Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T23:41:10.937144Z
Paper Citation Record · LEDGER
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection
As of 15 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2412.20047.
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 2026-08-15T06:32:42.880941+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
51 of 51 outbound references displayed
- verified exact1
- verified fuzzy42
- unresolved8
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation d8769c42-74fd-4321-9ac1-c497e4c30cdd · outbound
This paper cites YOLOv4: Optimal Speed and Accuracy of Object Detection.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection YOLOv4: Optimal Speed and Accuracy of Object Detection
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:41:10.751916Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0792a604-642c-46e4-8fa0-6c642d98820e · outbound
This paper cites Cascade R-CNN: Delv- ing into High Quality Object Detection.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection Cascade R-CNN: Delv- ing into High Quality Object Detection
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:41:11.601829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation be908731-e2e4-476e-8240-d184070645cb · outbound
This paper cites End-to- End Object Detection with Transformers.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection End-to- End Object Detection with Transformers
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:41:11.592112Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6662402d-5d2d-476d-9cfe-e3d63594ecf1 · outbound
This paper cites Castro, Manuel J.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection Castro, Manuel J
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:41:11.580833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a7eace0e-6c50-43e0-9e58-08f78c9fca2c · outbound
This paper cites MMDetection: Open MMLab Detection Toolbox and Benchmark.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection MMDetection: Open MMLab Detection Toolbox and Benchmark
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:41:10.770513Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d8ba59c9-9e9b-4ab6-887b-30edf6db9b17 · outbound
This paper cites Dif- fusionDet: Diffusion Model for Object Detection.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection Dif- fusionDet: Diffusion Model for Object Detection
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:41:11.569382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 077eead0-1b3c-4825-83ac-fbf92fe467ec · outbound
This paper cites Mixed Pseudo Labels for Semi-Supervised Object Detection.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection Mixed Pseudo Labels for Semi-Supervised Object Detection
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:41:10.778363Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2e129b74-2200-4e4a-ae65-e4a042ef05ff · outbound
This paper cites Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:41:10.782502Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0dc7f9ea-0997-4110-8907-ef06cd6725c4 · outbound
This paper cites ImageNet: A Large-Scale Hierarchical Image Database.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection ImageNet: A Large-Scale Hierarchical Image Database
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:41:11.555164Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation bd4aeae8-fe86-472d-b657-9872d072a28b · outbound
This paper cites Improved Regularization of Convolutional Neural Networks with Cutout.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection Improved Regularization of Convolutional Neural Networks with Cutout
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:41:10.789863Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f6b63973-27e0-47e3-9f40-1d9dfa974dd7 · outbound
This paper cites Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:41:11.542445Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f215664b-e5bc-4255-8aa8-db91c27d08e3 · outbound
This paper cites Boosting Long-Tailed Object Detection via Step-Wise Learning on Smooth-Tail Data.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection Boosting Long-Tailed Object Detection via Step-Wise Learning on Smooth-Tail Data
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:41:11.531291Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2d618824-4176-4bb8-9074-c3861a14893d · outbound
This paper cites Williams, John Winn, and Andrew Zisserman.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection Williams, John Winn, and Andrew Zisserman
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:41:11.518959Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1a15df89-cfe2-457a-b115-c3a14e62653a · outbound
This paper cites Cubuk, Quoc V.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection Cubuk, Quoc V
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:41:11.506127Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6a37b53f-9b11-46ba-b20b-97d9e5973ad2 · outbound
This paper cites LVIS: A Dataset for Large V ocabulary Instance Segmentation.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection LVIS: A Dataset for Large V ocabulary Instance Segmentation
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:41:11.495688Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 435c483f-4da1-4c9a-84d2-52081c031cb3 · outbound
This paper cites Deep Residual Learning for Image Recognition.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection Deep Residual Learning for Image Recognition
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:41:10.811749Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 368aac61-d138-4e02-954d-e936edd391c4 · outbound
This paper cites Mask R-CNN.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection Mask R-CNN
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:41:11.477439Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 26c36c64-f781-483d-acb2-a97f793d6e6f · outbound
This paper cites The Devil is in the Tails: Fine-grained Classification in the Wild.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection The Devil is in the Tails: Fine-grained Classification in the Wild
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:41:10.817547Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2d642c4b-d0b4-42ae-885d-0a83efe5bf29 · outbound
This paper cites Learning to Segment the Tail.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection Learning to Segment the Tail
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:41:11.465465Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f64ae3f0-5056-4766-bca0-71ab430f04a2 · outbound
This paper cites Adaptive Hierarchical Representation Learning for Long-Tailed Object Detection.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection Adaptive Hierarchical Representation Learning for Long-Tailed Object Detection
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:41:11.454453Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 50f3278f-0819-49b0-9979-5ee116dfda65 · outbound
This paper cites Equalized Focal Loss for Dense Long-Tailed Object Detection.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection Equalized Focal Loss for Dense Long-Tailed Object Detection
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:41:11.442226Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6c4955a6-54d5-4ef0-9ed7-bbcc0ddb95af · outbound
This paper cites Lawrence Zitnick.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection Lawrence Zitnick
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:41:11.430537Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 02773a06-ccf9-4ec4-973f-34c396782449 · outbound
This paper cites Feature Pyramid Networks for Object Detection.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection Feature Pyramid Networks for Object Detection
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:41:11.418221Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5be33656-a67c-4709-b43b-e8f15e8d3140 · outbound
This paper cites Focal Loss for Dense Object Detection.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection Focal Loss for Dense Object Detection
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:41:11.406732Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a365aaee-7789-42f6-b37d-31cf5b6b65f9 · outbound
This paper cites MixTeacher: Mining Promising La- bels with Mixed Scale Teacher for Semi-Supervised Object Detection.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection MixTeacher: Mining Promising La- bels with Mixed Scale Teacher for Semi-Supervised Object Detection
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:41:11.396743Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7669e2db-48f4-4fdf-80c6-89387ada982b · outbound
This paper cites Swin Transformer: Hierarchical Vision Transformer using Shifted Windows.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:41:11.386414Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c5e44dfe-be3a-478f-a37e-639508bde685 · outbound
This paper cites Learning from Rich Semantics and Coarse Locations for Long-Tailed Object Detection.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection Learning from Rich Semantics and Coarse Locations for Long-Tailed Object Detection
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:41:11.374373Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c494e23a-7fca-4e2a-adbc-7b6b4da46a73 · outbound
This paper cites On Model Calibration for Long-Tailed Object Detection and Instance Segmentation.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection On Model Calibration for Long-Tailed Object Detection and Instance Segmentation
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:41:11.363009Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5eebee74-b271-45c4-923d-cbee854249fc · outbound
This paper cites PyTorch: An Imperative Style, High- Performance Deep Learning Library.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection PyTorch: An Imperative Style, High- Performance Deep Learning Library
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:41:11.351755Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a082822b-3c38-49e6-b948-e6baec69b90b · outbound
This paper cites Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:41:11.338992Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0b23db52-4ebf-45ab-b0be-4d182c387d5f · outbound
This paper cites an unresolved cited work.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection Unresolved cited work
Reference 31
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T23:41:11.327021Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7e62bf29-1b6f-43b4-a478-92ef5bae44f7 · outbound
This paper cites Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:41:11.315556Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation fc258423-4b5c-4ced-bd73-34ccead45278 · outbound
This paper cites Objects365: A Large-Scale, High-Quality Dataset for Object Detection.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection Objects365: A Large-Scale, High-Quality Dataset for Object Detection
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:41:11.304925Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2e686541-8982-4bd7-a820-182ef9f1572f · outbound
This paper cites Mean Teachers are Better Role Models: Weight-Averaged Consistency Targets Improve Semi-Supervised Deep Learning Results.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection Mean Teachers are Better Role Models: Weight-Averaged Consistency Targets Improve Semi-Supervised Deep Learning Results
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:41:11.293503Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1eb39481-da48-487c-867c-ff3c334be675 · outbound
This paper cites LEDetection: A Simple Framework for Semi- Supervised Few-Shot Object Detection.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection LEDetection: A Simple Framework for Semi- Supervised Few-Shot Object Detection
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:41:11.279203Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7997edb5-c518-452d-902a-179211721229 · outbound
This paper cites Seesaw Loss for Long- Tailed Instance Segmentation.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection Seesaw Loss for Long- Tailed Instance Segmentation
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:41:11.266318Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 277cc485-50e7-4849-9426-82c0d5a9317d · outbound
This paper cites The Devil is in Classification: A Simple Framework for Long-Tail Object Detection and Instance Segmentation.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection The Devil is in Classification: A Simple Framework for Long-Tail Object Detection and Instance Segmentation
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:41:11.253388Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 977a6f35-d238-4a35-a820-316a83d74f99 · outbound
This paper cites Huang, Trevor Darrell, Joseph E.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection Huang, Trevor Darrell, Joseph E
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:41:11.240236Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8f28dd60-3480-40ae-a94f-aab3ba9cff1b · outbound
This paper cites Learn- ing to Model the Tail.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection Learn- ing to Model the Tail
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:41:11.228663Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4a0c2b00-d4a8-4faa-be98-18bea3f83fd5 · outbound
This paper cites Large Scale In- cremental Learning.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection Large Scale In- cremental Learning
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:41:11.214935Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7a40ef86-e097-40dc-a2aa-7f095def9eda · outbound
This paper cites End-to- End Semi-Supervised Object Detection with Soft Teacher.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection End-to- End Semi-Supervised Object Detection with Soft Teacher
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:41:11.200035Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9c97e704-3270-4ddf-8550-80f05c1716ad · outbound
This paper cites Instance-Aware Repeat Factor Sampling for Long-Tailed Object Detection.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection Instance-Aware Repeat Factor Sampling for Long-Tailed Object Detection
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T23:41:10.975886Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e3936c61-2fda-451d-aa78-bae6f9fe7b2c · outbound
This paper cites FASA: Feature Augmentation and Sampling Adaptation for Long- Tailed Instance Segmentation.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection FASA: Feature Augmentation and Sampling Adaptation for Long- Tailed Instance Segmentation
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:41:11.184639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation bc2bb8df-b7a6-414c-9e28-08968c578364 · outbound
This paper cites Semi-Supervised and Long-Tailed Object Detection with CascadeMatch.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection Semi-Supervised and Long-Tailed Object Detection with CascadeMatch
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:41:11.170478Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 230f58c0-bc1c-4122-803f-60c9494dcd78 · outbound
This paper cites MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:41:11.145578Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 92b55daa-8d70-408c-bd00-556a2dbc7544 · outbound
This paper cites Dauphin, and David Lopez-Paz.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection Dauphin, and David Lopez-Paz
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:41:11.131065Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9ef8b0b0-c715-43f3-8018-923ff84b6eb6 · outbound
This paper cites Ni, and Heung-Yeung Shum.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection Ni, and Heung-Yeung Shum
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:41:11.117657Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation dea1f0b1-842d-4590-ac50-b6928a904431 · outbound
This paper cites Random Erasing Data Augmentation.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection Random Erasing Data Augmentation
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:41:11.105188Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5158a105-b4ab-4c27-8aab-897a6af2df2b · outbound
This paper cites Detecting Twenty-Thousand Classes Using Image-Level Supervision.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection Detecting Twenty-Thousand Classes Using Image-Level Supervision
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:41:11.090374Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation aa6f94ef-7241-4278-83b4-b8170c5d109d · outbound
This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection Deformable DETR: Deformable Transformers for End-to-End Object Detection
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:41:11.075144Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 41779f63-92c0-46ed-a3c9-cc5148c030a9 · outbound
This paper cites The Psycho-Biology of Language: An Introduction to Dynamic Philology.
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection The Psycho-Biology of Language: An Introduction to Dynamic Philology
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:41:11.061450Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Pith citing papers
No inbound Pith citation observations are available.