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Paper Citation Record · LEDGER

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection

As of 20 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 0 inbound Pith citation observations for arXiv:2507.00608.

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

pith.paper-citation-record.v1
2507.00608 v1

Coverage vector

measured 79 of 79 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:20:54.887498Z

measured 79 of 79 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

79 of 79 outbound references displayed

  • verified exact3
  • verified fuzzy50
  • unresolved23
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation af1a4ab7-a6f9-402d-8efe-2a9731b491e7 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Faster r-cnn: Towards real-time object detection with region proposal networks,

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3b5e6bb3-b08e-4d18-83a6-07b39daecff8 · outbound

This paper cites You only look once: Unified, real-time object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection You only look once: Unified, real-time object detection,

Reference 2

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 896c16a2-9da1-4103-bd65-754c05049842 · outbound

This paper cites Ssd: Single shot multibox detector,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Ssd: Single shot multibox detector,

Reference 3

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unresolved
no resolver link, observed 2026-08-06T21:20:52.171082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 127749f1-d5b2-4372-bb6f-e7619335072a · outbound

This paper cites Spatially invariant unsupervised object detection with convolutional neural networks,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Spatially invariant unsupervised object detection with convolutional neural networks,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 311a4d04-3eb3-4bd1-9eb0-b0435c556681 · outbound

This paper cites Category dictionary guided unsupervised domain adaptation for object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Category dictionary guided unsupervised domain adaptation for object detection,

Reference 5

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 395cedbe-721c-462e-a552-fb35ffe385ed · outbound

This paper cites Shape-adaptive selection and measurement for oriented object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Shape-adaptive selection and measurement for oriented object detection,

Reference 6

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 61b89cb0-d4d9-4146-96e2-616c2c71fd84 · outbound

This paper cites Weakly-supervised camouflaged object detection with scribble annotations,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Weakly-supervised camouflaged object detection with scribble annotations,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation d75041c5-0444-4fed-a269-2b4d9e299278 · outbound

This paper cites A review and comparative study on probabilistic object detection in autonomous driv- ing,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection A review and comparative study on probabilistic object detection in autonomous driv- ing,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:56.003598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation f145c794-c378-433a-8417-58bc05332a9a · outbound

This paper cites C2FDA: coarse-to-fine domain adaptation for traffic object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection C2FDA: coarse-to-fine domain adaptation for traffic object detection,

Reference 9

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation af49373b-254a-471e-a92c-ccad2e3a4712 · outbound

This paper cites Aibm: Accurate and instant background modeling for moving object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Aibm: Accurate and instant background modeling for moving object detection,

Reference 10

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation ed410e49-f093-4667-9203-7fa6314f4d69 · outbound

This paper cites A cross-scale and illumination invariance-based model for robust object detection in traffic surveillance scenarios,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection A cross-scale and illumination invariance-based model for robust object detection in traffic surveillance scenarios,

Reference 11

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 3aa57952-5e57-47f0-b092-f291c2c985c1 · outbound

This paper cites Tfgnet: Traffic salient object detection using a feature deep interaction and guidance fusion,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Tfgnet: Traffic salient object detection using a feature deep interaction and guidance fusion,

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 35dfcf24-35f6-419d-aa5b-ccddf6081610 · outbound

This paper cites Domain adaptive faster r-cnn for object detection in the wild,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Domain adaptive faster r-cnn for object detection in the wild,

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 4cf677a5-d88b-49e0-84bd-89ea9a34896e · outbound

This paper cites Strong-weak distri- bution alignment for adaptive object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Strong-weak distri- bution alignment for adaptive object detection,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.944220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 85ffc1b6-b67e-47a0-913a-92f25f455372 · outbound

This paper cites Every pixel matters: Center-aware feature alignment for domain adaptive object detector,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Every pixel matters: Center-aware feature alignment for domain adaptive object detector,

Reference 15

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 5b55edb1-4a34-4363-bede-c1a456258f65 · outbound

This paper cites Prior-based domain adaptive object detection for hazy and rainy conditions,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Prior-based domain adaptive object detection for hazy and rainy conditions,

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 4c0e26be-150c-49a4-bfea-ba27cc69a6b7 · outbound

This paper cites Mega- cda: Memory guided attention for category-aware unsupervised domain adaptive object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Mega- cda: Memory guided attention for category-aware unsupervised domain adaptive object detection,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation c37ad82a-8e2d-4e87-9381-a2218a21fb88 · outbound

This paper cites Multi-adversarial faster-rcnn for unrestricted object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Multi-adversarial faster-rcnn for unrestricted object detection,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation d47073dd-3685-4bc7-acf1-c9284be6ebc1 · outbound

This paper cites Progressive domain adaptation for object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Progressive domain adaptation for object detection,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 228edf67-d50f-47e2-be8e-2a4336a612bc · outbound

This paper cites Diversify and match: A domain adaptive representation learning paradigm for object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Diversify and match: A domain adaptive representation learning paradigm for object detection,

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 6f9d2254-563a-4587-acba-803106be17aa · outbound

This paper cites Cross-domain object detection through coarse-to-fine feature adaptation,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Cross-domain object detection through coarse-to-fine feature adaptation,

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:20:54.707591Z digest=sha256:411f29915def3c86ed488b15ff0fe7577cdd0bc61c80a77e13f16ba41fad7513

Observation 96ed259b-dcd4-4881-b643-d2eb9e9adf79 · outbound

This paper cites Adapting object detectors via selective cross-domain alignment,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Adapting object detectors via selective cross-domain alignment,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation d05e1cb6-6cd7-4f29-bb74-ad95008f6258 · outbound

This paper cites Decoupled adaptation for cross-domain object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Decoupled adaptation for cross-domain object detection,

Reference 23

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 6b262831-0666-45f5-a032-b61fb8521331 · outbound

This paper cites Sigma: Semantic-complete graph matching for domain adaptive object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Sigma: Semantic-complete graph matching for domain adaptive object detection,

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 5b10765b-2f05-4c00-8c35-09c2d7d9f71b · outbound

This paper cites Simrod: A simple adaptation method for robust object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Simrod: A simple adaptation method for robust object detection,

Reference 25

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation ab80cc21-7a8a-4235-86e9-1a5216ad65dc · outbound

This paper cites Automatic adaptation of object detectors to new domains using self-training,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Automatic adaptation of object detectors to new domains using self-training,

Reference 26

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation eead10ad-1ecb-4c7a-83a0-3c023d0595c3 · outbound

This paper cites A robust learning approach to domain adaptive object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection A robust learning approach to domain adaptive object detection,

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 7d082410-f322-4fa4-958b-8b0e6f8fa95d · outbound

This paper cites Self-training and adversarial background regularization for unsupervised domain adaptive one-stage object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Self-training and adversarial background regularization for unsupervised domain adaptive one-stage object detection,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.780880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:20:54.730982Z digest=sha256:8773d7d9d831b2f25a32c0363c1ba8eb997796b45663e3f2e50bb468489de5b5

Observation 5bd029ae-98bc-454a-aaf0-916565af07fe · outbound

This paper cites Collaborative training between region proposal localization and classification for domain adaptive object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Collaborative training between region proposal localization and classification for domain adaptive object detection,

Reference 29

Resolution
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raw_fallback, observed 2026-08-06T21:20:55.771518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:20:54.734287Z digest=sha256:83046f97480599cfd0be5a9a40e548001d8da758921f3baedb5eb229043010dc

Observation ede3c3f8-f089-476d-861b-97c45f9b98a1 · outbound

This paper cites Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised Learning.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised Learning

Reference 30

Resolution
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no resolver link, observed 2026-08-06T21:20:54.740739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 749a8935-8696-4bcb-959d-d372528dd0bc · outbound

This paper cites an unresolved cited work.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Unresolved cited work

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 52dcd5b8-3f2f-4c5b-9890-3dfd0cc9a117 · outbound

This paper cites Robust object detection via instance-level temporal cycle confusion,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Robust object detection via instance-level temporal cycle confusion,

Reference 32

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raw_fallback, observed 2026-08-06T21:20:55.743543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:20:54.747398Z digest=sha256:c5cf3ebf4f8c112b29e06298220a174abb598f8c8ee818343740538e5e6e755e

Observation af4bdf36-394c-4870-99f9-57dd90c76e8f · outbound

This paper cites Sstn: Self-supervised domain adapta- tion thermal object detection for autonomous driving,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Sstn: Self-supervised domain adapta- tion thermal object detection for autonomous driving,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.752935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:20:54.744360Z digest=sha256:5a2ea4f0367ac9ae110e8c8551638cb70a656aaa02f209ab6940d039b177564c

Observation bd02e730-0cc7-48d6-89b7-523cfb2d318a · outbound

This paper cites Sigma++: Improved semantic-complete graph matching for domain adaptive object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Sigma++: Improved semantic-complete graph matching for domain adaptive object detection,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.727547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:20:54.753132Z digest=sha256:5786987f55d23f89399358fbc1c7e003474b3705be541f9f0a8a3578dd7fd7d6

Observation e32c4b32-06ca-48dd-bdee-1df854b6dd49 · outbound

This paper cites Cross-domain weakly-supervised object detection through progressive domain adap- tation,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Cross-domain weakly-supervised object detection through progressive domain adap- tation,

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:20:54.750067Z digest=sha256:9f3cf3d915db200e64bf315cf16e0451358001743a3940d52dab201e4fd70aae

Observation 30a2e046-d669-46b4-af62-7624a65ba7ad · outbound

This paper cites Deep domain adaptation for pavement crack detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Deep domain adaptation for pavement crack detection,

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.716979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:20:54.759151Z digest=sha256:2ba62abdde4e8717f6764e992af5804f96df5824f7a6be7eec4136e37b969d75

Observation 97d691a0-825f-4452-83dc-a4125af7288f · outbound

This paper cites Stepwise domain adaptation (SDA) for object detection in autonomous vehicles using an adaptive centernet,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Stepwise domain adaptation (SDA) for object detection in autonomous vehicles using an adaptive centernet,

Reference 37

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metadata mismatch
raw_fallback, observed 2026-08-06T21:20:55.321596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:20:54.756378Z digest=sha256:64420ceb71eb84c8557d6f49b9bd033d70b3ff995b798d45c9899f9e7056512f

Observation 5a8fc233-4b32-4b81-8dad-54c6788f790f · outbound

This paper cites Focal loss for dense object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Focal loss for dense object detection,

Reference 38

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unresolved
no resolver link, observed 2026-08-06T21:20:54.765502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:20:54.765502Z digest=sha256:d1c46f54186805a9407a7b88328ad35d367e437b09115dcc937f6e6896beb8ed

Observation 16a8d562-85d4-4cf5-8fd5-f8dbcd0e026f · outbound

This paper cites Progressive critical region transfer for cross-domain visual object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Progressive critical region transfer for cross-domain visual object detection,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.707415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:20:54.762629Z digest=sha256:2551d534ff1056e8b3894a50b0fe3ae6302123aec0a462c8b1c075ab640ee248

Observation cb01f0be-723f-40f6-830c-e7465b551156 · outbound

This paper cites Exploring categorical regularization for domain adaptive object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Exploring categorical regularization for domain adaptive object detection,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.681044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:20:54.772082Z digest=sha256:38be33d1756a448c342516962adddcfe806110595bb68a4a9ad03dd9b09021ed

Observation b64ff80d-37a1-4eb0-94fc-d1cdd867b288 · outbound

This paper cites Seeking similarities over differences: Similarity-based do- main alignment for adaptive object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Seeking similarities over differences: Similarity-based do- main alignment for adaptive object detection,

Reference 41

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verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.690654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:20:54.769435Z digest=sha256:cac8d546ae08da898b02351a1d5582b08eba5666a9446a2f2f0be97755461d95

Observation ff568b2c-8cd4-4f60-8434-a99d3d0c6dc9 · outbound

This paper cites Cycle-consistent domain adaptive faster rcnn,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Cycle-consistent domain adaptive faster rcnn,

Reference 42

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verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.660707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:20:54.778046Z digest=sha256:270074affb055358b274d1287476b84e7d04c2ea93e3e7c8ebb282ba83e58429

Observation 01499958-91e1-463e-8dbe-70d663013cae · outbound

This paper cites Adaptive object detection with dual multi-label prediction,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Adaptive object detection with dual multi-label prediction,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.670822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:20:54.775032Z digest=sha256:990ba22896bffe406d7eb3748afdc84bc28498e82a8e13927f91c63397db6bc8

Observation f06347ac-78d9-4e76-8046-f16df03f6cc7 · outbound

This paper cites Domain Adaptation for Object Detection via Style Consistency.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Domain Adaptation for Object Detection via Style Consistency

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:20:55.251121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:20:54.783877Z digest=sha256:9aac9cb2c716bde482b96246832f8e377382b2709f61f078fba8946bea1e30d2

Observation 7baeb4a6-5ea0-4871-9f64-6c4d8d8dd0d6 · outbound

This paper cites Harmonizing transferability and discriminability for adapting object detectors,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Harmonizing transferability and discriminability for adapting object detectors,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.651010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:20:54.781139Z digest=sha256:05c4c4e825808c2eb9d53943649623d3ebadee9485b5b579f3974d62692e5d6e

Observation c85ab115-05df-4b96-bfa6-8bd9a8dfca81 · outbound

This paper cites A Simple Semi-Supervised Learning Framework for Object Detection.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection A Simple Semi-Supervised Learning Framework for Object Detection

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T21:20:54.789838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:20:54.789838Z digest=sha256:d64a96165ad4ff4b5593f652b9dcb9782cd9704762043e0f34101650fb71a0e0

Observation 2788d87c-86c4-4eb0-9127-0550bb1cc7e5 · outbound

This paper cites Cycada: Cycle-consistent adversarial domain adapta- tion,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Cycada: Cycle-consistent adversarial domain adapta- tion,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.641579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:20:54.787123Z digest=sha256:df8f8f9e63ca00762ee8c56d74a8ffdec3db1914615b1c9da280886189bebd6b

Observation f250c14e-db00-48d0-8c48-2f01f417fc17 · outbound

This paper cites St3d: Self-training for unsupervised domain adaptation on 3d object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection St3d: Self-training for unsupervised domain adaptation on 3d object detection,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.620532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:20:54.796305Z digest=sha256:5495c39493a4ffed07b22df8f512a398b98f55011a5b00b055fba92fdb3a8864

Observation 39c790b9-2444-45a7-9de8-9a7aba86f441 · outbound

This paper cites Instant-teaching: An end- to-end semi-supervised object detection framework,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Instant-teaching: An end- to-end semi-supervised object detection framework,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.630755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:20:54.793384Z digest=sha256:72f82a9c62f71a65b9114f8c16d894349b4d599b22976ca0dd44b0bbfab7d5bf

Observation 0eeee0a7-0fff-474e-acdb-cd2d42bfb097 · outbound

This paper cites Weighted boxes fusion: Ensembling boxes from different object detection models,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Weighted boxes fusion: Ensembling boxes from different object detection models,

Reference 50

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unresolved
no resolver link, observed 2026-08-06T21:20:54.802212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:20:54.802212Z digest=sha256:30251a2f17402c54b53d08046dcf58e99627b2a13813d03ad7773372550e3d90

Observation 5e160890-fab1-4858-b70f-18b410563084 · outbound

This paper cites End-to-end semi-supervised object detection with soft teacher,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection End-to-end semi-supervised object detection with soft teacher,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.609952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:20:54.799216Z digest=sha256:c0721b3e384ffee37b17ff88719805b8ad261560dbed1dec62305fe7d10bb6bb

Observation dfa17090-1fae-42f7-ba33-c48d7c5e3e6f · outbound

This paper cites Soft-nms–improving object detection with one line of code,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Soft-nms–improving object detection with one line of code,

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T21:20:54.809009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:20:54.809009Z digest=sha256:6e2ffd6b5782ede31cb92bc5c968f68c82f71e84ebde163598d741d865e9ef63

Observation 02ef099e-ddd9-4d55-b759-9d646f77647d · outbound

This paper cites Efficient non-maximum suppression,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Efficient non-maximum suppression,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.591340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:20:54.805725Z digest=sha256:3b183e4cdd0de37790e78b727cd79b411bcc59daef74ee5341c6d94c5053c04d

Observation bdb0d7fb-1f3a-4743-913d-45601325b88d · outbound

This paper cites ultralytics/yolov5: v1.0 - initial release,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection ultralytics/yolov5: v1.0 - initial release,

Reference 54

Resolution
verified exact
doi, observed 2026-08-06T21:20:54.920121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:20:54.815191Z digest=sha256:f21544c2ad2a508c857c1a40a05b1839cca4af2a0f048d4a15f7f55d0689c311

Observation c6dcc2fa-a8e3-48e4-a074-45c26068ac98 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Explaining and Harnessing Adversarial Examples

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-06T21:20:54.812033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:20:54.812033Z digest=sha256:a54606af1f496e2fe012eb4f549616fead2344d3c935645509cf68287e011b34

Observation 1b0fc73d-7f03-4866-b86b-844f8f0f0c20 · outbound

This paper cites The pascal visual object classes (voc) challenge,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection The pascal visual object classes (voc) challenge,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.568221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:20:54.821783Z digest=sha256:df5bdb739476f412ee89b59afedda6ef86a730d80762ab2879bac68bceacf699

Observation 0de0eb02-4a21-4335-b7bf-453b832c8d02 · outbound

This paper cites Microsoft coco: Common objects in context,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Microsoft coco: Common objects in context,

Reference 57

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no resolver link, observed 2026-08-06T21:20:54.818956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:20:54.818956Z digest=sha256:73b88875ca5a32713e5481b278569a23e6e583fe7c30cd7339bf2f52f9759e3e

Observation e6134df6-bb8d-4c48-ab6d-015166b51c74 · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection The cityscapes dataset for semantic urban scene understanding,

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T21:20:54.827851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:20:54.827851Z digest=sha256:81496c4599875d3fdbc9e4179d8ac220582babb8f1ff3d58f2dc5025e7a65dd8

Observation e9f219b6-7163-49d3-9f91-e9118b4580c5 · outbound

This paper cites Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?

Reference 59

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unresolved
no resolver link, observed 2026-08-06T21:20:54.824578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:20:54.824578Z digest=sha256:5b690bb7ea5e3768f220a02c895548efd357f569906a1bf951b03b73f71b67db

Observation bd6f75a5-8ec6-4e96-93b3-678a10e809fe · outbound

This paper cites SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:20:55.207001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:20:54.833232Z digest=sha256:4df07df8b0cb374999bb842acb975da9c3bd007e46229ff87753da117f3def44

Observation 2ae23858-c681-42d0-8c94-a86ba0ac3958 · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Are we ready for autonomous driving? the kitti vision benchmark suite,

Reference 61

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no resolver link, observed 2026-08-06T21:20:54.830651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:20:54.830651Z digest=sha256:66fa3f55afde2f24a65859a582d4b5f0dee12f4bc13a58a1343ce41a5064552c

Observation 8628ed8e-f569-49ba-813e-683f8f3d0367 · outbound

This paper cites Unbiased Teacher for Semi-Supervised Object Detection.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Unbiased Teacher for Semi-Supervised Object Detection

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-06T21:20:54.842159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:20:54.842159Z digest=sha256:40cbf2660348573b96cff0a77496b92512f3e4413b98164eb82fcfbc2ce9fbe4

Observation 4c6e6f71-5fb6-4c8c-883a-d66c911dcc52 · outbound

This paper cites Domain adaptive object detection via asymmetric tri-way faster-rcnn,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Domain adaptive object detection via asymmetric tri-way faster-rcnn,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.543845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:20:54.836631Z digest=sha256:485c1d8514ee8b24b5b50a1eca72236945c6908dec7e647bb5081fe7860dc2da

Observation ad401648-cdd7-4723-baf7-1eb9c8060497 · outbound

This paper cites an unresolved cited work.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Unresolved cited work

Reference 64

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unresolved
raw_fallback, observed 2026-08-06T21:20:55.532947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:20:54.839382Z digest=sha256:439f8da1b5d02506c17b6dfb9e4070b5179b9613d562d3dd5d91066f93e14804

Observation 1f41e1a8-96cd-45a8-a9f2-50f965bd10c1 · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Batch normalization: Accelerating deep network training by reducing internal covariate shift,

Reference 65

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no resolver link, observed 2026-08-06T21:20:54.851258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:20:54.851258Z digest=sha256:802b7ff38a64628f1b6b71401472faf2d6cc8d3cc93f5171c73eecb8f24ce224

Observation eab17c34-0f45-4578-a561-9bdc4cfcc03a · outbound

This paper cites Adversarial discrim- inative domain adaptation,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Adversarial discrim- inative domain adaptation,

Reference 66

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unresolved
no resolver link, observed 2026-08-06T21:20:54.845281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:20:54.845281Z digest=sha256:140d4ad004b27fc1c985b5bcf0eb8c3ac9c3381227c0632d7f7e1f83b8f1b9e9

Observation c0e9e359-d866-47f8-a256-9221c3881cd7 · outbound

This paper cites The many faces of robustness: A critical analysis of out-of-distribution generalization,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection The many faces of robustness: A critical analysis of out-of-distribution generalization,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.516611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:20:54.848158Z digest=sha256:81ce8fab1d02bfbb75549011aade74df1091a676ba8ea06a88e50f30aee3bce2

Observation f4c4c543-66e0-4b29-88e2-216dcde072c5 · outbound

This paper cites Multi-level domain adaptive learning for cross-domain detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Multi-level domain adaptive learning for cross-domain detection,

Reference 68

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raw_fallback, observed 2026-08-06T21:20:55.493241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:20:54.860124Z digest=sha256:e10d4468c9bd5943b8c8e4078004986fd10ccddcba6a61f3f22657d7be1d3d97

Observation eed4f11f-a586-4808-ae3e-d0f0fb3039c2 · outbound

This paper cites ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness

Reference 69

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no resolver link, observed 2026-08-06T21:20:54.853850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:20:54.853850Z digest=sha256:f8bf9b37e88d835965815a2a7e93b4e79e4cf9a3f513e53814dff0949496d663

Observation 03303dba-efba-486b-a238-aca74b7ae2f7 · outbound

This paper cites Unpaired image-to-image translation using cycle-consistent adversarial networks,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Unpaired image-to-image translation using cycle-consistent adversarial networks,

Reference 70

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no resolver link, observed 2026-08-06T21:20:54.857173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:20:54.857173Z digest=sha256:070a53f579736da9c7c89f5c429131a8e524e98486e1d81c4ed69a9b41695c58

Observation 40da94c0-7a2d-41bf-8bc5-330bc3d47999 · outbound

This paper cites Exploring object relation in mean teacher for cross-domain detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Exploring object relation in mean teacher for cross-domain detection,

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.459860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:20:54.869870Z digest=sha256:7fa4e01e1495a210d55f6d92f5bd4cf96ac3409259dc3df8553ab6686a2ae36a

Observation b03ccc99-1729-4ebc-963d-1ace46bd6f6d · outbound

This paper cites Adapting object detectors with conditional domain normalization,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Adapting object detectors with conditional domain normalization,

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.482462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:20:54.863458Z digest=sha256:417199da6cbacbd811a1574a103493408043c7968f174c2324f512b825ef42d1

Observation 18909566-7f28-4236-b0de-e91586cadac0 · outbound

This paper cites Unbiased mean teacher for cross- domain object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Unbiased mean teacher for cross- domain object detection,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.470913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:20:54.866944Z digest=sha256:5d0a7bd29430d7859c9bb2753a2196eac82ac26c5728c599642828a9b79de87a

Observation 71f196de-9662-4326-934b-076ef2c21eb9 · outbound

This paper cites Towards robust adaptive object detection under noisy annotations,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Towards robust adaptive object detection under noisy annotations,

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-06T21:20:54.880311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:20:54.880311Z digest=sha256:a4ac4c9e1884c02f5574b2dc2018b456b1e27e84b21cfa0dee6ea9c72978ef39

Observation b056f0cb-4d36-441f-9822-7f6e3df25807 · outbound

This paper cites Knowledge mining and transferring for domain adaptive object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Knowledge mining and transferring for domain adaptive object detection,

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.447646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:20:54.872731Z digest=sha256:e94d7e2a9dc5336bb4a8896b06ac7a13f9ec3189371047df20b11253216cf3d5

Observation 75de4dd7-f06a-4a24-be4e-3da0c1b1abc3 · outbound

This paper cites Ssal: Synergizing between self-training and adversarial learning for domain adaptive object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Ssal: Synergizing between self-training and adversarial learning for domain adaptive object detection,

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:55.436993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:20:54.876419Z digest=sha256:1ad53164cf00b8b3f9ff9e4c210cd41ff65d65d239067aad721dc7c4a7e26683

Observation 200988ac-5f24-4d88-834e-705644cf8a8f · outbound

This paper cites Novel scenes & classes: Towards adaptive open-set object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Novel scenes & classes: Towards adaptive open-set object detection,

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-06T21:20:54.883670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:20:54.883670Z digest=sha256:eb3695a915a234d761b67d440a38600979557c9d9e25e1d539c84cac83c4e437

Observation de8bc822-6d3e-4a84-9c63-b33b0f43dc71 · outbound

This paper cites Decoupled unbiased teacher for source-free domain adaptive medical object detection,.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Decoupled unbiased teacher for source-free domain adaptive medical object detection,

Reference 79

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T21:20:55.006813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:20:54.887498Z digest=sha256:c7a5e6334a646cc178258f8059361ac27a9e970c52299bfb3b22924a88f23a67

Observation 9fd917fe-3150-4d20-bd4b-f171b96f31f0 · outbound

This paper cites Available: https://ojs.aaai.org/index.php/AAAI/article/ view/19975.

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection Available: https://ojs.aaai.org/index.php/AAAI/article/ view/19975

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:56.027765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:20:52.710094Z digest=sha256:b185f53a549294240cccf0b238f7bd5a91ab73d25d3d828b7783d22df06aedff

Pith citing papers

No inbound Pith citation observations are available.