Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos | Paper Citation Record

Observation 9b995d4e-2191-4b15-b83f-b8fc2466296d · outbound

This paper cites The small-drone revolution is coming—scientists need to ensure it will be safe,.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos The small-drone revolution is coming—scientists need to ensure it will be safe,

Reference 1

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Observation 49b07a8c-e707-4b7c-9a55-2c743b824f6b · outbound

This paper cites Champion-level drone racing using deep reinforcement learning,.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos Champion-level drone racing using deep reinforcement learning,

Reference 2

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Observation 761e62ab-1b1c-4192-b68f-2dad832a8038 · outbound

This paper cites Video object segmentation without tem- poral information,.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos Video object segmentation without tem- poral information,

Reference 3

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Observation 5c39917d-b99c-406e-b8f3-61d24b26056c · outbound

This paper cites 3d question answering for city scene understanding,.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos 3d question answering for city scene understanding,

Reference 4

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Observation 43efa3e9-286a-4e1b-be86-a3197c84754d · outbound

This paper cites Phenobench: A large dataset and benchmarks for semantic image interpretation in the agricultural do- main,.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos Phenobench: A large dataset and benchmarks for semantic image interpretation in the agricultural do- main,

Reference 5

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Observation 01ecd4ed-e87b-4b06-8dec-7ad48ad22ef2 · outbound

This paper cites Detecting flying objects using a single moving camera,.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos Detecting flying objects using a single moving camera,

Reference 6

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Observation 4f4d291c-5418-4571-8780-b59da9a6df49 · outbound

This paper cites Revisiting image-language networks for open-ended phrase detection,.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos Revisiting image-language networks for open-ended phrase detection,

Reference 7

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Observation d2b93844-3363-4b7a-aff3-0037efbdcd01 · outbound

This paper cites Mevis: A large- scale benchmark for video segmentation with motion expressions,.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos Mevis: A large- scale benchmark for video segmentation with motion expressions,

Reference 8

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Observation d5431214-f946-448e-974c-5886b8e16458 · outbound

This paper cites Lamot: Language- guided multi-object tracking,.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos Lamot: Language- guided multi-object tracking,

Reference 9

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Observation a6822768-0774-409a-b3c4-642633a0a9f6 · outbound

This paper cites Skyfind: A large-scale benchmark unveiling referring expres- sion comprehension for uav.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos Skyfind: A large-scale benchmark unveiling referring expres- sion comprehension for uav

Reference 10

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Observation 50c4b8f7-f820-4c1e-96ac-d23aae4cef2d · outbound

This paper cites Aerialmind: Towards referring multi-object tracking in uav scenarios,.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos Aerialmind: Towards referring multi-object tracking in uav scenarios,

Reference 11

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Observation 6da0cf3b-dd9b-4492-acd3-8afc41de44ce · outbound

This paper cites Event-aware instructed assistant for referring video segmentation,.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos Event-aware instructed assistant for referring video segmentation,

Reference 12

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Observation cd07ae9b-fc66-4d12-97e5-44f84799e2fb · outbound

This paper cites City-vlm: Towards multidomain perception scene understanding via multimodal incomplete learning,.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos City-vlm: Towards multidomain perception scene understanding via multimodal incomplete learning,

Reference 13

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This paper cites Qwen2.5 technical report,.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos Qwen2.5 technical report,

Reference 14

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Observation 366e8549-1cbc-4afa-984b-b330d1f213b2 · outbound

This paper cites SAM 3: Segment Anything with Concepts.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos SAM 3: Segment Anything with Concepts

Reference 15

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This paper cites React: Streaming video analytics on the edge with asynchronous cloud support,.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos React: Streaming video analytics on the edge with asynchronous cloud support,

Reference 16

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Observation 5b29eab7-6a4d-4271-8344-f237d491cea0 · outbound

This paper cites Multiple-object-tracking algorithm based on dense trajectory voting in aerial videos,.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos Multiple-object-tracking algorithm based on dense trajectory voting in aerial videos,

Reference 17

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Observation 08fa439c-bdb6-4acf-8ed9-9f15f82ab321 · outbound

This paper cites Urvos: Unified referring video object segmentation network with a large-scale benchmark,.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos Urvos: Unified referring video object segmentation network with a large-scale benchmark,

Reference 18

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Observation b14fc791-78fa-4110-bcd4-66ae0c8a6cf8 · outbound

This paper cites Sharegpt4video: Improving video understanding and generation with better captions,.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos Sharegpt4video: Improving video understanding and generation with better captions,

Reference 19

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This paper cites Mevis: A multi-modal dataset for referring motion expression video segmentation,.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos Mevis: A multi-modal dataset for referring motion expression video segmentation,

Reference 20

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This paper cites Jtd-uav: Mllm-enhanced joint tracking and description framework for anti-uav systems,.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos Jtd-uav: Mllm-enhanced joint tracking and description framework for anti-uav systems,

Reference 21

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This paper cites Visa: Reasoning video object segmentation via large lan- guage models,.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos Visa: Reasoning video object segmentation via large lan- guage models,

Reference 22

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This paper cites Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos

Reference 23

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This paper cites Unipixel: Unified object referring and segmentation for pixel-level visual reason- ing,.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos Unipixel: Unified object referring and segmentation for pixel-level visual reason- ing,

Reference 24

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This paper cites SAM 2: Segment Anything in Images and Videos.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos SAM 2: Segment Anything in Images and Videos

Reference 25

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This paper cites Videoglamm: A large multimodal model for pixel-level visual JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2021 14 grounding in videos,.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos Videoglamm: A large multimodal model for pixel-level visual JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2021 14 grounding in videos,

Reference 26

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This paper cites Glus: Global-local reasoning unified into a single large language model for video segmentation,.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos Glus: Global-local reasoning unified into a single large language model for video segmentation,

Reference 27

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This paper cites The devil is in temporal token: High quality video reasoning segmentation,.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos The devil is in temporal token: High quality video reasoning segmentation,

Reference 28

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This paper cites Instructseg: Unifying instructed visual segmentation with multi-modal large language models,.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos Instructseg: Unifying instructed visual segmentation with multi-modal large language models,

Reference 29

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

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos Geochat: Grounded large vision-language model for remote sensing,

Reference 30

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

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos SkySenseGPT: A Fine-Grained Instruction Tuning Dataset and Model for Remote Sensing Vision-Language Understanding

Reference 31

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

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos Earthgpt: A universal multimodal large language model for multisensor image comprehension in remote sensing domain,

Reference 32

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This paper cites Kimi K2.5: Visual Agentic Intelligence.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos Kimi K2.5: Visual Agentic Intelligence

Reference 33

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This paper cites Qwen3.6-Plus: Towards real world agents,.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos Qwen3.6-Plus: Towards real world agents,

Reference 34

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This paper cites Visual instruction tuning,.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos Visual instruction tuning,

Reference 35

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This paper cites Qwen2.5-VL Technical Report.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos Qwen2.5-VL Technical Report

Reference 36

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This paper cites StreamingVLM: Real-Time Understanding for Infinite Video Streams.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos StreamingVLM: Real-Time Understanding for Infinite Video Streams

Reference 37

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This paper cites A fast and accurate one-stage approach to visual grounding,.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos A fast and accurate one-stage approach to visual grounding,

Reference 38

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Observation dfd9d33c-78e5-40bc-b1bf-c29bba6295cf · outbound

This paper cites Improving one-stage visual grounding by recursive sub-query construction,.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos Improving one-stage visual grounding by recursive sub-query construction,

Reference 39

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This paper cites Referring transformer: A one-step approach to multi-task visual grounding,.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos Referring transformer: A one-step approach to multi-task visual grounding,

Reference 40

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This paper cites Transvg: End-to-end visual grounding with transformers,.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos Transvg: End-to-end visual grounding with transformers,

Reference 41

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Observation a3617427-5543-4c34-81cf-13884fbc05a6 · outbound

This paper cites Improving visual grounding with visual-linguistic verification and iterative reasoning,.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos Improving visual grounding with visual-linguistic verification and iterative reasoning,

Reference 42

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This paper cites Seqtr: A simple yet universal network for visual grounding,.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos Seqtr: A simple yet universal network for visual grounding,

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This paper cites Shifting more attention to visual backbone: Query-modulated refinement networks for end-to-end visual grounding,.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos Shifting more attention to visual backbone: Query-modulated refinement networks for end-to-end visual grounding,

Reference 44

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This paper cites A survivor in the era of large- scale pretraining: An empirical study of one-stage referring expression comprehension,.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos A survivor in the era of large- scale pretraining: An empirical study of one-stage referring expression comprehension,

Reference 45

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This paper cites Polyformer: Referring image segmentation as sequential polygon generation,.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos Polyformer: Referring image segmentation as sequential polygon generation,

Reference 46

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This paper cites Qwen2.5 Technical Report.

Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos Qwen2.5 Technical Report

Reference 2025

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