VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs | Paper Citation Record

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This paper cites write newline.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs write newline

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This paper cites Efficient interactive annotation of segmentation datasets with polygon-rnn++.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Efficient interactive annotation of segmentation datasets with polygon-rnn++

Reference 2

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This paper cites Qwen Technical Report.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Qwen Technical Report

Reference 3

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

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 4

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This paper cites Multi-task learning for segmentation of building footprints with deep neural networks.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Multi-task learning for segmentation of building footprints with deep neural networks

Reference 5

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This paper cites J., 2019.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs J., 2019

Reference 6

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This paper cites InternLM2 Technical Report.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs InternLM2 Technical Report

Reference 7

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This paper cites Annotating object instances with a polygon-rnn.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Annotating object instances with a polygon-rnn

Reference 8

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This paper cites ASF-Net: Adaptive Screening Feature Network for Building Footprint Extraction From Remote-Sensing Images.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs ASF-Net: Adaptive Screening Feature Network for Building Footprint Extraction From Remote-Sensing Images

Reference 9

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This paper cites RSPrompter: Learning to prompt for remote sensing instance segmentation based on visual foundation model.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs RSPrompter: Learning to prompt for remote sensing instance segmentation based on visual foundation model

Reference 10

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This paper cites L., Liu, X., 2020.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs L., Liu, X., 2020

Reference 11

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This paper cites CGSANet: A Contour-Guided and Local Structure-Aware Encoder--Decoder Network for Accurate Building Extraction From Very High-Resolution Remote Sensing Imagery.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs CGSANet: A Contour-Guided and Local Structure-Aware Encoder--Decoder Network for Accurate Building Extraction From Very High-Resolution Remote Sensing Imagery

Reference 12

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This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

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.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs 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 et al., 2024d.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs et al., 2024d

Reference 15

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This paper cites G., Kirillov, A., Girdhar, R., 2022.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs G., Kirillov, A., Girdhar, R., 2022

Reference 16

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This paper cites E., Stoica, I., Xing, E.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs E., Stoica, I., Xing, E

Reference 17

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This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 18

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This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 19

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This paper cites The Llama 3 Herd of Models.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs The Llama 3 Herd of Models

Reference 20

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

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs GeoLLaVA: Efficient Fine-Tuned Vision-Language Models for Temporal Change Detection in Remote Sensing

Reference 21

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VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Instances as queries

Reference 22

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VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs GPT-3: Its nature, scope, limits, and consequences

Reference 23

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VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Polygonal building extraction by frame field learning

Reference 24

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This paper cites Remote Sensing ChatGPT: Solving Remote Sensing Tasks with ChatGPT and Visual Models.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Remote Sensing ChatGPT: Solving Remote Sensing Tasks with ChatGPT and Visual Models

Reference 25

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This paper cites HigherNet-DST: Higher resolution network with dynamic scale training for rooftop delineation.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs HigherNet-DST: Higher resolution network with dynamic scale training for rooftop delineation

Reference 26

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This paper cites Mask r-cnn.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Mask r-cnn

Reference 27

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

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Rsgpt: A remote sensing vision language model and benchmark

Reference 28

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This paper cites Sequentially delineation of rooftops with holes from VHR aerial images using a convolutional recurrent neural network.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Sequentially delineation of rooftops with holes from VHR aerial images using a convolutional recurrent neural network

Reference 29

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VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs OEC-RNN: Object-oriented delineation of rooftops with edges and corners using the recurrent neural network from the aerial images

Reference 30

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

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data

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VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Fully convolutional networks for multisource building extraction from an open aerial and satellite imagery data set

Reference 32

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This paper cites A scale robust convolutional neural network for automatic building extraction from aerial and satellite imagery.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs A scale robust convolutional neural network for automatic building extraction from aerial and satellite imagery

Reference 33

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VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Segment Anything

Reference 34

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This paper cites C., Lo, W.-Y.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs C., Lo, W.-Y

Reference 35

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VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs E., 2017

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This paper cites S., Naseer, M., Das, A., Khan, S., Khan, F.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs S., Naseer, M., Das, A., Khan, S., Khan, F

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VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Lisa: Reasoning segmentation via large language model

Reference 38

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This paper cites VRSBench: A Versatile Vision-Language Benchmark Dataset for Remote Sensing Image Understanding.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs VRSBench: A Versatile Vision-Language Benchmark Dataset for Remote Sensing Image Understanding

Reference 39

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This paper cites Topological Map Extraction from Overhead Images.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Topological Map Extraction from Overhead Images

Reference 40

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This paper cites D., Lucchi, A., 2019.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs D., Lucchi, A., 2019

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This paper cites Polytransform: Deep polygon transformer for instance segmentation.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Polytransform: Deep polygon transformer for instance segmentation

Reference 42

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This paper cites L., 2014.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs L., 2014

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VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Draw-and-understand: Leveraging visual prompts to enable mllms to comprehend what you want

Reference 44

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This paper cites Change-agent: Towards interactive comprehensive remote sensing change interpretation and analysis.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Change-agent: Towards interactive comprehensive remote sensing change interpretation and analysis

Reference 45

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This paper cites J., 2023a.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs J., 2023a

Reference 46

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VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs J., 2023b

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This paper cites Path aggregation network for instance segmentation.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Path aggregation network for instance segmentation

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:46:13.655042Z

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This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Swin transformer: Hierarchical vision transformer using shifted windows

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:46:13.641484Z

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This paper cites Building Outline Delineation From VHR Remote Sensing Images Using the Convolutional Recurrent Neural Network Embedded With Line Segment Information.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Building Outline Delineation From VHR Remote Sensing Images Using the Convolutional Recurrent Neural Network Embedded With Line Segment Information

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:46:13.627700Z

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

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs SkySenseGPT: A Fine-Grained Instruction Tuning Dataset and Model for Remote Sensing Vision-Language Understanding

Reference 51

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This paper cites Cross-spatiotemporal land-cover classification from VHR remote sensing images with deep learning based domain adaptation.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Cross-spatiotemporal land-cover classification from VHR remote sensing images with deep learning based domain adaptation

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:46:13.613358Z

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Observation 686281e2-c5b5-4920-8bb8-32a113dcae3c · outbound

This paper cites SAM-RSIS: Progressively adapting SAM with box prompting to remote sensing image instance segmentation.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs SAM-RSIS: Progressively adapting SAM with box prompting to remote sensing image instance segmentation

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:46:13.597708Z

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This paper cites P., 2019 (accessed November 10, 2019).

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs P., 2019 (accessed November 10, 2019)

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:46:13.583455Z

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This paper cites LHRS-Bot: Empowering Remote Sensing with VGI-Enhanced Large Multimodal Language Model.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs LHRS-Bot: Empowering Remote Sensing with VGI-Enhanced Large Multimodal Language Model

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T19:46:12.307217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 128196e5-76c8-4d90-b068-f37701d3c630 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs DINOv2: Learning Robust Visual Features without Supervision

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T19:46:12.311807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f4aace0-37a0-4b07-b11b-ba9fbb559ba7 · outbound

This paper cites VHM: Versatile and Honest Vision Language Model for Remote Sensing Image Analysis.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs VHM: Versatile and Honest Vision Language Model for Remote Sensing Image Analysis

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T19:46:12.316595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f887536e-9793-4d10-97a4-26108a357f69 · outbound

This paper cites Deep snake for real-time instance segmentation.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Deep snake for real-time instance segmentation

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:46:13.567120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4c97ddd7-5460-4792-b3ba-aa1775f656b2 · outbound

This paper cites W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:46:13.552334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c54176be-9c7f-44e2-8812-74181bd3f3f5 · outbound

This paper cites D., Ermon, S., Finn, C., 2024.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs D., Ermon, S., Finn, C., 2024

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:46:13.536754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0cd113dd-ee83-4552-b263-db1eb4fa46d9 · outbound

This paper cites Am-radio: Agglomerative vision foundation model reduce all domains into one.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Am-radio: Agglomerative vision foundation model reduce all domains into one

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:46:13.521226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation aba2b761-0c8c-4030-8fed-7672c527f1fd · outbound

This paper cites M., Xing, E., Yang, M.-H., Khan, F.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs M., Xing, E., Yang, M.-H., Khan, F

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:46:13.504453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9aad2ccb-9034-46e9-a8aa-bd39225ce36f · outbound

This paper cites Pixellm: Pixel reasoning with large multimodal model.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Pixellm: Pixel reasoning with large multimodal model

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:46:13.490327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 540c0d6d-2bb8-433d-807a-fc007055224f · outbound

This paper cites Geollm-engine: A realistic environment for building geospatial copilots.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Geollm-engine: A realistic environment for building geospatial copilots

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:46:13.473850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cc1b2af8-ef4a-471e-9c88-355c64381b81 · outbound

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

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Internlm: A multilingual language model with progressively enhanced capabilities

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:46:13.459916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation df3fd4f0-9393-4133-a26b-81021c816039 · outbound

This paper cites Fcos: Fully convolutional one-stage object detection.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Fcos: Fully convolutional one-stage object detection

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:46:13.446080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c75b4a2d-c816-4c9d-afe0-9087289aa521 · outbound

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

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-06T19:46:12.359024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fb2122f-b754-48a1-937a-73536643f55e · outbound

This paper cites From image transfer to object transfer: Cross-domain instance segmentation based on center point feature alignment.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs From image transfer to object transfer: Cross-domain instance segmentation based on center point feature alignment

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:46:13.432782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 33524a30-b01d-41a9-a075-6ef26917ce84 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-06T19:46:12.367046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4eb0793-f138-4d14-bd7d-67ba16e7bf46 · outbound

This paper cites et al., 2024b.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs et al., 2024b

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:46:13.418753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 54bb2a9e-a2c6-4242-9dfc-8fcac75dd936 · outbound

This paper cites Solo: Segmenting objects by locations.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Solo: Segmenting objects by locations

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:46:13.405054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 120e7511-4cf5-4df1-9071-b019c8b8f415 · outbound

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

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Skyscript: A large and semantically diverse vision-language dataset for remote sensing

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:46:13.391338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 20acfc7f-f109-4a06-ac92-5b3d82a53cde · outbound

This paper cites Graph convolutional networks for the automated production of building vector maps from aerial images.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Graph convolutional networks for the automated production of building vector maps from aerial images

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:46:13.376449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bc4e1410-b3d9-43c9-9dc1-bae1c1a1f4d7 · outbound

This paper cites Toward automatic building footprint delineation from aerial images using CNN and regularization.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Toward automatic building footprint delineation from aerial images using CNN and regularization

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:46:13.361186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b74a44fc-cae6-4e8c-811c-15f90523039e · outbound

This paper cites A Concentric Loop Convolutional Neural Network for Manual Delineation-Level Building Boundary Segmentation From Remote-Sensing Images.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs A Concentric Loop Convolutional Neural Network for Manual Delineation-Level Building Boundary Segmentation From Remote-Sensing Images

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:46:13.346545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 681bfab7-2255-4e1e-8b9c-52960724f664 · outbound

This paper cites BuildMapper: A fully learnable framework for vectorized building contour extraction.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs BuildMapper: A fully learnable framework for vectorized building contour extraction

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:46:13.332317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 33d5c8b8-0ad6-43f7-b51f-561cfea87f99 · outbound

This paper cites From lines to Polygons: Polygonal building contour extraction from High-Resolution remote sensing imagery.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs From lines to Polygons: Polygonal building contour extraction from High-Resolution remote sensing imagery

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:46:13.319037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d6e94cea-aa35-4323-b476-edf1d9b58ca1 · outbound

This paper cites A., 2022.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs A., 2022

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:46:13.305215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9e79cef5-9028-487b-a278-f3bfd73a6cdd · outbound

This paper cites Vectorizing historical maps with topological consistency: A hybrid approach using transformers and contour-based instance segmentation.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Vectorizing historical maps with topological consistency: A hybrid approach using transformers and contour-based instance segmentation

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:46:13.291113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 05abb26e-ca00-4925-a7c1-12782aa2dbdc · outbound

This paper cites Video instance segmentation is all you need for linking geographic entities from historical maps.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Video instance segmentation is all you need for linking geographic entities from historical maps

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:46:13.275145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d787037c-3fbf-4ccc-b604-62d610df6fde · outbound

This paper cites Polarmask: Single shot instance segmentation with polar representation.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Polarmask: Single shot instance segmentation with polar representation

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:46:13.261366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 939ef4fa-5a08-4f74-aba5-74d9dfcd08bf · outbound

This paper cites HiSup: Accurate polygonal mapping of buildings in satellite imagery with hierarchical supervision.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs HiSup: Accurate polygonal mapping of buildings in satellite imagery with hierarchical supervision

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:46:13.246162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 61e0fd6c-7086-41b8-a439-e08f2b35bd76 · outbound

This paper cites Qwen3 Technical Report.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Qwen3 Technical Report

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-06T19:46:12.423489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45a3c82f-e62d-44f6-be72-1e0b36778ccb · outbound

This paper cites Qwen2 Technical Report.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Qwen2 Technical Report

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-06T19:46:12.427552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02d2e529-04d6-463c-b965-a3a9370fd2c3 · outbound

This paper cites A review of recurrent neural networks: LSTM cells and network architectures.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs A review of recurrent neural networks: LSTM cells and network architectures

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:46:13.231469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b59a960f-b2db-46c5-b692-a14e5a8fb91e · outbound

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

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-06T19:46:12.435161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90967185-4b8f-4448-80df-44aa4b22d059 · outbound

This paper cites Learning building extraction in aerial scenes with convolutional networks.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Learning building extraction in aerial scenes with convolutional networks

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:46:13.216943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 184b47f0-cbea-4043-99d8-a666a269c6b0 · outbound

This paper cites Osprey: Pixel understanding with visual instruction tuning.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Osprey: Pixel understanding with visual instruction tuning

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:46:13.202555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 22a3060a-2a1b-45da-a5e6-2f7ab87ee0dc · outbound

This paper cites SkyEyeGPT: Unifying Remote Sensing Vision-Language Tasks via Instruction Tuning with Large Language Model.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs SkyEyeGPT: Unifying Remote Sensing Vision-Language Tasks via Instruction Tuning with Large Language Model

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-06T19:46:12.447693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73189925-8303-4776-8873-e0f744cf96dd · outbound

This paper cites HiT: Building Mapping with Hierarchical Transformers.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs HiT: Building Mapping with Hierarchical Transformers

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:46:13.188633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f294c6ba-585a-46ea-8119-03ae8b83043c · outbound

This paper cites Gpt4roi: Instruction tuning large language model on region-of-interest.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Gpt4roi: Instruction tuning large language model on region-of-interest

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:46:13.174907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d7f53afa-67ab-4129-8fb1-ac41a3f9eff3 · outbound

This paper cites OMG-LLaVA: Bridging Image-level, Object-level, Pixel-level Reasoning and Understanding.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs OMG-LLaVA: Bridging Image-level, Object-level, Pixel-level Reasoning and Understanding

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-06T19:46:12.460373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d347ad1-9a51-40ec-851f-1a87105d9ce2 · outbound

This paper cites Pixel-SAIL: Single Transformer For Pixel-Grounded Understanding.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Pixel-SAIL: Single Transformer For Pixel-Grounded Understanding

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-06T19:46:12.464562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1eeaea0-1738-4a20-860f-427110480de5 · outbound

This paper cites E2ec: An end-to-end contour-based method for high-quality high-speed instance segmentation.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs E2ec: An end-to-end contour-based method for high-quality high-speed instance segmentation

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:46:13.160009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 75124c75-c625-4f0c-9a5d-d9db4f6e4197 · outbound

This paper cites P2PFormer: A Primitive-to-polygon Method for Regular Building Contour Extraction from Remote Sensing Images.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs P2PFormer: A Primitive-to-polygon Method for Regular Building Contour Extraction from Remote Sensing Images

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:46:13.145458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e38dff98-5106-4db9-b4a2-82426754e431 · outbound

This paper cites Popeye: A Unified Visual-Language Model for Multi-Source Ship Detection from Remote Sensing Imagery.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Popeye: A Unified Visual-Language Model for Multi-Source Ship Detection from Remote Sensing Imagery

Reference 96

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:46:12.597719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f2d2a953-4bb8-4b02-a514-c83c161a84e7 · outbound

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

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Earthgpt: A universal multi-modal large language model for multi-sensor image comprehension in remote sensing domain

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:46:13.130723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a09fa0d4-3ad7-4110-88ca-09c776f96563 · outbound

This paper cites RS5M and GeoRSCLIP: A large scale vision-language dataset and a large vision-language model for remote sensing.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs RS5M and GeoRSCLIP: A large scale vision-language dataset and a large vision-language model for remote sensing

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:46:13.117110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3a167d90-4e72-487e-a4cc-b679bf24355a · outbound

This paper cites Building extraction from satellite images using mask r-cnn with building boundary regularization.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Building extraction from satellite images using mask r-cnn with building boundary regularization

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:46:13.102277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c48c7d0f-3e53-4584-8f84-413a13286d3f · outbound

This paper cites Building instance segmentation and boundary regularization from high-resolution remote sensing images.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs Building instance segmentation and boundary regularization from high-resolution remote sensing images

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:46:13.085675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers