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Paper Citation Record · LEDGER

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining

As of 19 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2411.11370.

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

pith.paper-citation-record.v1
2411.11370 v2

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:39:38.929251Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

54 of 54 outbound references displayed

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  • unresolved19
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4751c125-27f3-4db7-a678-a628844d8e0e · outbound

This paper cites A review on state-of-the-art power line inspection techniques,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining A review on state-of-the-art power line inspection techniques,

Reference 1

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation a2dd1e69-827f-463e-9557-1c35f7f18f10 · outbound

This paper cites Vision-based plane estimation and following for building inspection with autonomous uav,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Vision-based plane estimation and following for building inspection with autonomous uav,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5ad31705-4a44-49c8-9c82-2d5c5c91bb0b · outbound

This paper cites A bionic dynamic path planning algorithm of the micro uav based on the fusion of deep neural network optimization/filtering and hawk-eye vision,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining A bionic dynamic path planning algorithm of the micro uav based on the fusion of deep neural network optimization/filtering and hawk-eye vision,

Reference 3

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Source-reported events for the cited work

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Observation b287715c-3191-49a8-8770-873d174fdc42 · outbound

This paper cites A survey of intelligent trans- mission line inspection based on unmanned aerial vehicle,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining A survey of intelligent trans- mission line inspection based on unmanned aerial vehicle,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 49ed52a9-2d7a-4693-9e74-3f6e7c803cb9 · outbound

This paper cites In-yolo: Real- time detection of outdoor high voltage insulators using uav imaging,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining In-yolo: Real- time detection of outdoor high voltage insulators using uav imaging,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e3f03f22-54de-4814-9619-517685695432 · outbound

This paper cites Hybrid knowledge r-cnn for transmission line multifitting detection,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Hybrid knowledge r-cnn for transmission line multifitting detection,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 31aaa0bd-0bcc-4eb9-8dc5-5a75fe283942 · outbound

This paper cites Multi-fitting detec- tion on transmission line based on cascade reasoning graph network,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Multi-fitting detec- tion on transmission line based on cascade reasoning graph network,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5da36dc2-9e8f-41a7-bdbb-e14845c0cc96 · outbound

This paper cites Transmission line key components and defects detection based on meta- learning,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Transmission line key components and defects detection based on meta- learning,

Reference 8

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raw_fallback, observed 2026-08-12T18:39:39.390510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation b24ea64f-bd22-4831-865d-e17a7ece40e5 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Learning transferable visual models from natural language supervision,

Reference 9

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Source-reported events for the cited work

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Observation 081d70fa-d383-4b4a-ae49-48c2127ac95f · outbound

This paper cites Scaling up visual and vision-language representation learning with noisy text supervision,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Scaling up visual and vision-language representation learning with noisy text supervision,

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 415760a9-280c-4b98-89c8-340da61de549 · outbound

This paper cites Winclip: Zero-/few-shot anomaly classification and segmentation,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Winclip: Zero-/few-shot anomaly classification and segmentation,

Reference 11

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Source-reported events for the cited work

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Observation f2d66d2e-caad-4a55-a8a7-0cb3e18480d9 · outbound

This paper cites Multimodality helps unimodality: Cross-modal few-shot learning with multimodal models,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Multimodality helps unimodality: Cross-modal few-shot learning with multimodal models,

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d03ad52c-8650-40a4-9aa1-1222bcc8307f · outbound

This paper cites Towards artificial general intelligence via a multimodal foundation model,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Towards artificial general intelligence via a multimodal foundation model,

Reference 13

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Observation cda7e0f7-ee30-46fd-ac9c-8d40d3593959 · outbound

This paper cites Learning to prompt for vision- language models,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Learning to prompt for vision- language models,

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c6ac0a54-2c92-4546-8f89-8bdb6173762d · outbound

This paper cites Cora: Adapting clip for open- vocabulary detection with region prompting and anchor pre-matching,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Cora: Adapting clip for open- vocabulary detection with region prompting and anchor pre-matching,

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-12T18:39:39.343104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation f94a9d08-dac8-4aef-b897-e8589b65f2be · outbound

This paper cites The unreasonable effectiveness of clip features for image captioning: an experimental analysis,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining The unreasonable effectiveness of clip features for image captioning: an experimental analysis,

Reference 16

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no resolver link, observed 2026-08-12T18:39:38.796414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4476fc76-d523-4cb6-ab76-adb7cc928d42 · outbound

This paper cites Image as a foreign language: Beit pretraining for vision and vision-language tasks,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Image as a foreign language: Beit pretraining for vision and vision-language tasks,

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3001fca4-bb3b-4f50-90e4-1d048afb05e4 · outbound

This paper cites Improving clip training with language rewrites,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Improving clip training with language rewrites,

Reference 18

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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 2026-08-18T06:34:40.430872+00:00.

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Observation a79cf294-cefd-4df0-9e85-ba64513ecc3d · outbound

This paper cites Unified contrastive learning in image-text-label space,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Unified contrastive learning in image-text-label space,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation bec67f58-a9d8-4c6d-ae16-872ba82b8458 · outbound

This paper cites S-clip: Semi-supervised vision- language learning using few specialist captions,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining S-clip: Semi-supervised vision- language learning using few specialist captions,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 460e53e5-73f5-4f71-87e4-41f77773d69d · outbound

This paper cites Medclip: Contrastive learning from unpaired medical images and text,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Medclip: Contrastive learning from unpaired medical images and text,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 1f234747-7939-4123-9eb5-7e309ba0b1d9 · outbound

This paper cites Toward generalist anomaly detection via in-context residual learning with few-shot sample prompts,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Toward generalist anomaly detection via in-context residual learning with few-shot sample prompts,

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-12T18:39:39.272324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation bd1dccd5-02a6-42b7-a6ad-2d663fb02092 · outbound

This paper cites Fash- ionvil: Fashion-focused vision-and-language representation learning,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Fash- ionvil: Fashion-focused vision-and-language representation learning,

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-12T18:39:39.261986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation b7805d59-6151-4d98-bae7-66b2fb1de4a8 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Imagenet: A large-scale hierarchical image database,

Reference 24

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Source-reported events for the cited work

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Observation 347a0992-0cbc-4597-bf8d-bc535480da24 · outbound

This paper cites An accurate and real-time method of self-blast glass insulator location based on faster r-cnn and u-net with aerial images,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining An accurate and real-time method of self-blast glass insulator location based on faster r-cnn and u-net with aerial images,

Reference 25

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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 2026-08-18T06:34:40.430872+00:00.

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Observation 35f418c1-75f6-4527-8c7d-40438b19582d · outbound

This paper cites Detection and evaluation method of transmission line defects based on deep learning,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Detection and evaluation method of transmission line defects based on deep learning,

Reference 26

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raw_fallback, observed 2026-08-12T18:39:39.232339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation deb812ac-7d36-436b-b88b-a2a94908d16e · outbound

This paper cites An ultrasmall bolt defect detection method for transmission line inspection,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining An ultrasmall bolt defect detection method for transmission line inspection,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation ce081297-d978-4882-9e7f-ab40bdb4d031 · outbound

This paper cites Vision-language models for vision tasks: A survey,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Vision-language models for vision tasks: A survey,

Reference 28

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Source-reported events for the cited work

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Observation 62fdfe80-fed7-44b4-b079-ee563b951ad4 · outbound

This paper cites Lasp: Text-to-text optimization for language-aware soft prompting of vision & language models,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Lasp: Text-to-text optimization for language-aware soft prompting of vision & language models,

Reference 29

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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 2026-08-18T06:34:40.430872+00:00.

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Observation e33c13fc-1949-40e5-b3ee-9adc626be6fd · outbound

This paper cites Clip-adapter: Better vision-language models with feature adapters,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Clip-adapter: Better vision-language models with feature adapters,

Reference 30

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no resolver link, observed 2026-08-12T18:39:38.846524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 49a0c745-63ca-4237-afa8-1a9a915e9f05 · outbound

This paper cites Graphadapter: Tuning vision-language models with dual knowledge graph,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Graphadapter: Tuning vision-language models with dual knowledge graph,

Reference 31

Resolution
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raw_fallback, observed 2026-08-12T18:39:39.189515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation f046ab43-573a-4d3a-a989-9e3838804db6 · outbound

This paper cites Finetune like you pretrain: Improved finetuning of zero-shot vision models,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Finetune like you pretrain: Improved finetuning of zero-shot vision models,

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-12T18:39:39.178942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 3f16e3eb-6635-42c7-aee0-f1310be1ee12 · outbound

This paper cites Few-shot electrical equipment image recognition method based on an improved two-stage fine-tuning approach,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Few-shot electrical equipment image recognition method based on an improved two-stage fine-tuning approach,

Reference 33

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raw_fallback, observed 2026-08-12T18:39:39.167987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation ecd03866-1d06-43c1-a1b8-c542d918e8a5 · outbound

This paper cites Defect detection method for key area guided transmission line components based on knowledge distillation,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Defect detection method for key area guided transmission line components based on knowledge distillation,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:39:39.156607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T18:39:38.860183Z digest=sha256:c8bca3fb6c35309861c327e2ef8ab5e6c96a9ef7684ab32b3c4d2ec7eea81f4b

Observation 3c28cb3c-d47a-4b78-8054-d03a50266577 · outbound

This paper cites A defect detection method based on bc-yolo for transmission line components in uav remote sensing images,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining A defect detection method based on bc-yolo for transmission line components in uav remote sensing images,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:39:39.146379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T18:39:38.863643Z digest=sha256:b8981c0f35fa98af48d87829a12a0219a10bf013e9225e2e30bdc3e713912f47

Observation a29f2c40-4fb3-4f91-aa09-72c13a714341 · outbound

This paper cites A robust faster r-cnn model with feature enhancement for rust detection of transmission line fitting,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining A robust faster r-cnn model with feature enhancement for rust detection of transmission line fitting,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:39:39.135660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T18:39:38.867069Z digest=sha256:70ec71849c99083273e17e8411109c64ba9491703d400267df6d516ffb410cf2

Observation 859a226f-bf1d-48d7-be89-3682c17928d1 · outbound

This paper cites Ecc-rcnn: An efficient and high-accuracy object detection framework for transmission line defect identification,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Ecc-rcnn: An efficient and high-accuracy object detection framework for transmission line defect identification,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:39:39.123538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T18:39:38.871095Z digest=sha256:4604989919504c9947e799221f94da00a2b5b98254881209d33901fee5bfb524

Observation 0aa499e6-703d-46aa-9baf-6dfbb9ae3004 · outbound

This paper cites Pkamnet: a transmission line insulator parallel-gap fault detection network based on prior knowledge transfer and attention mechanism,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Pkamnet: a transmission line insulator parallel-gap fault detection network based on prior knowledge transfer and attention mechanism,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:39:39.113491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T18:39:38.874390Z digest=sha256:28df7d6724c4b23f67bd8511a86b40587aa2d5996465e14b4fef315847ef8e41

Observation 24ebc1fa-9fba-4011-bdcd-45d437f85ddc · outbound

This paper cites Attention-based multimodal image feature fusion module for transmission line detection,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Attention-based multimodal image feature fusion module for transmission line detection,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:39:39.103097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T18:39:38.877719Z digest=sha256:8a2d4931daac0ba8bac04f6daa9deebdc36d90d5bbab7f891fbd072b5ced98ea

Observation 21a8ca47-745e-4c75-aa14-b63b9ff4c247 · outbound

This paper cites Ptsrdet: End- to-end super-resolution and object-detection approach for small defect detection of power transmission lines,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Ptsrdet: End- to-end super-resolution and object-detection approach for small defect detection of power transmission lines,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:39:39.090640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T18:39:38.881095Z digest=sha256:fc479553220b31ff3568d43652f168352e4a65bfb668daa0a5a15fa5ee37d57e

Observation 1e25d207-6684-439b-8801-fe1b6de8116e · outbound

This paper cites Transmission line component defect detection based on uav patrol images: A self- supervised hc-vit method,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Transmission line component defect detection based on uav patrol images: A self- supervised hc-vit method,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:39:39.078197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T18:39:38.884735Z digest=sha256:48ea555089491ab2fbb67809d0db3e9c31bd2aa5246d21af8111801a08ac20b6

Observation 3a5c388e-90f1-4a6b-8046-aee4026ec6ed · outbound

This paper cites Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-12T18:39:38.888167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:39:38.888167Z digest=sha256:ba8d72024c9e65f189e31bd29c3fd386a7bfcab85144a13418adbe0f684669b5

Observation 521d3b42-7750-4b7e-ad95-7710de142cb7 · outbound

This paper cites Exploring plain vision transformer backbones for object detection,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Exploring plain vision transformer backbones for object detection,

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-12T18:39:38.891767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:39:38.891767Z digest=sha256:9ff86c57066bafb6c57159215632c0e8cb1bba38eb10f1f56c393b9d6b02db6b

Observation 9d782ad1-10c2-491d-abb6-85ee8b7d8bb6 · outbound

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

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Faster r-cnn: Towards real-time object detection with region proposal networks,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-12T18:39:38.895145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:39:38.895145Z digest=sha256:8c36ebc0dce15164ab405cd58db42b48b8c8c079ed36bafd373c55d2005df99c

Observation d62b2ddf-1762-4b46-ba53-e5510490acb5 · outbound

This paper cites Cascade r-cnn: High quality object detection and instance segmentation,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Cascade r-cnn: High quality object detection and instance segmentation,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:39:39.052242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T18:39:38.898521Z digest=sha256:4b0653a5c884954cd2e397af9ffb64472a8e7c09f09c751af712241efe8d4340

Observation 5c52b809-e0e7-4e97-9503-8fd411c01d98 · outbound

This paper cites Sparse r-cnn: An end-to-end framework for object detection,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Sparse r-cnn: An end-to-end framework for object detection,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:39:39.041485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T18:39:38.901889Z digest=sha256:47d486352d55c81916ba27b02de0987d61b05889314d5974d3cf501c1e4e3b1d

Observation 884ee69a-7bcf-496d-b51a-9f64ed95d4ff · outbound

This paper cites Focal loss for dense object detection,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Focal loss for dense object detection,

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-12T18:39:38.905203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:39:38.905203Z digest=sha256:b9ba699326c20c0f052062afa9dac6c027884f66a9c560d0fee8a09c898c1ebf

Observation f08b31d3-d50b-45c3-816e-f995116418e4 · outbound

This paper cites RTMDet: An Empirical Study of Designing Real-Time Object Detectors.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining RTMDet: An Empirical Study of Designing Real-Time Object Detectors

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-12T18:39:38.908376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:39:38.908376Z digest=sha256:53d81dbcd264ef3a54d356f20a612aff48518ec72acea0d16762716bd471ff13

Observation 15441b8c-dd0b-4ba7-8b88-b42b5429fe9e · outbound

This paper cites Ultralytics YOLO,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Ultralytics YOLO,

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-12T18:39:38.912128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:39:38.912128Z digest=sha256:44e3ee34b02cdfb7adb08be3ed2dcdea24aa170b3eea142ccee55843bc1a0c56

Observation e7c37285-d4d9-4036-98b1-c9e0b2f5e21b · outbound

This paper cites End-to-end object detection with transformers,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining End-to-end object detection with transformers,

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-12T18:39:38.915378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:39:38.915378Z digest=sha256:d3b233a58665985c55aa9189b726c5064999ea3c0e580cc5be89419d5c6a85ac

Observation 32ab1f14-a87c-413f-a29a-c064b52abc92 · outbound

This paper cites Deformable detr: De- formable transformers for end-to-end object detection,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Deformable detr: De- formable transformers for end-to-end object detection,

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-12T18:39:38.918771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:39:38.918771Z digest=sha256:7682ce42c4895926ae085ff7ebbcf218283286c6b478b90ca50d44a9d69471f7

Observation fb37eb49-f15d-4456-9c90-fecdda252657 · outbound

This paper cites Conditional detr for fast training convergence,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Conditional detr for fast training convergence,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:39:39.006339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T18:39:38.922114Z digest=sha256:e04c4b0c95d0ea8679d17cd569f13a61802cea7136849af6f602d8618059ca25

Observation 81f86760-16d4-4fd5-a0e8-0a3dffdd01c0 · outbound

This paper cites Insulator defect detection under extreme weather based on synthetic weather algorithm and improved yolov7,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Insulator defect detection under extreme weather based on synthetic weather algorithm and improved yolov7,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:39:38.995244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T18:39:38.925751Z digest=sha256:a9024ddaa68bb525ce8f959d6cd2c4a0d5127856a2e659893fcb8aaeaa4882c4

Observation b6833ba6-fbd9-431c-b779-84c00b5a6b17 · outbound

This paper cites Pa-detr: End-to-end visually indistinguishable bolt defects detection method based on transmission line knowledge reasoning,.

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Pa-detr: End-to-end visually indistinguishable bolt defects detection method based on transmission line knowledge reasoning,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:39:38.983511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T18:39:38.929251Z digest=sha256:8530b2d76113cbdfaac054061af631233fefa459ad1d364ddaa55f95f0d8195c

Pith citing papers

No inbound Pith citation observations are available.