Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models | Paper Citation Record

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This paper cites Automatic target recognition: State of the art survey,.

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Automatic target recognition: State of the art survey,

Reference 1

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This paper cites The automatic target-recognition system in saip,.

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models The automatic target-recognition system in saip,

Reference 2

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Observation 628ebbc3-5f95-40f0-9ee2-26aa53bcd266 · outbound

This paper cites Automatic target recognition based on simultaneous sparse representation,.

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Automatic target recognition based on simultaneous sparse representation,

Reference 3

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Observation 4e6c73a9-c868-4b61-b8ca-88bb210ff7cb · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Distilling the Knowledge in a Neural Network

Reference 4

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This paper cites Accelerating very deep convo- lutional networks for classification and detection,.

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Accelerating very deep convo- lutional networks for classification and detection,

Reference 5

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This paper cites Object recognition and detection with deep learning for autonomous driving applications,.

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Object recognition and detection with deep learning for autonomous driving applications,

Reference 6

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This paper cites Review of current aided/automatic target acquisition technology for military target acquisition tasks,.

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Review of current aided/automatic target acquisition technology for military target acquisition tasks,

Reference 7

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This paper cites Ar- tificial intelligence for national security: the predictability problem,.

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Ar- tificial intelligence for national security: the predictability problem,

Reference 8

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Observation fa2075fe-048a-4597-be49-ce93699e3c89 · outbound

This paper cites Autonomous vehicles and intelligent automation: Applications, challenges, and opportuni- ties,.

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Autonomous vehicles and intelligent automation: Applications, challenges, and opportuni- ties,

Reference 9

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This paper cites Concrete Problems in AI Safety.

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Concrete Problems in AI Safety

Reference 10

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This paper cites Unsolved Problems in ML Safety.

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Unsolved Problems in ML Safety

Reference 11

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This paper cites Generalized out-of-distribution detection: A survey,.

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Generalized out-of-distribution detection: A survey,

Reference 12

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This paper cites Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey.

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey

Reference 13

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This paper cites Meta-uda: Unsupervised domain adaptive thermal object detection using meta- learning,.

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Meta-uda: Unsupervised domain adaptive thermal object detection using meta- learning,

Reference 14

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This paper cites On the Validity of Bayesian Neural Networks for Uncertainty Estimation.

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models On the Validity of Bayesian Neural Networks for Uncertainty Estimation

Reference 15

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This paper cites Knowing the unknown: Open-world recognition for biodiversity datasets,.

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Knowing the unknown: Open-world recognition for biodiversity datasets,

Reference 16

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Observation afb4a997-c6af-4c7b-ab59-a2d84a370710 · outbound

This paper cites The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation.

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation

Reference 17

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This paper cites The impact of cooperative perception on decision making and planning of autonomous vehicles,.

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models The impact of cooperative perception on decision making and planning of autonomous vehicles,

Reference 18

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Observation 18650a64-b00d-4e38-9f95-5c14fa8f8f0d · outbound

This paper cites Towards open world object detection,.

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Towards open world object detection,

Reference 19

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This paper cites Unidentified video objects: A benchmark for dense, open-world segmentation,.

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Unidentified video objects: A benchmark for dense, open-world segmentation,

Reference 20

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This paper cites Breaking the closed world assumption in text classification,.

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Breaking the closed world assumption in text classification,

Reference 21

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This paper cites Dynamic few-shot visual learning with- out forgetting,.

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Dynamic few-shot visual learning with- out forgetting,

Reference 22

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This paper cites Online incremental learning algorithm for anomaly detection and prediction in health care,.

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Online incremental learning algorithm for anomaly detection and prediction in health care,

Reference 23

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This paper cites Detecting everything in the open world: Towards universal object detection,.

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Detecting everything in the open world: Towards universal object detection,

Reference 24

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Observation 395b5ec9-e5df-4c32-8794-52872d63dba4 · outbound

This paper cites Lifelong machine learning: a paradigm for continuous learn- ing,.

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Lifelong machine learning: a paradigm for continuous learn- ing,

Reference 25

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This paper cites Advancing autonomy through lifelong learning: a survey of autonomous intelligent systems,.

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Advancing autonomy through lifelong learning: a survey of autonomous intelligent systems,

Reference 26

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This paper cites Vision-language models for vision tasks: A survey,.

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Vision-language models for vision tasks: A survey,

Reference 27

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This paper cites A Survey of Vision-Language Pre-Trained Models.

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models A Survey of Vision-Language Pre-Trained Models

Reference 28

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

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Learning transferable visual models from natural language supervision,

Reference 29

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Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Clip and complementary meth- ods,

Reference 30

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Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models On the Vulnerability of LLM/VLM-Controlled Robotics

Reference 31

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This paper cites Applications of large language models for robot navigation and scene understanding,.

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Applications of large language models for robot navigation and scene understanding,

Reference 32

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Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs

Reference 33

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This paper cites Yolo-world: Real-time open-vocabulary object detection,.

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Yolo-world: Real-time open-vocabulary object detection,

Reference 34

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Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Towards open world recognition,

Reference 35

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Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Ow-detr: Open-world detection transformer,

Reference 36

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This paper cites Exploring vision-language foundation model for novel object captioning,.

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Exploring vision-language foundation model for novel object captioning,

Reference 37

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Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Improved open world object detection using class-wise feature space learning,

Reference 38

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Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Self-Supervised Features Improve Open-World Learning

Reference 39

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Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Can Foundation Models Wrangle Your Data?

Reference 40

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Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Segment anything,

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Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Dremel: interactive analysis of web- scale datasets,

Reference 42

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This paper cites Open-set automatic target recognition,.

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Open-set automatic target recognition,

Reference 43

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Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Hello gpt-4o,

Reference 44

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Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Introducing the next generation of Claude,

Reference 45

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Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

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Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Visual instruction tuning,

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Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 48

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Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models MiniCPM-V: A GPT-4V Level MLLM on Your Phone

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Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks

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

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Llava-next: Improved reasoning, ocr, and world knowledge,

Reference 51

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Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models CogVLM: Visual Expert for Pretrained Language Models

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This paper cites OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models.

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models

Reference 53

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

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Instructblip: Towards general-purpose vision- language models with instruction tuning,

Reference 54

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

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models Blip-2: Bootstrapping language- image pre-training with frozen image encoders and large language models,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:18.123979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers