b1-cb28-4a28-94b1-ae72e25a22d3 · outbound
This paper cites an unresolved cited work.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Unresolved cited work
Reference 70
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T04:21:28.766649Z
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 dba1fd18-8fc6-4793-a1e9-014a4f34e13c · outbound
This paper cites Example plots of SHAP contributions of pixels to out- puts of models trained on (a) real data only and (b) real + synthetic v0 (initial) data, for a single test image of a ZSU23.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Example plots of SHAP contributions of pixels to out- puts of models trained on (a) real data only and (b) real + synthetic v0 (initial) data, for a single test image of a ZSU23
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:28.733904Z
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 8fd4422b-65d6-45fd-a701-882e21207f29 · outbound
This paper cites an unresolved cited work.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Unresolved cited work
Reference 72
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T04:21:28.711301Z
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 d9711253-5f20-46f0-aac6-d21fb70ca845 · outbound
This paper cites an unresolved cited work.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Unresolved cited work
Reference 73
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T04:21:28.692173Z
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 e5fd9672-89ae-4e88-83ce-5e634452bc44 · outbound
This paper cites an unresolved cited work.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Unresolved cited work
Reference 74
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T04:21:28.667507Z
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 4b32aa7b-745c-4e36-84cd-b560a711a2a3 · outbound
This paper cites First, we consider the effect of the ratio of real and syn- thetic data for fixed dataset size.
Improving Object Detection by Modifying Synthetic Data with Explainable AI First, we consider the effect of the ratio of real and syn- thetic data for fixed dataset size
Reference 75
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:28.643354Z
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 55f1dfff-60b7-47e1-aca6-466ee62118b0 · outbound
This paper cites In this dataset we have a nat- ural dimension of variation (orientation of the vehicle), and so we do not need to cluster the samples to explore the di- mension of variation.
Improving Object Detection by Modifying Synthetic Data with Explainable AI In this dataset we have a nat- ural dimension of variation (orientation of the vehicle), and so we do not need to cluster the samples to explore the di- mension of variation
Reference 76
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:21:28.619557Z
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 94fbca3c-f0e2-4c49-94fe-780e4c611e4a · outbound
This paper cites an unresolved cited work.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Unresolved cited work
Reference 77
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T04:21:28.588963Z
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 5cd2d193-cce2-4424-9fbd-d5164393bac3 · outbound
This paper cites an unresolved cited work.
Improving Object Detection by Modifying Synthetic Data with Explainable AI Unresolved cited work
Reference 2023
- Resolution
- parse uncertain
- no resolver link, observed 2026-08-12T04:21:27.788276Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.