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Paper Citation Record · LEDGER

End-to-End Object Detection with Transformers

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 73 inbound Pith citation observations for arXiv:2005.12872.

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

pith.paper-citation-record.v1
2005.12872 v3

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measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 73 of 73 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 73 of 73 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:00:14.373699Z

measured 0 of 1 external citation measurements

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Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

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Outbound references

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Pith citing papers

Observation 33cb2f8f-3063-40e0-9f42-1e64c7f1b2ed · inbound

Learning to Detect and Segment for Open Vocabulary Object Detection cites this paper.

Learning to Detect and Segment for Open Vocabulary Object Detection End-to-End Object Detection with Transformers

Reference 3

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arxiv_id, observed 2026-05-24T10:26:08.075288Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ce24fc80-4a48-4b62-8b8c-4c3e51d93b8a · inbound

Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware cites this paper.

Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware End-to-End Object Detection with Transformers

Reference 9

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arxiv_id, observed 2026-05-11T04:15:36.041836Z

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Observation 80a53b45-2c28-4b3b-87dc-38135bb50c2a · inbound

CCi-YOLOv8n: Enhanced Fire Detection with CARAFE and Context-Guided Modules cites this paper.

CCi-YOLOv8n: Enhanced Fire Detection with CARAFE and Context-Guided Modules End-to-End Object Detection with Transformers

Reference 27

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Observation 67da1013-de6b-4357-8873-1d1d83d596f8 · inbound

WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images cites this paper.

WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images End-to-End Object Detection with Transformers

Reference 15

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Observation 2b124d92-de63-46c7-ab5a-81ea799c14fb · inbound

TPCNet: Representation learning for HI mapping cites this paper.

TPCNet: Representation learning for HI mapping End-to-End Object Detection with Transformers

Reference 9

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source=arxiv_source observed=2026-08-12T16:39:03.563924Z digest=sha256:71f0f16a619a0cba642893639b92c41a99449ee3df9ed6c137506cad2af2601b

Observation d90d6419-ab09-473d-a019-cac61103796e · inbound

DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines cites this paper.

DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines End-to-End Object Detection with Transformers

Reference 21

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Observation 49014e02-c78d-4874-93de-353c55e45eb1 · inbound

A Real-Time DETR Approach to Bangladesh Road Object Detection for Autonomous Vehicles cites this paper.

A Real-Time DETR Approach to Bangladesh Road Object Detection for Autonomous Vehicles End-to-End Object Detection with Transformers

Reference 2

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source=arxiv_source observed=2026-08-12T14:31:06.939178Z digest=sha256:a30f7c9e5e1810a5e1312ef4d02852a6248808029a029b81b337c7c37e51ab5a

Observation 6d2e6071-af6b-4aed-9fb5-4c5e5f93ea0d · inbound

Panoptic Diffusion Models: co-generation of images and segmentation maps cites this paper.

Panoptic Diffusion Models: co-generation of images and segmentation maps End-to-End Object Detection with Transformers

Reference 8

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Observation a5a59903-4aa0-4c0d-84d0-8f5c520f5f02 · inbound

Understanding Transformer-based Vision Models through Inversion cites this paper.

Understanding Transformer-based Vision Models through Inversion End-to-End Object Detection with Transformers

Reference 5

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Observation d4c3f6a6-cc7f-4a8a-9368-7e9c07edeecd · inbound

Stable Mean Teacher for Semi-supervised Video Action Detection cites this paper.

Stable Mean Teacher for Semi-supervised Video Action Detection End-to-End Object Detection with Transformers

Reference 3

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Observation ee6d7217-eb11-4621-b802-6529dc4d5249 · inbound

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges cites this paper.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges End-to-End Object Detection with Transformers

Reference 39

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Observation f6f59ad0-6610-4672-af1b-dc68a737765c · inbound

DocFusion: A Unified Framework for Document Parsing Tasks cites this paper.

DocFusion: A Unified Framework for Document Parsing Tasks End-to-End Object Detection with Transformers

Reference 2020

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Observation 79028f6e-d639-4c9b-9871-f182c02a83ab · inbound

TabSniper: Towards Accurate Table Detection & Structure Recognition for Bank Statements cites this paper.

TabSniper: Towards Accurate Table Detection & Structure Recognition for Bank Statements End-to-End Object Detection with Transformers

Reference 3

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source=pdf_text observed=2026-08-11T13:43:55.611728Z digest=sha256:70aa800c371ad09531ad1bef5701f88821cb76cb60630201f09148d126bca84e

Observation ac0248fa-cf48-48ea-99dc-e321c342914d · inbound

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving cites this paper.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving End-to-End Object Detection with Transformers

Reference 6

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Observation 3979f508-145e-4e9d-bb31-df8be4b80109 · inbound

Unified Local and Global Attention Interaction Modeling for Vision Transformers cites this paper.

Unified Local and Global Attention Interaction Modeling for Vision Transformers End-to-End Object Detection with Transformers

Reference 3

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source=pdf_text observed=2026-08-11T04:34:02.085201Z digest=sha256:5517e00708ae633eb2f634716d8ef87b983044ff88a9184df4ce6375ed2d180c

Observation b9ebb039-5d0e-46ed-b1b0-eaee596f8ea9 · inbound

Survey on Question Answering over Visually Rich Documents: Methods, Challenges, and Trends cites this paper.

Survey on Question Answering over Visually Rich Documents: Methods, Challenges, and Trends End-to-End Object Detection with Transformers

Reference 13

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Observation b4cef0b4-0429-4d6a-b6f0-61c906830ebe · inbound

Image Segmentation with transformers: An Overview, Challenges and Future cites this paper.

Image Segmentation with transformers: An Overview, Challenges and Future End-to-End Object Detection with Transformers

Reference 22

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Observation 54ef0cd6-5ce9-426e-a75e-ef43865aa5e9 · inbound

Exploring Visual Embedding Spaces Induced by Vision Transformers for Online Auto Parts Marketplaces cites this paper.

Exploring Visual Embedding Spaces Induced by Vision Transformers for Online Auto Parts Marketplaces End-to-End Object Detection with Transformers

Reference 5

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Observation 168fa695-c794-4f5b-b366-bfaa0fbc628b · inbound

PLATTER: A Page-Level Handwritten Text Recognition System for Indic Scripts cites this paper.

PLATTER: A Page-Level Handwritten Text Recognition System for Indic Scripts End-to-End Object Detection with Transformers

Reference 6

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Observation 29d1745b-65dc-4883-80f5-0cfc12a9ac71 · inbound

ViSIR: Vision Transformer Single Image Reconstruction Method for Earth System Models cites this paper.

ViSIR: Vision Transformer Single Image Reconstruction Method for Earth System Models End-to-End Object Detection with Transformers

Reference 31

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Observation 0bad9e8b-6d96-4d95-aa80-b24c393336e8 · inbound

Transformers Provably Learn Sparse XOR with Polylogarithmic Parameters cites this paper.

Transformers Provably Learn Sparse XOR with Polylogarithmic Parameters End-to-End Object Detection with Transformers

Reference 5

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arxiv_id, observed 2026-05-23T03:25:20.517454Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 7df702e9-88e9-417e-bde7-4cf09e471ec1 · inbound

Locate 3D: Real-World Object Localization via Self-Supervised Learning in 3D cites this paper.

Locate 3D: Real-World Object Localization via Self-Supervised Learning in 3D End-to-End Object Detection with Transformers

Reference 8

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Observation 2fd989a6-5b2c-4644-9648-a428176bb117 · inbound

SuoiAI: Building a Dataset for Aquatic Invertebrates in Vietnam cites this paper.

SuoiAI: Building a Dataset for Aquatic Invertebrates in Vietnam End-to-End Object Detection with Transformers

Reference 5

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Observation 687e18b2-200d-4c17-8da0-67e5377f4f48 · inbound

A Few-Shot Metric Learning Method with Dual-Channel Attention for Cross-Modal Same-Neuron Identification cites this paper.

A Few-Shot Metric Learning Method with Dual-Channel Attention for Cross-Modal Same-Neuron Identification End-to-End Object Detection with Transformers

Reference 18

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Observation c91a1ab5-1f6b-4aa5-8a83-f9e9d6b808b5 · inbound

SparseMeXT Unlocking the Potential of Sparse Representations for HD Map Construction cites this paper.

SparseMeXT Unlocking the Potential of Sparse Representations for HD Map Construction End-to-End Object Detection with Transformers

Reference 16

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Observation 50832139-cf2d-474f-9aa6-d656a297b983 · inbound

Inferring Driving Maps by Deep Learning-based Trail Map Extraction cites this paper.

Inferring Driving Maps by Deep Learning-based Trail Map Extraction End-to-End Object Detection with Transformers

Reference 5

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Observation 6d3a2c34-fd32-4b0c-a84d-2f92adad4e50 · inbound

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding cites this paper.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding End-to-End Object Detection with Transformers

Reference 5

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Observation 761e8eb5-f0cc-4ef1-ba39-0a04e6438379 · inbound

Enhancing Channel-Independent Time Series Forecasting via Cross-Variate Patch Embedding cites this paper.

Enhancing Channel-Independent Time Series Forecasting via Cross-Variate Patch Embedding End-to-End Object Detection with Transformers

Reference 4

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Observation e47b33c4-1cca-46b6-9421-51e6d2aefc3f · inbound

Visual Product Graph: Bridging Visual Products And Composite Images For End-to-End Style Recommendations cites this paper.

Visual Product Graph: Bridging Visual Products And Composite Images For End-to-End Style Recommendations End-to-End Object Detection with Transformers

Reference 3

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Observation f022b47f-6c3d-4f40-a06e-c557064e2b9b · inbound

Query Nearby: Offset-Adjusted Mask2Former enhances small-organ segmentation cites this paper.

Query Nearby: Offset-Adjusted Mask2Former enhances small-organ segmentation End-to-End Object Detection with Transformers

Reference 1

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Observation 18533df8-f604-4838-8614-2ab6687b87f9 · inbound

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection cites this paper.

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection End-to-End Object Detection with Transformers

Reference 5

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Observation 4e8e43ca-c4c6-41b2-b50e-1d91d9bc6a09 · inbound

QUEST: Quality-aware Semi-supervised Table Extraction for Business Documents cites this paper.

QUEST: Quality-aware Semi-supervised Table Extraction for Business Documents End-to-End Object Detection with Transformers

Reference 4

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source=pdf_text observed=2026-08-15T19:56:29.175190Z digest=sha256:29b2c3b2f596bf4bdd36d996d37716ae4ee2c8fdaf67d442bcbeed4e67a2702b

Observation 96203c62-4e64-462e-8d81-15fe5492f741 · inbound

CALM: Contextual Analog Logic with Multimodality cites this paper.

CALM: Contextual Analog Logic with Multimodality End-to-End Object Detection with Transformers

Reference 4

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source=pdf_text observed=2026-08-07T00:16:17.234752Z digest=sha256:9b9c5f4d501e73aafa5b168d041de7e2e37bd7a3588c62dc1b9607e6408d690c

Observation 3c37867a-38a2-4e8b-a966-da188b9d658a · inbound

Improve Underwater Object Detection through YOLOv12 Architecture and Physics-informed Augmentation cites this paper.

Improve Underwater Object Detection through YOLOv12 Architecture and Physics-informed Augmentation End-to-End Object Detection with Transformers

Reference 21

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source=pdf_text observed=2026-08-06T21:43:59.708389Z digest=sha256:03b681759b9f2fae07e851746cc374d800a26456691a63631bcc44e6965f0094

Observation b2bb50a0-f8fb-459f-a112-d21f9d685217 · inbound

Contrasting Cognitive Styles in Vision-Language Models: Holistic Attention in Japanese Versus Analytical Focus in English cites this paper.

Contrasting Cognitive Styles in Vision-Language Models: Holistic Attention in Japanese Versus Analytical Focus in English End-to-End Object Detection with Transformers

Reference 5

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source=pdf_text observed=2026-08-06T21:15:07.616775Z digest=sha256:fa8938485fc0fce66f16bac52a034806cba997bf3f917f3d86af26b190c1de7e

Observation 079f17fb-9ec8-4507-8899-974583a648e0 · inbound

Screen2AX: Vision-Based Approach for Automatic macOS Accessibility Generation cites this paper.

Screen2AX: Vision-Based Approach for Automatic macOS Accessibility Generation End-to-End Object Detection with Transformers

Reference 2020

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source=pdf_text observed=2026-08-06T15:08:35.024380Z digest=sha256:dd41d8937b89af479f566280ecc05c21dcbc7a58b2c46b93fe02f76eed80cbe3

Observation f88fca8b-909b-4932-922b-79c78faa1d3b · inbound

Tracking Moose using Aerial Object Detection cites this paper.

Tracking Moose using Aerial Object Detection End-to-End Object Detection with Transformers

Reference 60

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:07:27.457164Z digest=sha256:c0cd6353b46687914571628734d2a3e11c15c2856919d9202b6b3efa9c5e6015

Observation aaa33093-e1c2-4af4-ac5b-6dbcc1ffcf3d · inbound

SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning cites this paper.

SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning End-to-End Object Detection with Transformers

Reference 16

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unresolved
no resolver link, observed 2026-08-05T22:03:09.596452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:03:09.596452Z digest=sha256:61ee97ce358411e4aec254d25c41b62b85a96b4ab8a075c016ea745f24400089

Observation a995bf32-cd5e-43da-b79b-7c51293ddcbe · inbound

Transformer-Based Neural Network for Transient Detection without Image Subtraction cites this paper.

Transformer-Based Neural Network for Transient Detection without Image Subtraction End-to-End Object Detection with Transformers

Reference 7

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unresolved
no resolver link, observed 2026-08-05T17:12:07.757835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:12:07.757835Z digest=sha256:1d565c15f3f39c2db47093734ee6fb170aa99a7c25bef26aab974c0de6a50852

Observation 657a58bd-626e-419a-9a94-c6fd7415f823 · inbound

TransForSeg: A Multitask Stereo ViT for Joint Stereo Segmentation and 3D Force Estimation in Catheterization cites this paper.

TransForSeg: A Multitask Stereo ViT for Joint Stereo Segmentation and 3D Force Estimation in Catheterization End-to-End Object Detection with Transformers

Reference 35

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unresolved
no resolver link, observed 2026-08-05T12:28:45.926783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:28:45.926783Z digest=sha256:a040a45a13ecf9b535ac22f2b022bf95cdf5f3ff46e05af1121b68dcb0ea7c46

Observation a69644e7-d4b9-463c-83b0-b75ae7671a88 · inbound

Benchmarking Table Extraction from Heterogeneous Scientific PDF Documents cites this paper.

Benchmarking Table Extraction from Heterogeneous Scientific PDF Documents End-to-End Object Detection with Transformers

Reference 6

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unresolved
no resolver link, observed 2026-08-03T21:19:22.532910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T21:19:22.532910Z digest=sha256:321a491f2ec6c03ae47c911ac67c3e44e68f5e84773c29b876930c1d93564412

Observation 96e4e6fe-f0a5-45a6-98f2-7df572385d8f · inbound

PokeNet: Learning Kinematic Models of Articulated Objects from Human Observations cites this paper.

PokeNet: Learning Kinematic Models of Articulated Objects from Human Observations End-to-End Object Detection with Transformers

Reference 27

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unresolved
no resolver link, observed 2026-08-03T05:19:09.309064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:19:09.309064Z digest=sha256:86f35c54c5a28215a52d8598fe92ffbfb67b3a89e29c4c9c1533ffc434ec3955

Observation 7ec8c0f8-5104-4e97-a66d-9d6aec7c47c9 · inbound

Steerable Vision-Language-Action Policies for Embodied Reasoning and Hierarchical Control cites this paper.

Steerable Vision-Language-Action Policies for Embodied Reasoning and Hierarchical Control End-to-End Object Detection with Transformers

Reference 51

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verified exact
arxiv_id, observed 2026-05-15T22:06:42.981000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T22:05:39.797848Z digest=sha256:10108ca171cecaecc9d9e03487dd1259b067c62f22cb14f3d5d83abb1b5d4fda

Observation 3a4d09ca-ead1-4f95-b8b0-26f8ad15303b · inbound

Specialization of softmax attention heads: insights from the high-dimensional single-location model cites this paper.

Specialization of softmax attention heads: insights from the high-dimensional single-location model End-to-End Object Detection with Transformers

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-02T19:04:56.446027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:04:56.446027Z digest=sha256:3e993e845a9f33de17693ac6121595a1f6c01e13f6738129b40a9a522d144661

Observation 6f18859a-1e26-4083-a13b-37301b6be727 · inbound

DeCo-DETR: Decoupled Cognition DETR for efficient Open-Vocabulary Object Detection cites this paper.

DeCo-DETR: Decoupled Cognition DETR for efficient Open-Vocabulary Object Detection End-to-End Object Detection with Transformers

Reference 3

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metadata mismatch
arxiv_id, observed 2026-05-13T20:33:16.720612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-13T20:30:16.163179Z digest=sha256:a83b7426806bc77db1d38f858aeee1acdd0da014c3d7f9094d92f569bd61374a

Observation 4c01f111-88c7-4f23-94cf-46c4b299eeb2 · inbound

DeCo-DETR: Decoupled Cognition DETR for efficient Open-Vocabulary Object Detection cites this paper.

DeCo-DETR: Decoupled Cognition DETR for efficient Open-Vocabulary Object Detection End-to-End Object Detection with Transformers

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T21:49:29.338217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T21:48:49.892964Z digest=sha256:9aa676765ead0f71bf36f2ce7fa8ef51318f8c727c670e0974cdea7e5bd9c061

Observation 0f0218af-1978-4c44-8ccc-7ddb15075df4 · inbound

LAA-X: Unified Localized Artifact Attention for Quality-Agnostic and Generalizable Face Forgery Detection cites this paper.

LAA-X: Unified Localized Artifact Attention for Quality-Agnostic and Generalizable Face Forgery Detection End-to-End Object Detection with Transformers

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:23:02.184682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-13T17:22:28.944874Z digest=sha256:4122f9fd7477198e929174cc5e38930c4af26eabdb810334cf9d2b5614c9448a

Observation 8bbc480c-c3ad-44b1-be3c-70865f3b77b9 · inbound

SARES-DEIM: Sparse Mixture-of-Experts Meets DETR for Robust SAR Ship Detection cites this paper.

SARES-DEIM: Sparse Mixture-of-Experts Meets DETR for Robust SAR Ship Detection End-to-End Object Detection with Transformers

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:08:01.049726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-13T17:03:04.479692Z digest=sha256:c40738026878cbb22be040162eb78e0223c4a4a483683baa477949529b16526e

Observation 4f680602-1061-4b52-a31f-c036ca23d048 · inbound

A Comparative Study of Modern Object Detectors for Robust Apple Detection in Orchard Imagery cites this paper.

A Comparative Study of Modern Object Detectors for Robust Apple Detection in Orchard Imagery End-to-End Object Detection with Transformers

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:56:03.705540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T16:22:50.124486Z digest=sha256:a6bfbce88d4abaac3acebcf2e0202079818eaf95d17b42c909da29bbdbaad815

Observation c58b6770-4e7f-4ac8-ae2d-f64c6181db0c · inbound

Improving Layout Representation Learning Across Inconsistently Annotated Datasets via Agentic Harmonization cites this paper.

Improving Layout Representation Learning Across Inconsistently Annotated Datasets via Agentic Harmonization End-to-End Object Detection with Transformers

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:50:58.303819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T16:28:16.315767Z digest=sha256:ac964bcefd71e45fff52e6d942ec20d6856f3e6e72418ae29a63c785c6a52557

Observation 341ab436-0ae8-4468-9053-76901b4737d6 · inbound

MapATM: Enhancing HD Map Construction through Actor Trajectory Modeling cites this paper.

MapATM: Enhancing HD Map Construction through Actor Trajectory Modeling End-to-End Object Detection with Transformers

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:11:04.624122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T16:11:05.685789Z digest=sha256:e70626816bc2edf13670c5c025036066d66c76d0e0b6e2a1a9edd802fd25842b

Observation 375e24e6-154a-4694-820c-d999080ed1bd · inbound

Learning Class Difficulty via Dynamic Focal Attention for Histopathology Segmentation cites this paper.

Learning Class Difficulty via Dynamic Focal Attention for Histopathology Segmentation End-to-End Object Detection with Transformers

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T12:55:24.657103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T12:52:45.275217Z digest=sha256:77d15de036d33f59c74a29685022f92069bfade104b5480e794bca43089cfb30

Observation 25923153-3bbd-46cb-ac63-9a8a0290abd3 · inbound

RareSpot+: A Benchmark, Model, and Active Learning Framework for Small and Rare Wildlife in Aerial Imagery cites this paper.

RareSpot+: A Benchmark, Model, and Active Learning Framework for Small and Rare Wildlife in Aerial Imagery End-to-End Object Detection with Transformers

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:06:04.103954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-10T02:23:12.772603Z digest=sha256:4e59604b17e02497ca24fca0f36710bb0d76447ae98b78ed8c3748bf709a2f59

Observation 39cdfbd2-f70a-4095-ae3a-520004017da6 · inbound

Predicting the thermodynamics in the chromosphere from the translation of SDO data into the IRIS$^{2}$ inversion results using a visual transformer model cites this paper.

Predicting the thermodynamics in the chromosphere from the translation of SDO data into the IRIS$^{2}$ inversion results using a visual transformer model End-to-End Object Detection with Transformers

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T21:18:24.683731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-09T21:17:24.132264Z digest=sha256:070af938a84ff403297e25d5e5c66cbc25aa898aadbbc04a7b7344fa102cb7d1

Observation 428daf05-c65c-41fa-b026-1b2aafb21118 · inbound

SynSur: An end-to-end generative pipeline for synthetic industrial surface defect generation and detection cites this paper.

SynSur: An end-to-end generative pipeline for synthetic industrial surface defect generation and detection End-to-End Object Detection with Transformers

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:51:25.150674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-07T13:37:07.162816Z digest=sha256:92c80cda48d244dc957be870b515e1e0e156db680c7b7489070fa85be8bf1c0c

Observation 723c9286-1d33-4b8a-ade1-c5d849eff487 · inbound

SynSur: An end-to-end generative pipeline for synthetic industrial surface defect generation and detection cites this paper.

SynSur: An end-to-end generative pipeline for synthetic industrial surface defect generation and detection End-to-End Object Detection with Transformers

Reference 8

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unresolved
no resolver link, observed 2026-08-02T15:16:30.309535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T15:16:30.309535Z digest=sha256:60b4826f2848e69539e16696f2cddc5ebd4d33a04a8ff775a00ba35753fcfe35

Observation 1737babf-73bd-4afb-b3fc-4983c6ba95c8 · inbound

Lucid-XR: An Extended-Reality Data Engine for Robotic Manipulation cites this paper.

Lucid-XR: An Extended-Reality Data Engine for Robotic Manipulation End-to-End Object Detection with Transformers

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:31:08.678954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-09T19:48:57.065807Z digest=sha256:50c9a864a3a23707897e0cba17f0d6a513b21eb5aa04d6cc15198d16372783c6

Observation 23098151-4286-45de-b164-2958f658f07f · inbound

AMAR: Lightweight Attention-Based Multi-User Activity Recognition from Wi-Fi CSI cites this paper.

AMAR: Lightweight Attention-Based Multi-User Activity Recognition from Wi-Fi CSI End-to-End Object Detection with Transformers

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-21T03:13:56.121758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-21T03:11:44.222945Z digest=sha256:969b7b664ac256ea1c5f91604cf7363cea5ee3d19b81e2a81689fab7eae73739

Observation 5e7f891d-2db2-445d-9a73-632422392837 · inbound

Phast: Simultaneous reconstruction of photoelectron count and time profiles from PMT waveforms via machine learning cites this paper.

Phast: Simultaneous reconstruction of photoelectron count and time profiles from PMT waveforms via machine learning End-to-End Object Detection with Transformers

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-06-29T00:22:51.700385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-29T00:13:58.671224Z digest=sha256:e8888b4d4e2e7d098a0afb2ac89a13ef438b034854bcdfde0395b8f5beec3733

Observation f051d6e9-ca42-4598-8a57-3079fa7419f7 · inbound

ReforMe: Re-Shaping Documents with Contextual Prompting and Layout-Aware Propagation cites this paper.

ReforMe: Re-Shaping Documents with Contextual Prompting and Layout-Aware Propagation End-to-End Object Detection with Transformers

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-02T04:56:38.964308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-28T08:43:27.671508Z digest=sha256:f07ed33f4a608993bd8dd842006d2d6f7830676098ead27bca356e0fbd66d446

Observation d97475e0-cd22-4134-b9d3-feaa4c21888d · inbound

A Machine Learning Framework for Real-Time Personalized Ergonomic Pose Analysis cites this paper.

A Machine Learning Framework for Real-Time Personalized Ergonomic Pose Analysis End-to-End Object Detection with Transformers

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-07-03T13:58:22.038571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-27T07:20:51.091284Z digest=sha256:4a7852fbf9be554a2a519691fb36f695849e7e5db023692ee17763d192002273

Observation 79a9be91-b5f0-4fa0-8ff6-109e56007452 · inbound

Better Queries, Cheaper Attention: Adapting Transformers for Efficient Sparse Reconstruction cites this paper.

Better Queries, Cheaper Attention: Adapting Transformers for Efficient Sparse Reconstruction End-to-End Object Detection with Transformers

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-03T23:29:02.666595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-26T22:13:20.858907Z digest=sha256:a4576b1bab5a6a2300ef90f641ed88cc491519184e9029f279c0f90415d2e28f

Observation 80c1c44e-75ca-4d82-957f-2254a3f98cb5 · inbound

Where Will They Go? Modelling Multimodal Pedestrian Manoeuvres from Ego-centric Videos cites this paper.

Where Will They Go? Modelling Multimodal Pedestrian Manoeuvres from Ego-centric Videos End-to-End Object Detection with Transformers

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-07-03T23:39:04.605802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-26T21:51:36.453123Z digest=sha256:eb59a3b487d6b0b1177594c34f44ffe728df3fed2c6981cd41cab6f6f082e1fd

Observation 63b00e01-c588-428b-b38c-7758ae78840a · inbound

Where Will They Go? Modelling Multimodal Pedestrian Manoeuvres from Ego-centric Videos cites this paper.

Where Will They Go? Modelling Multimodal Pedestrian Manoeuvres from Ego-centric Videos End-to-End Object Detection with Transformers

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-02T10:59:06.160914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:59:06.160914Z digest=sha256:7542a4dea7d366f46cca5df1313fbcba0ebe869e649aa5eb88f36b66265b9369

Observation 7442d2e0-11fd-4c5e-afb8-e72b9e1508f4 · inbound

Efficiently Linking Real Scenes with Synthetic Data Generation for AI-based Cognitive Robotics and Computer Vision Applications cites this paper.

Efficiently Linking Real Scenes with Synthetic Data Generation for AI-based Cognitive Robotics and Computer Vision Applications End-to-End Object Detection with Transformers

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-04T04:29:35.527971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-26T16:56:34.009246Z digest=sha256:408185b2443e06a409e04df59dc4c3adecad101e63ccd14232ed7ed7cf5a46b5

Observation 4a184be9-7c6c-402f-a2c8-4562dc02a315 · inbound

From Spatial to Spectral: An Efficient, Frequency-Guided Feature Representation Learner for Small Object Detection cites this paper.

From Spatial to Spectral: An Efficient, Frequency-Guided Feature Representation Learner for Small Object Detection End-to-End Object Detection with Transformers

Reference 48

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T10:19:47.859200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-26T08:55:27.386758Z digest=sha256:b302505736472580265d13ebd80ffd426ddbde77f82c99c4f7ed77806ad4a95e

Observation c633feb9-7310-49c8-8e7e-ab45d706bfc6 · inbound

Flow Matching in Feature Space for Stochastic World Modeling cites this paper.

Flow Matching in Feature Space for Stochastic World Modeling End-to-End Object Detection with Transformers

Reference 39

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T09:34:34.581401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-30T09:31:11.525648Z digest=sha256:0751f472a9eb61f4b744e70a3a567c8f9963848745a7faa8c9cbcf40c65f675e

Observation eff2aeea-8446-47d9-b1f4-91947eb1214a · inbound

GLACIER: Rethinking Mass Spectrum Prediction as an Object Detection Problem cites this paper.

GLACIER: Rethinking Mass Spectrum Prediction as an Object Detection Problem End-to-End Object Detection with Transformers

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-06-30T08:14:25.521832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-30T08:11:04.377613Z digest=sha256:c3df4d0c4b49d2e803eb2c40ac26536c76b6e0ac6e74c5839b278034af9bcf3a

Observation 9c302421-224d-4f7f-bc7a-05bc91c91e76 · inbound

Unlocking the Visual Record of Materials Science: A Large-Scale Multimodal Dataset from Scientific Literature cites this paper.

Unlocking the Visual Record of Materials Science: A Large-Scale Multimodal Dataset from Scientific Literature End-to-End Object Detection with Transformers

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-06-30T07:14:20.520833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-30T07:12:15.527943Z digest=sha256:3d74001f9f1ba9428b4bf90cc99a1ef4e9ec6ea03da98a5951a7f0bc6be39a1c

Observation d963e049-b90c-497f-850a-7c191164cfa1 · inbound

Signal from Space: Detecting Schools and Towers to Bridge the Digital Divide cites this paper.

Signal from Space: Detecting Schools and Towers to Bridge the Digital Divide End-to-End Object Detection with Transformers

Reference 18

Resolution
unresolved
no resolver link, observed 2026-07-12T07:30:23.480111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T07:30:23.480111Z digest=sha256:90b3d50ccf24400d03ba2cf523c16f7a4e4b4db1b148f8127b80d70bac34fcf5

Observation 526d84d4-efd3-4e9a-8eca-db653ca579af · inbound

Kepler-Encoder-v0.1: Towards a Multimodal Embedding Model for Robots cites this paper.

Kepler-Encoder-v0.1: Towards a Multimodal Embedding Model for Robots End-to-End Object Detection with Transformers

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-02T05:01:23.348456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:01:23.348456Z digest=sha256:01f40bf1182fa3184ce2dd036fae8b439dea679ed87629d00e4f8206d2883245

Observation 237108be-4598-40e4-ac30-f99485c656f3 · inbound

Small-Pollinator Detection in Cluttered Field Video cites this paper.

Small-Pollinator Detection in Cluttered Field Video End-to-End Object Detection with Transformers

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-01T04:13:05.849063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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FUSEP: A Multi-Center Benchmark for Diverse Tasks in Early Pregnancy Fetal Ultrasound Screening cites this paper.

FUSEP: A Multi-Center Benchmark for Diverse Tasks in Early Pregnancy Fetal Ultrasound Screening End-to-End Object Detection with Transformers

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