Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T20:44:50.216499Z
Paper Citation Record · LEDGER
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction
As of 16 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2411.09453.
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 2026-08-16T06:30:59.297886+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
65 of 65 outbound references displayed
- verified exact1
- verified fuzzy55
- unresolved9
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 5499e0fd-d72c-41a8-8cfe-7c7e95dcc2bd · outbound
This paper cites DETReg: Unsupervised pretraining with region priors for object detection.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction DETReg: Unsupervised pretraining with region priors for object detection
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:51.884411Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ff37da67-598c-4117-8b86-29b5db981143 · outbound
This paper cites Unsu- pervised learning of visual features by contrasting cluster assignments.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Unsu- pervised learning of visual features by contrasting cluster assignments
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:51.855417Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1ea52b99-6f01-49bc-83d4-7a8a740d356f · outbound
This paper cites MMDetection: Open MMLab Detection Toolbox and Benchmark.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction MMDetection: Open MMLab Detection Toolbox and Benchmark
Reference 3
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bec7e1cb-cc47-4cab-b9e5-47cb0bed2860 · outbound
This paper cites Big Self-Supervised Models are Strong Semi-Supervised Learners.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Big Self-Supervised Models are Strong Semi-Supervised Learners
Reference 4
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b028e962-2747-4b83-837d-29c09ec33651 · outbound
This paper cites Improved Baselines with Momentum Contrastive Learning.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Improved Baselines with Momentum Contrastive Learning
Reference 5
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3fbb1fcf-8f00-4998-b714-a7aa446ed0d8 · outbound
This paper cites Siamese DETR.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Siamese DETR
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:51.820525Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3ab2e7db-8308-4a63-8203-867ecc095c53 · outbound
This paper cites UP-DETR: Unsupervised pre-training for object detection with transformers.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction UP-DETR: Unsupervised pre-training for object detection with transformers
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:51.793369Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1dcd87b9-4aab-48ff-ad3a-24d4a2dcad70 · outbound
This paper cites ImageNet: A large-scale hierarchical image database.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction ImageNet: A large-scale hierarchical image database
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:51.764985Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0c8bb856-f8ac-40ca-9d45-7a25bb414c16 · outbound
This paper cites Exploring classification equilibrium in long-tailed object detection.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Exploring classification equilibrium in long-tailed object detection
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:51.715509Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 062d9ac1-acf7-466a-8c09-efdd0ae1e134 · outbound
This paper cites Bootstrap your own latent - a new approach to self- supervised learning.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Bootstrap your own latent - a new approach to self- supervised learning
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:51.686980Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 575d3ee0-adca-4bbf-98b1-e33efe0bc1d6 · outbound
This paper cites LVIS: A dataset for large vocabulary instance segmentation.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction LVIS: A dataset for large vocabulary instance segmentation
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:51.663706Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ff1a40ce-52f6-4bbd-a203-0c049430b577 · outbound
This paper cites Masked autoencoders are scalable vision learners.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Masked autoencoders are scalable vision learners
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:51.639358Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4b7d6f72-bd6f-40f2-ace6-8dbcc3bcb0eb · outbound
This paper cites Momentum contrast for unsupervised visual representation learning.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Momentum contrast for unsupervised visual representation learning
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:51.612455Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0d8d7b83-f8e1-428f-89a8-32a0c476ddc5 · outbound
This paper cites Mask R-CNN.
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:51.589285Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 60802ebc-4544-475e-adce-e1f6dd105cfc · outbound
This paper cites Spatial pyramid pooling in deep convolutional networks for visual recognition.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Spatial pyramid pooling in deep convolutional networks for visual recognition
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:51.556830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d481976d-f55d-4881-a45f-a3c1d5667b5c · outbound
This paper cites Deep residual learning for image recognition.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Deep residual learning for image recognition
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:51.534416Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 511f1032-921a-4d26-95ed-bb18f80eabb7 · outbound
This paper cites Relieving long-tailed instance segmentation via pairwise class balance.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Relieving long-tailed instance segmentation via pairwise class balance
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:51.500379Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 921eca99-3f11-4d71-9b79-44c35e2f8e6e · outbound
This paper cites Efficient visual pretraining with contrastive detection.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Efficient visual pretraining with contrastive detection
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:51.471113Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation df61836e-2567-48d1-b893-c8a76b6b8a88 · outbound
This paper cites DropLoss for long-tail instance segmentation.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction DropLoss for long-tail instance segmentation
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:51.446420Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c1615d84-ec02-497d-9798-a6d1a604c2f6 · outbound
This paper cites An asymmetric augmented self-supervised learning method for unsupervised fine-grained image hashing.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction An asymmetric augmented self-supervised learning method for unsupervised fine-grained image hashing
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:51.417423Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 34faf0b2-2742-48f6-91d9-c2a86c3faec5 · outbound
This paper cites The Low-Rank Simplicity Bias in Deep Networks.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction The Low-Rank Simplicity Bias in Deep Networks
Reference 21
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 69638469-3654-4025-9926-cc71919a31d8 · outbound
This paper cites Long-tail detection with effective class-margins.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Long-tail detection with effective class-margins
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:51.392467Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5cd46da6-34ef-4877-a0cf-c4c943dac9c7 · outbound
This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Batch normalization: Accelerating deep network training by reducing internal covariate shift
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:51.365219Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 519961e5-d943-437d-90a9-e9006e68367f · outbound
This paper cites Learning open-world object proposals without learning to classify.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Learning open-world object proposals without learning to classify
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:51.341602Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b29dfd72-9273-4234-a2d0-acf627d845de · outbound
This paper cites AlignDet: Aligning pre-training and fine-tuning in object detection.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction AlignDet: Aligning pre-training and fine-tuning in object detection
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:51.317412Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 599ab222-977c-415b-8e48-bbcaba4735c8 · outbound
This paper cites Contrastive learning of person-independent representations for facial action unit detection.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Contrastive learning of person-independent representations for facial action unit detection
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:51.295542Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6f26b01e-b439-4d08-937c-8183d02b7c08 · outbound
This paper cites Overcoming classifier imbalance for long-tail object detection with balanced group softmax.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Overcoming classifier imbalance for long-tail object detection with balanced group softmax
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:51.275074Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9521e0b1-f0ec-4632-b902-4f8219556df9 · outbound
This paper cites Learning representations for facial actions from unlabeled videos.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Learning representations for facial actions from unlabeled videos
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:51.254633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0014f266-9edb-4adb-bd65-27f96a1013a4 · outbound
This paper cites Occlusion aware facial expression recognition using cnn with attention mechanism.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Occlusion aware facial expression recognition using cnn with attention mechanism
Reference 29
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- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:51.229625Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 06aaf6f3-62b5-4158-9a7a-9b1298a5e3f7 · outbound
This paper cites Self-supervised representation learning from videos for facial action unit detection.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Self-supervised representation learning from videos for facial action unit detection
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:51.206484Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fcaf7107-70af-42cf-ac87-52754adefc80 · outbound
This paper cites Feature pyramid networks for object detection.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Feature pyramid networks for object detection
Reference 31
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- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:51.178769Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 59f11c9d-396a-40c8-9b30-804e66778ccc · outbound
This paper cites Focal loss for dense object detection.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Focal loss for dense object detection
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:51.155820Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ccf26376-b3ca-4339-9b80-4e1245a51b95 · outbound
This paper cites Microsoft COCO: Common objects in context.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Microsoft COCO: Common objects in context
Reference 33
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- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:51.122418Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a4a5e356-b62f-4b55-87dd-f0e737cd34d0 · outbound
This paper cites Self-EMD: Self-Supervised Object Detection without ImageNet.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Self-EMD: Self-Supervised Object Detection without ImageNet
Reference 34
- Resolution
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Source-reported events for the cited work
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Observation 057f361b-b3fc-455f-9a88-7d99c539fcd6 · outbound
This paper cites Rectified linear units improve restricted boltzmann machines.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Rectified linear units improve restricted boltzmann machines
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:51.093628Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a1c71737-e94c-41e7-8be0-c6badf35182d · outbound
This paper cites Representation Learning with Contrastive Predictive Coding.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Representation Learning with Contrastive Predictive Coding
Reference 36
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 925f9e0d-c361-4958-bc00-bc62024d4db1 · outbound
This paper cites Yang, Zach DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Yang, Zach DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:51.068278Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5129edd9-1c76-480b-97d7-97e4ce3b9e2e · outbound
This paper cites Balanced classification: A unified framework for long-tailed object detection.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Balanced classification: A unified framework for long-tailed object detection
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:51.048458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 37dbc27e-89e0-4ffd-a0b9-7b5d7c441239 · outbound
This paper cites You only look once: Unified, real-time object detection.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction You only look once: Unified, real-time object detection
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:51.027209Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8d4c9072-8196-4757-b6c0-ed29387362cf · outbound
This paper cites Faster R-CNN: Towards real-time object detection with region proposal networks.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Faster R-CNN: Towards real-time object detection with region proposal networks
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:51.002967Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d655e454-0049-4bd5-ab7c-f9b9f3b2e3e7 · outbound
This paper cites The pitfalls of simplicity bias in neural networks.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction The pitfalls of simplicity bias in neural networks
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:50.977847Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c5c09508-891b-4f6e-b5a0-364157b99bb7 · outbound
This paper cites Equalization loss v2: A new gradient balance approach for long-tailed object detection.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Equalization loss v2: A new gradient balance approach for long-tailed object detection
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:50.956794Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c9fd8b39-f9ca-4b77-9389-0c08b8c1f117 · outbound
This paper cites Equalization loss for long-tailed object recognition.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Equalization loss for long-tailed object recognition
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:50.920965Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c31b69ba-af6a-4f6e-b876-f0f24b4a2856 · outbound
This paper cites Evading the simplicity bias: Training a diverse set of models discovers solutions with superior ood generalization.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Evading the simplicity bias: Training a diverse set of models discovers solutions with superior ood generalization
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:50.896455Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 416a9e7d-4171-4918-8ac5-c565f7b0c6c2 · outbound
This paper cites Seesaw loss for long-tailed instance segmentation.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Seesaw loss for long-tailed instance segmentation
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:50.873408Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 656ae487-abb5-4cc0-a7a8-c385a2d47e55 · outbound
This paper cites Contrastive learning based hybrid networks for long-tailed image classification.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Contrastive learning based hybrid networks for long-tailed image classification
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:50.849705Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7087f386-31da-4fdb-abdc-1d3d91496d0c · outbound
This paper cites The devil is in classification: A simple framework for long-tail instance segmentation.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction The devil is in classification: A simple framework for long-tail instance segmentation
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:50.821650Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5494b0ac-c649-4ed2-8b0a-227236b72496 · outbound
This paper cites Adaptive class suppression loss for long-tail object detection.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Adaptive class suppression loss for long-tail object detection
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:50.795325Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 85ac17fd-5ad0-46fb-be34-7199cd75a345 · outbound
This paper cites Dense contrastive learning for self-supervised visual pre-training.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Dense contrastive learning for self-supervised visual pre-training
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:50.775409Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d8d42828-5021-498e-b18a-eead9b1fa88f · outbound
This paper cites Aligning pretraining for detection via object-level contrastive learning.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Aligning pretraining for detection via object-level contrastive learning
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:50.754506Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 919d10ee-dd4e-41a1-b1fb-a7746918b56e · outbound
This paper cites Attribute-aware deep hashing with self-consistency for large-scale fine-grained image retrieval.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Attribute-aware deep hashing with self-consistency for large-scale fine-grained image retrieval
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:50.731397Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9ad9ae2d-b556-4441-80ee-dfa5cfaaaba5 · outbound
This paper cites Delving Deep into Simplicity Bias for Long-Tailed Image Recognition.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Delving Deep into Simplicity Bias for Long-Tailed Image Recognition
Reference 52
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T20:44:50.322045Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6eb9012b-ab3a-484a-9c11-df3fe20ade2f · outbound
This paper cites Negatives make a positive: An embarrassingly simple approach to semi-supervised few-shot learning.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Negatives make a positive: An embarrassingly simple approach to semi-supervised few-shot learning
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:50.709319Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c5b7fa1b-3a50-4578-8dc5-ca289dfb6949 · outbound
This paper cites Prototype-based classifier learning for long-tailed visual recognition.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Prototype-based classifier learning for long-tailed visual recognition
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:50.688491Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a8476e14-bed2-48b7-bf98-6fc0cd11f9df · outbound
This paper cites Self-supervised visual representation learning with semantic grouping.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Self-supervised visual representation learning with semantic grouping
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:50.663245Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d2a1e448-4ec2-45c2-8345-62309ede8d3a · outbound
This paper cites Instance-Aware Repeat Factor Sampling for Long-Tailed Object Detection.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Instance-Aware Repeat Factor Sampling for Long-Tailed Object Detection
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T20:44:50.153660Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e0190a4d-87fe-48bd-bb60-4165b21824f1 · outbound
This paper cites A survey on long-tailed visual recognition.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction A survey on long-tailed visual recognition
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:50.641004Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1895e2ae-0a9e-4191-8ce7-a8bb3bb2fe3a · outbound
This paper cites Reconciling object-level and global-level objectives for long-tail detection.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Reconciling object-level and global-level objectives for long-tail detection
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:50.623296Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f42f0652-6bd8-45e8-9e06-b03fc9cd294c · outbound
This paper cites an unresolved cited work.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Unresolved cited work
Reference 59
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T20:44:50.604471Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d552b8e6-083c-401e-8ab9-e6634efb49df · outbound
This paper cites Self-supervised aggregation of diverse experts for test-agnostic long-tailed recognition.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Self-supervised aggregation of diverse experts for test-agnostic long-tailed recognition
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:50.583418Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 749bfdc3-b121-40b7-98a4-afdacc18caa3 · outbound
This paper cites Deep long-tailed learning: A survey.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Deep long-tailed learning: A survey
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:50.559361Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 71cf9150-0568-4b70-a72f-58ee5b57b47f · outbound
This paper cites BBN: Bilateral-branch network with cumulative learning for long-tailed visual recognition.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction BBN: Bilateral-branch network with cumulative learning for long-tailed visual recognition
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:50.536293Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation aae61d55-5cb9-4ae0-ab32-5e3f41f2785f · outbound
This paper cites Generalized logit adjustment: Calibrating fine-tuned models by removing label bias in foundation models.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Generalized logit adjustment: Calibrating fine-tuned models by removing label bias in foundation models
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:50.514465Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ed7a99f2-a751-4d6e-9350-eb4e84120bd2 · outbound
This paper cites Balanced contrastive learning for long-tailed visual recognition.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Balanced contrastive learning for long-tailed visual recognition
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:50.492498Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0bc5363d-1275-43ac-b2a6-c9dcf09f32a0 · outbound
This paper cites an unresolved cited work.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Unresolved cited work
Reference 256
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T20:44:50.470740Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.