Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives | Paper Citation Record

Observation 3c13e333-f01a-4f75-a0a5-affae0186252 · outbound

This paper cites Rsgpt: A remote sensing vision language model and benchmark,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Rsgpt: A remote sensing vision language model and benchmark,

Reference 1

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Observation 4d061b49-c907-4ddc-8d88-e98eff39cea3 · outbound

This paper cites Remoteclip: A vision language foundation model for remote sensing,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Remoteclip: A vision language foundation model for remote sensing,

Reference 2

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Observation 28528bda-18a9-4da0-9c19-e9106bba1398 · outbound

This paper cites Geochat: Grounded large vision-language model for remote sensing,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Geochat: Grounded large vision-language model for remote sensing,

Reference 3

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Observation 7edb7424-6f49-4b1a-844d-b3c0ca45e78f · outbound

This paper cites Remote sensing vision-language foundation models without annotations via ground remote alignment,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Remote sensing vision-language foundation models without annotations via ground remote alignment,

Reference 4

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Observation 80c7a8fa-64c7-4355-a09c-ba621b435a22 · outbound

This paper cites Skyeyegpt: Unifying remote sens- ing vision-language tasks via instruction tuning with large language model,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Skyeyegpt: Unifying remote sens- ing vision-language tasks via instruction tuning with large language model,

Reference 5

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Observation 8317d75c-4ee6-4c4c-aa23-a0b09e186326 · outbound

This paper cites Earthgpt: A universal multimodal large language model for multisensor image com- prehension in remote sensing domain,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Earthgpt: A universal multimodal large language model for multisensor image com- prehension in remote sensing domain,

Reference 6

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Observation 9f968775-1c81-4dba-934d-ea48443625d5 · outbound

This paper cites Rs5m and georsclip: A large scale vision-language dataset and a large vision-language model for remote sensing,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Rs5m and georsclip: A large scale vision-language dataset and a large vision-language model for remote sensing,

Reference 7

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Observation 7991c0ca-874f-437a-bf88-f02088e1cb2d · outbound

This paper cites Skyscript: A large and semantically diverse vision-language dataset for remote sensing,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Skyscript: A large and semantically diverse vision-language dataset for remote sensing,

Reference 8

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Observation 85e592d4-8a4d-4a9b-8181-be5747a519a5 · outbound

This paper cites Lhrs-bot: Empowering remote sensing with vgi-enhanced large multimodal language model,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Lhrs-bot: Empowering remote sensing with vgi-enhanced large multimodal language model,

Reference 9

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Observation 6cf05be3-18b1-49f7-9990-60f465189842 · outbound

This paper cites Rs- llava: A large vision-language model for joint captioning and question answering in remote sensing imagery,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Rs- llava: A large vision-language model for joint captioning and question answering in remote sensing imagery,

Reference 10

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Observation 9ae29f85-5d1f-4171-9a1e-bd4620c1b678 · outbound

This paper cites SkySenseGPT: A Fine-Grained Instruction Tuning Dataset and Model for Remote Sensing Vision-Language Understanding.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives SkySenseGPT: A Fine-Grained Instruction Tuning Dataset and Model for Remote Sensing Vision-Language Understanding

Reference 11

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Observation ff8d6127-e1ca-42d2-a67d-78004064ca42 · outbound

This paper cites Vrsbench: A versatile vision- language benchmark dataset for remote sensing image understanding,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Vrsbench: A versatile vision- language benchmark dataset for remote sensing image understanding,

Reference 12

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Observation 7e6441a9-928e-4ed8-ab1a-d9411385a790 · outbound

This paper cites Changeclip: Remote sens- ing change detection with multimodal vision-language representation learning,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Changeclip: Remote sens- ing change detection with multimodal vision-language representation learning,

Reference 13

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Observation 21ec66ba-65ee-4a29-8c3a-e81b9062f7dc · outbound

This paper cites Rs-clip: Zero shot remote sensing scene classification via contrastive vision-language supervision,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Rs-clip: Zero shot remote sensing scene classification via contrastive vision-language supervision,

Reference 14

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Observation cb51dcff-43d7-4a42-8371-a7f4ee1c1383 · outbound

This paper cites Mind the Modality Gap: Towards a Remote Sensing Vision-Language Model via Cross-modal Alignment.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Mind the Modality Gap: Towards a Remote Sensing Vision-Language Model via Cross-modal Alignment

Reference 15

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Observation c5713cf3-7683-4486-8685-24b06828bc24 · outbound

This paper cites Towards vision-language geo-foundation model: A survey,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Towards vision-language geo-foundation model: A survey,

Reference 16

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Observation 58a77bdf-717b-4601-bf47-2ba6fece9281 · outbound

This paper cites Vision-language models in remote sensing: Current progress and future trends,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Vision-language models in remote sensing: Current progress and future trends,

Reference 17

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Observation 2ddba138-6449-4a73-a96c-46fe659847aa · outbound

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

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives S-clip: Semi-supervised vision- language learning using few specialist captions,

Reference 18

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Observation 962fc3d3-1b70-4987-8969-f0e56291152f · outbound

This paper cites Multi-view feature fusion and visual prompt for remote sensing image captioning,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Multi-view feature fusion and visual prompt for remote sensing image captioning,

Reference 19

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Observation 34fe4cf5-db90-46af-aa20-a628f1c79d1a · outbound

This paper cites Vision- language models for zero-shot classification of remote sensing images,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Vision- language models for zero-shot classification of remote sensing images,

Reference 20

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Observation 4591f1d6-c747-4afb-a06f-509911022cc7 · outbound

This paper cites Detecting cloud presence in satellite images using the rgb-based clip vision-language model,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Detecting cloud presence in satellite images using the rgb-based clip vision-language model,

Reference 21

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Observation 8fa01820-6df0-413f-8c19-17a775d5a98f · outbound

This paper cites Chatearthnet: a global- scale image-text dataset empowering vision-language geo-foundation models,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Chatearthnet: a global- scale image-text dataset empowering vision-language geo-foundation models,

Reference 22

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Observation 9e13967b-f96d-4e1f-8a9b-3c50c95f9267 · outbound

This paper cites Bi-modal transformer-based approach for visual question answering in remote sensing imagery,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Bi-modal transformer-based approach for visual question answering in remote sensing imagery,

Reference 23

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Observation e010fd27-cd52-4b66-9022-b49a6f7b66c6 · outbound

This paper cites Popeye: A unified visual-language model for multi-source ship detection from remote sensing imagery,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Popeye: A unified visual-language model for multi-source ship detection from remote sensing imagery,

Reference 24

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Observation f5d64ec1-2d08-49b0-9e2b-c884b2e27c38 · outbound

This paper cites Deep semantic-visual alignment for zero-shot remote sensing image scene classification,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Deep semantic-visual alignment for zero-shot remote sensing image scene classification,

Reference 25

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Observation 50a34e47-9fbc-4ba5-b65b-6eb24e18de1f · outbound

This paper cites Set-CLIP: Exploring Aligned Semantic From Low-Alignment Multimodal Data Through A Distribution View.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Set-CLIP: Exploring Aligned Semantic From Low-Alignment Multimodal Data Through A Distribution View

Reference 26

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Observation 069b0439-49c8-441e-9d6e-9e43c7c134ad · outbound

This paper cites Segment change model (scm) for unsupervised change detection in vhr remote sensing images: a case study of buildings,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Segment change model (scm) for unsupervised change detection in vhr remote sensing images: a case study of buildings,

Reference 27

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Observation dc1962f1-fe34-4f97-86b0-e2b6d62e2dde · outbound

This paper cites A new learning paradigm for foundation model-based remote-sensing change detection,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives A new learning paradigm for foundation model-based remote-sensing change detection,

Reference 28

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Observation 2cc03d95-bcea-4853-aaac-ce83c706e8de · outbound

This paper cites Vlca: vision-language aligning model with cross-modal attention for bilingual remote sensing image captioning,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Vlca: vision-language aligning model with cross-modal attention for bilingual remote sensing image captioning,

Reference 29

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Observation 1c232cf3-5270-4340-81cf-8ad1dd03c2ae · outbound

This paper cites RS-GPT4V: A Unified Multimodal Instruction-Following Dataset for Remote Sensing Image Understanding.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives RS-GPT4V: A Unified Multimodal Instruction-Following Dataset for Remote Sensing Image Understanding

Reference 30

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Observation 0ddae0ae-3251-4bcb-a412-0779d4648ae9 · outbound

This paper cites Luojiahog: A hierarchy oriented geo-aware image caption dataset for remote sensing image–text retrieval,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Luojiahog: A hierarchy oriented geo-aware image caption dataset for remote sensing image–text retrieval,

Reference 31

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Observation 2df3449b-f06b-4bfa-9f43-30aabb12c296 · outbound

This paper cites SATIN: A Multi-Task Metadataset for Classifying Satellite Imagery using Vision-Language Models.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives SATIN: A Multi-Task Metadataset for Classifying Satellite Imagery using Vision-Language Models

Reference 32

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Observation 5f9f3b49-df9d-41cb-84d2-ad5c436dd404 · outbound

This paper cites Rsvg: Exploring data and models for visual grounding on remote sensing data,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Rsvg: Exploring data and models for visual grounding on remote sensing data,

Reference 33

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Observation 7fca31d7-7a71-41d2-8110-f68cd29bebeb · outbound

This paper cites Good at captioning bad at counting: Bench- marking gpt-4v on earth observation data,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Good at captioning bad at counting: Bench- marking gpt-4v on earth observation data,

Reference 34

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Observation 240f4edb-64b2-4d99-8446-17152f569de6 · outbound

This paper cites Satclip: Global, general-purpose location embeddings with satellite imagery,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Satclip: Global, general-purpose location embeddings with satellite imagery,

Reference 35

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Observation c9e19baa-94ff-4442-b24d-75d4b146fd5b · outbound

This paper cites GeoCLIP: Clip-inspired alignment between locations and images for effective worldwide geo- localization,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives GeoCLIP: Clip-inspired alignment between locations and images for effective worldwide geo- localization,

Reference 36

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Observation b222e3fc-c3be-4be3-9492-1c3235c67cf6 · outbound

This paper cites Csp: Self-supervised contrastive spatial pre-training for geospatial-visual representations,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Csp: Self-supervised contrastive spatial pre-training for geospatial-visual representations,

Reference 37

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Observation 5d3d29a9-925a-4789-a9e6-abb55d56fc23 · outbound

This paper cites Diffusionsat: A generative foundation model for satellite imagery,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Diffusionsat: A generative foundation model for satellite imagery,

Reference 38

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Observation d0624a66-64f5-40d7-a41d-597b684d9ab1 · outbound

This paper cites Crs-diff: Controllable remote sensing image generation with diffusion model,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Crs-diff: Controllable remote sensing image generation with diffusion model,

Reference 39

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Observation 431fd769-708a-4b4e-a89a-6f1e0aa122f9 · outbound

This paper cites Practical techniques for vision- language segmentation model in remote sensing,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Practical techniques for vision- language segmentation model in remote sensing,

Reference 40

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Observation 023dc923-3566-4b26-b689-2de62c972118 · outbound

This paper cites Text2seg: Zero-shot remote sensing image semantic segmentation via text-guided visual foundation models,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Text2seg: Zero-shot remote sensing image semantic segmentation via text-guided visual foundation models,

Reference 41

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Observation 261f59c7-267d-4a7e-96e2-a68940a51f15 · outbound

This paper cites A decoupling paradigm with prompt learning for remote sensing image change captioning,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives A decoupling paradigm with prompt learning for remote sensing image change captioning,

Reference 42

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Observation 97d41679-a69e-41ca-81bb-4d27abffb58a · outbound

This paper cites Bootstrapping interactive image-text alignment for remote sensing image captioning,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Bootstrapping interactive image-text alignment for remote sensing image captioning,

Reference 43

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Observation 92996c50-923f-42e7-8516-296d00d0c1d0 · outbound

This paper cites Text- guided diverse image synthesis for long-tailed remote sensing object classification,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Text- guided diverse image synthesis for long-tailed remote sensing object classification,

Reference 44

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Observation 16f4bd2c-0ffd-4064-b3b6-752a3595ac07 · outbound

This paper cites Object detection in aerial images: A large-scale benchmark and challenges,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Object detection in aerial images: A large-scale benchmark and challenges,

Reference 45

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Observation 977c3415-671e-43ac-87f8-48948426a08b · outbound

This paper cites InstructBLIP: Towards general-purpose vision-language models with instruction tuning,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives InstructBLIP: Towards general-purpose vision-language models with instruction tuning,

Reference 46

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Observation 2865e876-251a-47f7-8822-0dba7d917d7c · outbound

This paper cites Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality,

Reference 47

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Observation dd525767-374d-41b4-90ae-70d878c23db1 · outbound

This paper cites Learning to rank question answer pairs with holographic dual lstm architecture,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Learning to rank question answer pairs with holographic dual lstm architecture,

Reference 48

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Observation 83d2cb6a-951f-4d5b-a5ad-3acb6ec24634 · outbound

This paper cites Improved baselines with visual instruction tuning,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Improved baselines with visual instruction tuning,

Reference 49

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Observation 9c5386c5-479e-4fd6-b4ee-5584bb0148ef · outbound

This paper cites Lora: Low-rank adaptation of large language models,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Lora: Low-rank adaptation of large language models,

Reference 50

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Observation e2d88973-a7c8-495d-926d-da6955896f03 · outbound

This paper cites Object detection in optical remote sensing images: A survey and a new benchmark,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Object detection in optical remote sensing images: A survey and a new benchmark,

Reference 51

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Observation c585a361-a717-4c94-a5f9-7885947955af · outbound

This paper cites Fair1m: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Fair1m: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery,

Reference 52

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Observation 1929c793-e415-4b4d-9a32-587ad25b5520 · outbound

This paper cites Remote sensing image scene classifi- cation: Benchmark and state of the art,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Remote sensing image scene classifi- cation: Benchmark and state of the art,

Reference 53

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Observation 0a3af32e-b7a6-4bd1-a80a-7a6cdc3a5518 · outbound

This paper cites Rsvqa: Visual question answering for remote sensing data,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Rsvqa: Visual question answering for remote sensing data,

Reference 54

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Observation 7dc08abe-90cb-4c6b-b0d0-77e74f7a23d9 · outbound

This paper cites Floodnet: A high resolution aerial imagery dataset for post flood scene understanding,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Floodnet: A high resolution aerial imagery dataset for post flood scene understanding,

Reference 55

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This paper cites Eva: Exploring the limits of masked visual representation learning at scale,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Eva: Exploring the limits of masked visual representation learning at scale,

Reference 56

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This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 57

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Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives LLaMA: Open and Efficient Foundation Language Models

Reference 58

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Observation c88bc01b-3d2c-4893-8763-3df3bf9063a1 · outbound

This paper cites MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning

Reference 59

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This paper cites Exploring models and data for remote sensing image caption generation,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Exploring models and data for remote sensing image caption generation,

Reference 60

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This paper cites Exploring a fine-grained multiscale method for cross-modal remote sensing image retrieval,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Exploring a fine-grained multiscale method for cross-modal remote sensing image retrieval,

Reference 61

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Observation 89e8dec0-2306-41a3-8e16-e1017e737596 · outbound

This paper cites Deep semantic understanding of high resolution remote sensing image,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Deep semantic understanding of high resolution remote sensing image,

Reference 62

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Observation d18e7c63-ea7e-4c00-8f97-e88ef95621ac · outbound

This paper cites Nwpu- captions dataset and mlca-net for remote sensing image captioning,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Nwpu- captions dataset and mlca-net for remote sensing image captioning,

Reference 63

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Observation 7f3341c5-52cf-46e0-8ea0-0256fed5e53e · outbound

This paper cites Capera: Captioning events in aerial videos,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Capera: Captioning events in aerial videos,

Reference 64

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Observation 25f376d8-5c9c-435d-bc12-7a7ed19908a3 · outbound

This paper cites Mutual attention inception network for remote sensing visual question answering,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Mutual attention inception network for remote sensing visual question answering,

Reference 65

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Observation b6989cdd-a7e0-46fe-a1e1-60f529be1bc9 · outbound

This paper cites Visual grounding in remote sensing images,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Visual grounding in remote sensing images,

Reference 66

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Observation a2e78898-96b9-4583-a0a5-d2aba730a934 · outbound

This paper cites Dinov2: Learning robust visual features without supervision,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Dinov2: Learning robust visual features without supervision,

Reference 67

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Observation 9d34bc30-b6d2-4f1d-aebf-8a53983c8299 · outbound

This paper cites Multistep question-driven visual question answering for remote sensing,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Multistep question-driven visual question answering for remote sensing,

Reference 68

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This paper cites Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification,

Reference 69

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This paper cites Bag-of-visual-words and spatial extensions for land-use classification,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Bag-of-visual-words and spatial extensions for land-use classification,

Reference 70

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This paper cites Satellite image classification via two-layer sparse coding with biased image representation,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Satellite image classification via two-layer sparse coding with biased image representation,

Reference 71

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Observation 7c38ff30-6b01-4a80-b7e1-d6e732b0cb26 · outbound

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Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Deep learning based feature selection for remote sensing scene classification,

Reference 72

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Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives A public dataset for ship classification in remote sensing images,

Reference 73

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Observation feb5e806-9622-4061-ad42-36407c2f244d · outbound

This paper cites A public dataset for fine-grained ship classification in optical remote sensing images,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives A public dataset for fine-grained ship classification in optical remote sensing images,

Reference 74

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This paper cites Rotation-insensitive and context- augmented object detection in remote sensing images,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Rotation-insensitive and context- augmented object detection in remote sensing images,

Reference 75

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Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Hierarchical and robust convolutional neural network for very high-resolution remote sensing object detection,

Reference 76

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This paper cites Orientation robust object detection in aerial images using deep convolutional neural network,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Orientation robust object detection in aerial images using deep convolutional neural network,

Reference 77

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Observation 81d5eaa9-da89-4d24-89c5-e57d9c5408c1 · outbound

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Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Detection and tracking meet drones challenge,

Reference 78

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This paper cites Sar ship detection dataset (ssdd): Official release and comprehensive data analysis,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Sar ship detection dataset (ssdd): Official release and comprehensive data analysis,

Reference 79

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Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Hit-uav: A high-altitude infrared thermal dataset for unmanned aerial vehicle- based object detection,

Reference 80

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Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Sea-shipping,

Reference 81

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Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Infrared-security,

Reference 82

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Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Aerial-mancar,

Reference 83

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Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Double-light-vehicle,

Reference 84

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Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Oceanic-ship,

Reference 85

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

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Learning transferable visual models from natural language supervision,

Reference 86

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This paper cites A novel svm-based decoder for remote sensing image captioning,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives A novel svm-based decoder for remote sensing image captioning,

Reference 87

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Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Star: A first- ever dataset and a large-scale benchmark for scene graph generation in large-size satellite imagery,

Reference 88

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Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Fine-grained recognition for oriented ship against complex scenes in optical remote sensing images,

Reference 89

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Observation 12e4f184-fb94-4dd7-a226-7c059ac8fdb4 · outbound

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Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Hrsid: A high-resolution sar images dataset for ship detection and instance segmentation,

Reference 90

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Observation 9767e98b-45c8-4f16-bb92-16656e945f49 · outbound

This paper cites Deepsat: a learning framework for satellite imagery,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Deepsat: a learning framework for satellite imagery,

Reference 91

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Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Nasc-tg2: Natural scene classification with tiangong-2 remotely sensed imagery,

Reference 92

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Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Feature significance-based multibag- of-visual-words model for remote sensing image scene classification,

Reference 93

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Observation 6b49a768-8919-4179-afc5-6c7c478e92c9 · outbound

This paper cites Dirichlet-derived multiple topic scene classification model for high spatial resolution remote sensing imagery,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Dirichlet-derived multiple topic scene classification model for high spatial resolution remote sensing imagery,

Reference 94

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Observation 25deeedd-14ab-498b-a3d1-7a4f4784a03f · outbound

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Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Patternnet: A benchmark dataset for performance evaluation of remote sensing image retrieval,

Reference 95

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Observation 3a7e90a7-a976-4e2f-ba1d-b185f8b532f6 · outbound

This paper cites Accurate object localization in remote sensing images based on convolutional neural networks,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Accurate object localization in remote sensing images based on convolutional neural networks,

Reference 96

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Observation d7d6f5c8-e6fa-446a-b1cc-fb89c5014327 · outbound

This paper cites Land-cover classification with high-resolution remote sensing images using transferable deep models,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Land-cover classification with high-resolution remote sensing images using transferable deep models,

Reference 97

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Observation 101371cc-8551-4285-99eb-cec4523d8062 · outbound

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Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Scene classification with recurrent attention of vhr remote sensing images,

Reference 98

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Observation 3e4482f4-aff9-45e9-b94c-ed82e06fa7af · outbound

This paper cites Clrs: Continual learning benchmark for remote sensing image scene classification,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives Clrs: Continual learning benchmark for remote sensing image scene classification,

Reference 99

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Observation 29b7051a-932f-48f1-8806-dfd06eb16a7c · outbound

This paper cites On creating benchmark dataset for aerial image interpreta- tion: Reviews, guidances, and million-aid,.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives On creating benchmark dataset for aerial image interpreta- tion: Reviews, guidances, and million-aid,

Reference 100

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