MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval | Paper Citation Record

Observation b0c0aa15-cc85-4c71-a286-484f31741ef5 · outbound

This paper cites Overview and current status of remote sensing applications based on unmanned aerial vehicles (uavs),.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Overview and current status of remote sensing applications based on unmanned aerial vehicles (uavs),

Reference 1

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Observation 9a324bb2-db7c-440f-824b-071e0ab3a1d3 · outbound

This paper cites Unmanned aerial systems for photogram- metry and remote sensing: A review - sciencedirect,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Unmanned aerial systems for photogram- metry and remote sensing: A review - sciencedirect,

Reference 2

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Observation 2dc5533e-70c2-4138-9b5c-7f339c05fd3e · outbound

This paper cites Uavs challenge to assess water stress for sustainable agriculture,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Uavs challenge to assess water stress for sustainable agriculture,

Reference 3

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Observation b8765432-905a-40af-8f8a-1a490c021249 · outbound

This paper cites Sustainable agriculture by increasing nitrogen fertilizer efficiency using low-resolution camera mounted on unmanned aerial vehicles.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Sustainable agriculture by increasing nitrogen fertilizer efficiency using low-resolution camera mounted on unmanned aerial vehicles

Reference 4

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This paper cites an unresolved cited work.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Unresolved cited work

Reference 5

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Observation 90b5870b-ae9f-4d53-ac0c-6c1efecb6d73 · outbound

This paper cites Visible-thermal UA V tracking: A large-scale benchmark and new baseline,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Visible-thermal UA V tracking: A large-scale benchmark and new baseline,

Reference 6

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Observation 4b1acb93-97e2-4dce-84b4-eaff330f7baa · outbound

This paper cites High-resolution feature pyramid network for small object detection on drone view,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval High-resolution feature pyramid network for small object detection on drone view,

Reference 7

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Observation 43aab4db-a5c4-463e-bdf8-2b815cc304d3 · outbound

This paper cites EarthNets: Empowering AI in Earth Observation.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval EarthNets: Empowering AI in Earth Observation

Reference 8

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Observation a8e3df58-a671-41e1-b783-544495bf167e · outbound

This paper cites Sdanet: Semantic- embedded density adaptive network for moving vehicle detection in satellite videos,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Sdanet: Semantic- embedded density adaptive network for moving vehicle detection in satellite videos,

Reference 9

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Observation e5ee1637-38b1-4c68-bf0c-e4ad8138e9e0 · outbound

This paper cites Pareto refocusing for drone-view object detection,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Pareto refocusing for drone-view object detection,

Reference 10

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Observation 4436b924-fa26-430b-96de-42e4be59cc48 · outbound

This paper cites Temporal-spatial feature interac- tion network for multi-drone multi-object tracking,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Temporal-spatial feature interac- tion network for multi-drone multi-object tracking,

Reference 11

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Observation 7c74a6b5-40d5-44cb-b2e5-442fca50f8a0 · outbound

This paper cites Cross-drone transformer network for robust single object tracking,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Cross-drone transformer network for robust single object tracking,

Reference 12

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Observation 2ef94245-84c3-4cb3-a8e7-e4fe1b743173 · outbound

This paper cites Transformer- based spatio-temporal unsupervised traffic anomaly detection in aerial videos,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Transformer- based spatio-temporal unsupervised traffic anomaly detection in aerial videos,

Reference 13

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Observation f9d4e355-cd8d-4900-8728-6c95121940a6 · outbound

This paper cites Visual contextual semantic reasoning for cross-modal drone image-text retrieval,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Visual contextual semantic reasoning for cross-modal drone image-text retrieval,

Reference 14

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Observation 9441b470-f639-4d38-9f0a-322d8002046a · outbound

This paper cites Deep saliency smoothing hashing for drone image retrieval,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Deep saliency smoothing hashing for drone image retrieval,

Reference 15

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Observation 1bb93069-d2d8-40de-92e8-c24abffa9d10 · outbound

This paper cites Uav-human: A large benchmark for human behavior understanding with unmanned aerial vehicles,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Uav-human: A large benchmark for human behavior understanding with unmanned aerial vehicles,

Reference 16

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Observation 47de33d5-058a-4de1-ad42-b20c3d5df04c · outbound

This paper cites Multi-modal transformer for video retrieval,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Multi-modal transformer for video retrieval,

Reference 17

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Observation 6ee3c2bb-ee3c-4523-b65a-165f8d75eb13 · outbound

This paper cites Towards Video Anomaly Retrieval from Video Anomaly Detection: New Benchmarks and Model.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Towards Video Anomaly Retrieval from Video Anomaly Detection: New Benchmarks and Model

Reference 18

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Observation da72a306-d5d3-4c31-b58a-599f17bb7e8a · outbound

This paper cites Multilevel semantic interaction alignment for video-text cross-modal retrieval,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Multilevel semantic interaction alignment for video-text cross-modal retrieval,

Reference 19

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Observation 60aa7b8b-24f2-4e87-a95e-39345f62f1d4 · outbound

This paper cites Videoclip: Contrastive pre- training for zero-shot video-text understanding,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Videoclip: Contrastive pre- training for zero-shot video-text understanding,

Reference 20

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Observation 93c71b1d-601f-4056-8acf-fcd1f85765aa · outbound

This paper cites T2VLAD: global-local sequence alignment for text-video retrieval,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval T2VLAD: global-local sequence alignment for text-video retrieval,

Reference 21

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Observation f26efacf-4cd4-448b-b021-45248dea36ad · outbound

This paper cites CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval

Reference 22

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Observation d77365a2-c24e-47af-8c97-2dfa1d583892 · outbound

This paper cites Centerclip: Token clustering for efficient text-video retrieval,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Centerclip: Token clustering for efficient text-video retrieval,

Reference 23

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Observation b3ed3792-c2ec-42b0-9593-42dd6fb4828e · outbound

This paper cites X-pool: Cross-modal language-video attention for text-video retrieval,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval X-pool: Cross-modal language-video attention for text-video retrieval,

Reference 24

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Observation 6c5e0c6e-f8a6-4630-a73f-a9b81851972e · outbound

This paper cites X-CLIP: end-to- end multi-grained contrastive learning for video-text retrieval,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval X-CLIP: end-to- end multi-grained contrastive learning for video-text retrieval,

Reference 25

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Observation d5c3f83a-82f4-4d47-98b6-37f333a9780c · outbound

This paper cites Less is more: Clipbert for video-and-language learning via sparse sampling,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Less is more: Clipbert for video-and-language learning via sparse sampling,

Reference 26

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Observation c9803a14-b0eb-430d-a80d-598ef9db6fcb · outbound

This paper cites Frozen in time: A joint video and image encoder for end-to-end retrieval,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Frozen in time: A joint video and image encoder for end-to-end retrieval,

Reference 27

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This paper cites Align and tell: Boosting text-video retrieval with local alignment and fine-grained supervision,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Align and tell: Boosting text-video retrieval with local alignment and fine-grained supervision,

Reference 28

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Observation c2c5b1f2-781e-4669-9972-6dbc07a29a33 · outbound

This paper cites Ts2-net: Token shift and selection transformer for text-video retrieval,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Ts2-net: Token shift and selection transformer for text-video retrieval,

Reference 29

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Observation 8f527a65-d759-4557-84a5-aa1fdfbb1fb7 · outbound

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MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Unresolved cited work

Reference 30

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Observation ee628d70-cb9f-4f04-8bbf-bb9e9d5be3f5 · outbound

This paper cites Modeling uncertainty with hedged instance embeddings,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Modeling uncertainty with hedged instance embeddings,

Reference 31

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Observation f782ef05-09e4-4362-ad43-99079a6f13f7 · outbound

This paper cites Probabilistic face embeddings,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Probabilistic face embeddings,

Reference 32

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This paper cites Data uncertainty learning in face recognition,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Data uncertainty learning in face recognition,

Reference 33

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This paper cites View- invariant probabilistic embedding for human pose,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval View- invariant probabilistic embedding for human pose,

Reference 34

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Observation 873e0b6f-5d08-406b-bf91-ed57d0c74aef · outbound

This paper cites Probabilistic embeddings for cross-modal retrieval,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Probabilistic embeddings for cross-modal retrieval,

Reference 35

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This paper cites UATVR: uncertainty-adaptive text-video retrieval,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval UATVR: uncertainty-adaptive text-video retrieval,

Reference 36

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Observation 1b20c5da-334b-4528-b4f4-4aed9c1dc539 · outbound

This paper cites FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks

Reference 37

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Observation e4161197-3ad7-4cc3-96fb-2cad8ccf6042 · outbound

This paper cites Position-guided Text Prompt for Vision-Language Pre-training.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Position-guided Text Prompt for Vision-Language Pre-training

Reference 38

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Observation 55782fe3-41b3-400b-84f8-223174cbb07d · outbound

This paper cites Multi-Modal Representation Learning with Text-Driven Soft Masks.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Multi-Modal Representation Learning with Text-Driven Soft Masks

Reference 39

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This paper cites GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis

Reference 40

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Observation b90c1fea-d017-40a4-8b86-c7722c51034b · outbound

This paper cites MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis

Reference 41

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This paper cites Towards accurate text-based image captioning with content diversity exploration,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Towards accurate text-based image captioning with content diversity exploration,

Reference 42

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This paper cites Show and tell: A neural image caption generator,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Show and tell: A neural image caption generator,

Reference 43

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This paper cites Deep visual-semantic alignments for generating image descriptions,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Deep visual-semantic alignments for generating image descriptions,

Reference 44

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This paper cites Visual semantic reasoning for image-text matching,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Visual semantic reasoning for image-text matching,

Reference 45

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This paper cites Conditional prompt learning for vision-language models,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Conditional prompt learning for vision-language models,

Reference 46

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This paper cites Bridging video-text retrieval with multiple choice questions,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Bridging video-text retrieval with multiple choice questions,

Reference 47

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MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Visual abductive reasoning,

Reference 48

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This paper cites Membridge: Video-language pre-training with memory- augmented inter-modality bridge,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Membridge: Video-language pre-training with memory- augmented inter-modality bridge,

Reference 49

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Observation 923334b6-6923-4ac6-834c-51880dc0bc68 · outbound

This paper cites A straightforward framework for video retrieval using CLIP,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval A straightforward framework for video retrieval using CLIP,

Reference 50

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This paper cites Hisa: Hierarchically semantic associating for video temporal grounding,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Hisa: Hierarchically semantic associating for video temporal grounding,

Reference 51

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This paper cites Concept-aware video captioning: Describing videos with effective prior information,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Concept-aware video captioning: Describing videos with effective prior information,

Reference 52

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This paper cites Hierarchical representation network with auxiliary tasks for video captioning and video question answering,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Hierarchical representation network with auxiliary tasks for video captioning and video question answering,

Reference 53

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This paper cites Cross-attentional spatio-temporal semantic graph networks for video question answering,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Cross-attentional spatio-temporal semantic graph networks for video question answering,

Reference 54

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This paper cites Adaptive spatio- temporal graph enhanced vision-language representation for video QA,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Adaptive spatio- temporal graph enhanced vision-language representation for video QA,

Reference 55

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This paper cites Exploring language hierarchy for video grounding,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Exploring language hierarchy for video grounding,

Reference 56

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Observation d75c092c-1544-43d0-a39e-b17988689ab7 · outbound

This paper cites Layer Normalization.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Layer Normalization

Reference 57

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Observation 66a2ca70-a2d6-4263-b222-c076b00d3a6c · outbound

This paper cites Attention is all you need,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Attention is all you need,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-04T09:27:32.180909Z

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Observation a18ce8eb-18a6-408f-8d67-a1f5f22e59de · outbound

This paper cites ERA: A Dataset and Deep Learning Benchmark for Event Recognition in Aerial Videos.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval ERA: A Dataset and Deep Learning Benchmark for Event Recognition in Aerial Videos

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-04T09:27:32.357873Z

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Observation 68194454-ded6-4e32-918d-2dfbe69aee6b · outbound

This paper cites ShareGPT4V: Improving Large Multi-Modal Models with Better Captions.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval ShareGPT4V: Improving Large Multi-Modal Models with Better Captions

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-04T09:27:32.462871Z

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Observation 470f4a6b-2dfe-4047-8fdb-ddbf8073072c · outbound

This paper cites Decoupled weight decay regularization,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Decoupled weight decay regularization,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-04T09:27:32.572859Z

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Observation f834c26c-f347-4705-9ba6-bb0f73c85096 · outbound

This paper cites SGDR: stochastic gradient descent with warm restarts,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval SGDR: stochastic gradient descent with warm restarts,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-04T09:27:32.630351Z

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Observation 75667931-de7d-47aa-a09f-601be6a4bd2d · outbound

This paper cites Disentangled Representation Learning for Text-Video Retrieval.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Disentangled Representation Learning for Text-Video Retrieval

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-04T09:27:32.734611Z

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Observation aef1d775-333c-4235-b609-b219180a5b23 · outbound

This paper cites Unified coarse-to-fine alignment for video-text retrieval,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Unified coarse-to-fine alignment for video-text retrieval,

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-04T09:27:32.792332Z

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Observation 7db79281-f41a-4fcb-9d0b-321f8338fdf3 · outbound

This paper cites Text is MASS: modeling as stochastic embedding for text- video retrieval,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Text is MASS: modeling as stochastic embedding for text- video retrieval,

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-04T09:27:32.873537Z

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Observation 6e4f03fb-4a4a-41b7-b328-e08aab1cbf7c · outbound

This paper cites DGL: dynamic global-local prompt tuning for text-video retrieval,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval DGL: dynamic global-local prompt tuning for text-video retrieval,

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-04T09:27:32.954982Z

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Observation 0777012d-2953-4d31-9fae-33978252ff21 · outbound

This paper cites Text-video retrieval with global-localsemantic consistent learning,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Text-video retrieval with global-localsemantic consistent learning,

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-04T09:27:33.087130Z

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Observation e1a50d70-ce7a-42e3-ae7c-798b52a53934 · outbound

This paper cites Tempme: Video temporal token merging for efficient text-video re- trieval,.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval Tempme: Video temporal token merging for efficient text-video re- trieval,

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-04T09:27:33.138881Z

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