Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling | Paper Citation Record

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This paper cites LLaMA: Open and Efficient Foundation Language Models.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling LLaMA: Open and Efficient Foundation Language Models

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

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality,

Reference 2

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This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 3

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This paper cites Stanford alpaca: An instruction-following llama model,.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Stanford alpaca: An instruction-following llama model,

Reference 4

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This paper cites GPT-4 Technical Report.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling GPT-4 Technical Report

Reference 5

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

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Learning transferable visual models from natural language supervision,

Reference 6

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

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Blip-2: Bootstrapping language- image pre-training with frozen image encoders and large language models,

Reference 7

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This paper cites Instructblip: towards general-purpose vision-language mod- els with instruction tuning,.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Instructblip: towards general-purpose vision-language mod- els with instruction tuning,

Reference 8

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Observation be8d938d-911a-477e-be1d-78920bae6ad8 · outbound

This paper cites Visual instruction tuning,.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Visual instruction tuning,

Reference 9

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Observation 35dd2474-e173-4e13-abf0-5519d5d892b4 · outbound

This paper cites Cogvlm: Visual expert for pretrained language models,.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Cogvlm: Visual expert for pretrained language models,

Reference 10

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This paper cites mplug-owl2: Revolutionizing multi-modal large language model with modality collaboration,.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling mplug-owl2: Revolutionizing multi-modal large language model with modality collaboration,

Reference 11

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This paper cites Flamingo: a visual language model for few-shot learning,.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Flamingo: a visual language model for few-shot learning,

Reference 12

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

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks,

Reference 13

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This paper cites How far are we to gpt-4v? closing the gap to commercial multimodal models with open-source suites,.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling How far are we to gpt-4v? closing the gap to commercial multimodal models with open-source suites,

Reference 14

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This paper cites Qwen2.5-VL Technical Report.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Qwen2.5-VL Technical Report

Reference 15

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This paper cites Multimodal Chain-of-Thought Reasoning in Language Models.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Multimodal Chain-of-Thought Reasoning in Language Models

Reference 16

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This paper cites DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding

Reference 17

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This paper cites Visionllm: Large language model is also an open-ended decoder for vision-centric tasks,.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Visionllm: Large language model is also an open-ended decoder for vision-centric tasks,

Reference 18

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This paper cites Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

Reference 19

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This paper cites Learning source-invariant deep hashing convolutional neural networks for cross-source remote sensing image retrieval,.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Learning source-invariant deep hashing convolutional neural networks for cross-source remote sensing image retrieval,

Reference 20

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This paper cites Automatic radiometric normalization for multitemporal remote sensing imagery with iterative slow feature anal- 12 ysis,.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Automatic radiometric normalization for multitemporal remote sensing imagery with iterative slow feature anal- 12 ysis,

Reference 21

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This paper cites A supervised progressive growing generative adversarial network for remote sensing image scene classification,.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling A supervised progressive growing generative adversarial network for remote sensing image scene classification,

Reference 22

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This paper cites Multimodal remote sensing image matching combining learning features and delaunay triangula- tion,.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Multimodal remote sensing image matching combining learning features and delaunay triangula- tion,

Reference 23

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This paper cites Urban flood-related remote sensing: research trends, gaps and opportunities,.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Urban flood-related remote sensing: research trends, gaps and opportunities,

Reference 24

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Observation 107a23c2-1ed6-4912-8df3-21a2d23c0e9e · outbound

This paper cites Remote sensing-based proxies for urban disaster risk management and resilience: A review,.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Remote sensing-based proxies for urban disaster risk management and resilience: A review,

Reference 25

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This paper cites Remote sensing in multirisk assess- ment: Improving disaster preparedness,.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Remote sensing in multirisk assess- ment: Improving disaster preparedness,

Reference 26

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

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Geochat: Grounded large vision-language model for remote sensing,

Reference 27

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

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Lhrs-bot: Empowering remote sensing with vgi-enhanced large multimodal language model,

Reference 28

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

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Skyeyegpt: Unifying remote sensing vision-language tasks via instruction tuning with large language model,

Reference 29

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Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling H2rsvlm: Towards helpful and honest remote sensing large vision language model,

Reference 30

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Observation aec9247a-2ce7-4106-ba4c-d5a89bbc388e · outbound

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

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Rs- llava: A large vision-language model for joint captioning and question answering in remote sensing imagery,

Reference 31

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

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling SkySenseGPT: A Fine-Grained Instruction Tuning Dataset and Model for Remote Sensing Vision-Language Understanding

Reference 32

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

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Rsgpt: A remote sensing vision language model and benchmark,

Reference 33

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This paper cites RSUniVLM: A Unified Vision Language Model for Remote Sensing via Granularity-oriented Mixture of Experts.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling RSUniVLM: A Unified Vision Language Model for Remote Sensing via Granularity-oriented Mixture of Experts

Reference 34

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Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Llama 2: Open Foundation and Fine-Tuned Chat Models

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Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling The Llama 3 Herd of Models

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This paper cites Qwen Technical Report.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Qwen Technical Report

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This paper cites Internlm: A multilingual language model with progressively enhanced capabilities,.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Internlm: A multilingual language model with progressively enhanced capabilities,

Reference 38

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This paper cites Llava-next: Improved reasoning, ocr, and world knowledge,.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Llava-next: Improved reasoning, ocr, and world knowledge,

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Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 40

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Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 41

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Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models

Reference 42

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This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Gemini: A Family of Highly Capable Multimodal Models

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This paper cites KOSMOS-2.5: A Multimodal Literate Model.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling KOSMOS-2.5: A Multimodal Literate Model

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

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Scaling up visual and vision-language representation learning with noisy text supervision,

Reference 45

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This paper cites Sharegpt4v: Improving large multi-modal models with better captions,.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Sharegpt4v: Improving large multi-modal models with better captions,

Reference 46

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Observation e83556a7-25f4-4a34-845c-d81d4b8bfba9 · outbound

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

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning

Reference 47

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This paper cites InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition

Reference 48

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This paper cites Gpt4roi: Instruction tuning large language model on regionof-interest, 2024,.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Gpt4roi: Instruction tuning large language model on regionof-interest, 2024,

Reference 49

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Observation 0409c39d-37a3-487d-9e11-a04f0cd333e9 · outbound

This paper cites Glamm: Pixel grounding large multimodal model,.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Glamm: Pixel grounding large multimodal model,

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This paper cites LHRS-Bot-Nova: Improved Multimodal Large Language Model for Remote Sensing Vision-Language Interpretation.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling LHRS-Bot-Nova: Improved Multimodal Large Language Model for Remote Sensing Vision-Language Interpretation

Reference 51

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Observation e5b11529-a876-47bc-afe7-58fcfbb95c0d · outbound

This paper cites EarthMarker: A Visual Prompting Multi-modal Large Language Model for Remote Sensing.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling EarthMarker: A Visual Prompting Multi-modal Large Language Model for Remote Sensing

Reference 52

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This paper cites GeoLLaVA: Efficient Fine-Tuned Vision-Language Models for Temporal Change Detection in Remote Sensing.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling GeoLLaVA: Efficient Fine-Tuned Vision-Language Models for Temporal Change Detection in Remote Sensing

Reference 53

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Observation b837ee10-fd68-4969-a7c7-5ae3e609ebc5 · outbound

This paper cites TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data

Reference 54

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Observation ee836c34-910a-4761-b513-d54b9060d421 · outbound

This paper cites Earthgpt: A universal multi-modal large language model for multi-sensor image comprehension in remote sensing domain,.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Earthgpt: A universal multi-modal large language model for multi-sensor image comprehension in remote sensing domain,

Reference 55

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Observation 76d8790e-b373-4c74-a4c0-9e8653b0605b · outbound

This paper cites Ringmogpt: A unified remote sensing foundation model for vision, language, and grounded tasks,.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Ringmogpt: A unified remote sensing foundation model for vision, language, and grounded tasks,

Reference 56

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

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Skyscript: A large and semantically diverse vision-language dataset for remote sens- ing,

Reference 57

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

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Deep semantic understanding of high resolution remote sensing image,

Reference 58

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

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Remote sensing image scene classifi- cation: Benchmark and state of the art,

Reference 59

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

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Nwpu- captions dataset and mlca-net for remote sensing image captioning,

Reference 60

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This paper cites Exploring a Fine-Grained Multiscale Method for Cross-Modal Remote Sensing Image Retrieval.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Exploring a Fine-Grained Multiscale Method for Cross-Modal Remote Sensing Image Retrieval

Reference 61

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Observation 51d48c8a-48b8-4d32-99bb-97de27ae9e6e · outbound

This paper cites METER-ML: A Multi-Sensor Earth Observation Benchmark for Automated Methane Source Mapping.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling METER-ML: A Multi-Sensor Earth Observation Benchmark for Automated Methane Source Mapping

Reference 62

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Observation bca7d714-1582-4d43-bce5-a7e9262d9514 · outbound

This paper cites Functional map of the world,.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Functional map of the world,

Reference 63

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Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Exploring models and data for remote sensing image caption generation,

Reference 64

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Observation ff9def5d-e6e7-4689-9bc6-520ecde441ec · outbound

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

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Rsvqa: Visual question answering for remote sensing data,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:22:44.146974Z

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This paper cites Visual grounding in remote sensing images,.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Visual grounding in remote sensing images,

Reference 66

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Observation ad0bd306-6f06-44b9-a4c6-77ded1d15432 · outbound

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

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Rsvg: Exploring data and models for visual grounding on remote sensing data,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:22:43.585787Z

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

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Object detection in optical remote sensing images: A survey and a new benchmark,

Reference 68

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This paper cites Dota: A large-scale dataset for object detection in aerial images,.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Dota: A large-scale dataset for object detection in aerial images,

Reference 69

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This paper cites Aid: A benchmark data set for performance evaluation of aerial scene classification,.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Aid: A benchmark data set for performance evaluation of aerial scene classification,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:22:43.248276Z

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Observation f0ac9d96-da54-4527-9b83-f21b3531fddd · outbound

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Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Satellite image classification via two-layer sparse coding with biased image representation,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:22:43.002910Z

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Observation 16b87da5-b324-4c2a-aa0a-a7711128364f · outbound

This paper cites Bag-of-visual- words scene classifier with local and global features for high spatial resolution remote sensing imagery,.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Bag-of-visual- words scene classifier with local and global features for high spatial resolution remote sensing imagery,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:22:42.750777Z

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Observation 7c171966-67c3-453a-8619-10b7c97a4124 · outbound

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Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Improved baselines with visual instruction tuning,

Reference 73

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Observation ab0645a4-d411-4393-a611-ed09529fa31e · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-06T22:22:41.662531Z

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Observation b3dcb610-4927-4266-88be-ce3d69c6f970 · outbound

This paper cites SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-06T22:22:41.716132Z

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Observation f5c432bd-ec86-4cd4-8ee2-4da9858061f4 · outbound

This paper cites Qwen2.5: A party of foundation models,.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Qwen2.5: A party of foundation models,

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-06T22:22:41.767782Z

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Observation 59bd219b-acaf-4158-9483-a56f0ca825b3 · outbound

This paper cites Vhm: Versatile and honest vision language model for remote sensing image analysis,.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling Vhm: Versatile and honest vision language model for remote sensing image analysis,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:22:42.582486Z

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