Paper Citation Record · LEDGER

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding

As of 8 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 1 inbound Pith citation observation for arXiv:2506.19288.

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

pith.paper-citation-record.v1
2506.19288 v2

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

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measured 58 of 58 standing notices

One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:19:24.701282Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

57 of 57 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d3528a83-a7ee-40c9-8223-310854cfe123 · outbound

This paper cites A data set for airborne maritime surveillance environments,.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding A data set for airborne maritime surveillance environments,

Reference 1

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Observation 27844cef-f1f5-49bf-89ae-bd96dc7abad6 · outbound

This paper cites Asy-vrnet: Waterway panoptic driving perception model based on asymmetric fair fusion of vision and 4d mmwave radar,.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Asy-vrnet: Waterway panoptic driving perception model based on asymmetric fair fusion of vision and 4d mmwave radar,

Reference 2

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Observation d187f314-9867-4cd8-92e4-20129d9884a0 · outbound

This paper cites Usvtrack: Usv-based 4d radar-camera tracking dataset for autonomous driving in inland waterways,.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Usvtrack: Usv-based 4d radar-camera tracking dataset for autonomous driving in inland waterways,

Reference 3

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Observation 58f25f48-1449-4749-baeb-add1f0d6227c · outbound

This paper cites Are we ready for unmanned surface vehicles in inland waterways? the usvinland multisensor dataset and benchmark,.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Are we ready for unmanned surface vehicles in inland waterways? the usvinland multisensor dataset and benchmark,

Reference 4

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Observation 2c3b71b9-e01b-4816-bcc3-40a397e49e88 · outbound

This paper cites Achelous: A fast unified water-surface panoptic perception framework based on fusion of monocular camera and 4d mmwave radar,.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Achelous: A fast unified water-surface panoptic perception framework based on fusion of monocular camera and 4d mmwave radar,

Reference 5

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Observation 79cf704c-20eb-4558-a91b-4e448572d1cc · outbound

This paper cites Achelous++: Power-Oriented Water-Surface Panoptic Perception Framework on Edge Devices based on Vision-Radar Fusion and Pruning of Heterogeneous Modalities.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Achelous++: Power-Oriented Water-Surface Panoptic Perception Framework on Edge Devices based on Vision-Radar Fusion and Pruning of Heterogeneous Modalities

Reference 6

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Observation 0576f8b1-8e07-4bea-8e14-96544a8f7a1f · outbound

This paper cites Watervg: Waterway visual grounding based on text-guided vision and mmwave radar,.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Watervg: Waterway visual grounding based on text-guided vision and mmwave radar,

Reference 7

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Observation 7f149857-30d3-4942-a92c-43a369d6c990 · outbound

This paper cites Microsoft COCO Captions: Data Collection and Evaluation Server.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Microsoft COCO Captions: Data Collection and Evaluation Server

Reference 8

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Observation 431507a3-2ede-4617-b2b5-ea98e04d71f4 · outbound

This paper cites Flickr30k entities: Collecting region-to-phrase correspondences for richer image-to-sentence models,.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Flickr30k entities: Collecting region-to-phrase correspondences for richer image-to-sentence models,

Reference 9

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Observation 7334db13-52ec-418f-87ab-77411f5f0147 · outbound

This paper cites Conceptual 12m: Pushing web-scale image-text pre-training to recognize long-tail visual concepts,.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Conceptual 12m: Pushing web-scale image-text pre-training to recognize long-tail visual concepts,

Reference 10

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Observation 601eddcf-5424-4c4d-a648-0289034f962a · outbound

This paper cites Im2text: Describing images using 1 million captioned photographs,.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Im2text: Describing images using 1 million captioned photographs,

Reference 11

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Observation da03011a-f677-40e5-b2df-e04dad77a848 · outbound

This paper cites Vizwiz grand challenge: Answering visual questions from blind people,.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Vizwiz grand challenge: Answering visual questions from blind people,

Reference 12

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Observation e1d16594-950c-45b2-9659-bccd1f4ee483 · outbound

This paper cites Learning deep represen- tations of fine-grained visual descriptions,.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Learning deep represen- tations of fine-grained visual descriptions,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:13:04.957616Z

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Observation 2cb29d9f-7359-49d0-8fde-146b32fce0fe · outbound

This paper cites Fashion captioning: Towards generating accurate descrip- tions with semantic rewards,.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Fashion captioning: Towards generating accurate descrip- tions with semantic rewards,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:13:04.757576Z

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Observation 4022af13-e19d-43dc-918c-2f1726fbd04d · outbound

This paper cites Break- ingnews: Article annotation by image and text processing,.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Break- ingnews: Article annotation by image and text processing,

Reference 15

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Observation 75037dd3-a52a-4951-b344-c6a3f57d8f03 · outbound

This paper cites Textcaps: a dataset for image captioning with reading comprehension,.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Textcaps: a dataset for image captioning with reading comprehension,

Reference 16

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Observation 329a93c2-2979-4e66-b914-a3310f0f000e · outbound

This paper cites Deep learning approaches on image captioning: A review,.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Deep learning approaches on image captioning: A review,

Reference 17

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Observation 5ebd6dec-ff85-48d5-ba1d-f98c01e19e20 · outbound

This paper cites Waterscenes: A multi-task 4d radar-camera fusion dataset and benchmarks for autonomous driving on water surfaces,.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Waterscenes: A multi-task 4d radar-camera fusion dataset and benchmarks for autonomous driving on water surfaces,

Reference 18

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Observation 8a1acd54-b7bc-4ea2-8881-6048d843805c · outbound

This paper cites an unresolved cited work.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Unresolved cited work

Reference 19

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Observation c198008a-e337-447b-8511-0a07ceeeca1c · outbound

This paper cites MobileVLM V2: Faster and Stronger Baseline for Vision Language Model.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding MobileVLM V2: Faster and Stronger Baseline for Vision Language Model

Reference 20

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Observation dfaff453-8f72-497a-862d-28849e747998 · outbound

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

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Learning transferable visual models from natural language supervision,

Reference 21

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Observation a0c4bf0c-1a5d-4af1-aaf4-e86de4796e50 · outbound

This paper cites Align before fuse: Vision and language representation learning with momentum distillation,.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Align before fuse: Vision and language representation learning with momentum distillation,

Reference 22

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Observation 615558af-e3db-48dd-94ec-a9b5986425d3 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,

Reference 23

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Observation 8d91ef8b-87e7-4f03-b628-b2e580385b65 · outbound

This paper cites Blip-2: Bootstrapping language- image pre-training with frozen image encoders and large language models,.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Blip-2: Bootstrapping language- image pre-training with frozen image encoders and large language models,

Reference 24

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Observation 811bea4f-c2ec-423b-9955-40aacfb6ac4f · outbound

This paper cites Visual instruction tuning,.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Visual instruction tuning,

Reference 25

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Observation 7e759b75-38a1-4828-a366-2cae7131c08d · outbound

This paper cites Qwen2. 5 technical report,.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Qwen2. 5 technical report,

Reference 26

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Observation 3174bdf5-d3e6-42cf-a494-b862fee32ba3 · outbound

This paper cites Task-adaptive attention for image captioning,.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Task-adaptive attention for image captioning,

Reference 27

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Source-reported events for the cited work

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Observation f5901940-4ad3-43da-97f9-3d76d4d4e981 · outbound

This paper cites Vision-enhanced and consensus- aware transformer for image captioning,.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Vision-enhanced and consensus- aware transformer for image captioning,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:13:03.193848Z

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Observation b1cb9332-8d86-436e-8410-4221571f69a7 · outbound

This paper cites Adaptive path selection for dynamic image captioning,.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Adaptive path selection for dynamic image captioning,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:13:02.958702Z

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Observation c81c2a21-60cd-4941-b0fa-f8d52be3c83e · outbound

This paper cites Double-stream position learning trans- JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015 14 former network for image captioning,.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Double-stream position learning trans- JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015 14 former network for image captioning,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:13:02.744958Z

Source-reported events for the cited work

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Observation 4ebe8d1e-bf2b-449c-8e2e-150ce11c4437 · outbound

This paper cites A comprehen- sive survey of 3d dense captioning: Localizing and describing objects in 3d scenes,.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding A comprehen- sive survey of 3d dense captioning: Localizing and describing objects in 3d scenes,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:13:02.556920Z

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Observation 31978f6c-b1d4-4a7c-a8c2-79ae2febe81b · outbound

This paper cites Spt: Spatial pyramid transformer for image captioning,.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Spt: Spatial pyramid transformer for image captioning,

Reference 32

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Observation c05fa789-e8b7-46ba-b3e6-d75d53bcf8d7 · outbound

This paper cites Multimodal transformer with multi- view visual representation for image captioning,.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Multimodal transformer with multi- view visual representation for image captioning,

Reference 33

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Observation ccabe1f6-81d6-4c7e-9296-bd3d434b7c5b · outbound

This paper cites MobileVLM: A Vision-Language Model for Better Intra- and Inter-UI Understanding.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding MobileVLM: A Vision-Language Model for Better Intra- and Inter-UI Understanding

Reference 34

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Observation c5e489b2-72b8-42ec-b315-0eda9e0dcf3a · outbound

This paper cites Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks,.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks,

Reference 35

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Observation 500fdbab-b469-46d2-af42-cf3f814ed487 · outbound

This paper cites MiniCPM-V: A GPT-4V Level MLLM on Your Phone.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding MiniCPM-V: A GPT-4V Level MLLM on Your Phone

Reference 36

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Observation edbf4cf7-badf-40a5-b9ba-4172a7c575d7 · outbound

This paper cites TinyLLaVA: A Framework of Small-scale Large Multimodal Models.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding TinyLLaVA: A Framework of Small-scale Large Multimodal Models

Reference 37

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Observation aa0ae569-7531-44af-8e29-9d3b379ef496 · outbound

This paper cites Mask-vrdet: A robust riverway panoptic perception model based on dual graph fusion of vision and 4d mmwave radar,.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Mask-vrdet: A robust riverway panoptic perception model based on dual graph fusion of vision and 4d mmwave radar,

Reference 38

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Observation af2b816b-3b25-4b3c-b476-0dcaae6dfda0 · outbound

This paper cites NanoMVG: USV-Centric Low-Power Multi-Task Visual Grounding based on Prompt-Guided Camera and 4D mmWave Radar.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding NanoMVG: USV-Centric Low-Power Multi-Task Visual Grounding based on Prompt-Guided Camera and 4D mmWave Radar

Reference 39

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Observation 6cab96c3-08cf-4e27-9026-62cc3e78ca61 · outbound

This paper cites GPT-4 Technical Report.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding GPT-4 Technical Report

Reference 40

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Observation 081bb90d-1ec1-4d9d-bdec-b68e315506ea · outbound

This paper cites DeepSeek-V3 Technical Report.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding DeepSeek-V3 Technical Report

Reference 41

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Source-reported events for the cited work

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Observation 2111c1d1-a8db-441d-b219-6cc38c9c150c · outbound

This paper cites Mobileclip: Fast image-text models through multi-modal reinforced training,.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Mobileclip: Fast image-text models through multi-modal reinforced training,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:13:01.851137Z

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Observation 0c5fce76-134f-4e97-a4e0-9e70b75f8a98 · outbound

This paper cites Coca: Contrastive captioners are image-text foundation models,.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Coca: Contrastive captioners are image-text foundation models,

Reference 43

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Source-reported events for the cited work

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Observation d61b9442-439c-4671-96b3-98a58e1265df · outbound

This paper cites Sigmoid loss for language image pre-training,.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Sigmoid loss for language image pre-training,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:57.922031Z

Source-reported events for the cited work

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Observation 7bd0ff1f-2783-425c-8f03-d20c7b35d236 · outbound

This paper cites Agent attention: On the integration of softmax and linear attention,.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Agent attention: On the integration of softmax and linear attention,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:13:01.649115Z

Source-reported events for the cited work

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Observation abb2ff5e-e04c-496d-9c7a-99f5e45d3fe4 · outbound

This paper cites Dual-level collaborative transformer for image captioning,.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Dual-level collaborative transformer for image captioning,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:13:01.360157Z

Source-reported events for the cited work

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Observation 810a7100-652f-4612-bdfb-ef681593103d · outbound

This paper cites Comprehending and ordering seman- tics for image captioning,.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Comprehending and ordering seman- tics for image captioning,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:13:01.148678Z

Source-reported events for the cited work

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Observation c1a5c21e-a9df-45cd-b725-08b75466a7fa · outbound

This paper cites Oscar: Object-semantics aligned pre-training for vision-language tasks,.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Oscar: Object-semantics aligned pre-training for vision-language tasks,

Reference 48

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Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Unresolved cited work

Reference 49

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Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Qwen2.5-VL Technical Report

Reference 50

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Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding MultiWay-Adapater: Adapting large-scale multi-modal models for scalable image-text retrieval

Reference 51

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This paper cites Rouge: A package for automatic evaluation of summaries,.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Rouge: A package for automatic evaluation of summaries,

Reference 52

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Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Bleu: a method for automatic evaluation of machine translation,

Reference 53

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This paper cites Lavie and A.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Lavie and A

Reference 54

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This paper cites Cider: Consensus- based image description evaluation,.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Cider: Consensus- based image description evaluation,

Reference 55

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This paper cites Drivelm: Driving with graph visual question answering,.

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Drivelm: Driving with graph visual question answering,

Reference 56

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Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding Unresolved cited work

Reference 96

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Pith citing papers

Observation 9fdddfd6-4ace-4f4d-9d43-1eb7af353c64 · inbound

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey cites this paper.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding

Reference 64

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