SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision | Paper Citation Record

Observation 04402dbf-904a-4a16-9617-be2cfbdb1df6 · outbound

This paper cites Masked siamese networks for label-efficient learning.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision Masked siamese networks for label-efficient learning

Reference 1

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Observation 52a44e3f-70e1-400c-b7b4-9e8f696e54cf · outbound

This paper cites BEiT: BERT Pre-Training of Image Transformers.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision BEiT: BERT Pre-Training of Image Transformers

Reference 2

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This paper cites Vision founda- tion models in agriculture: Toward domain-specific adap- tation for weed herbicide trials assessment.arXiv preprint arXiv:2511.04288, 2025.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision Vision founda- tion models in agriculture: Toward domain-specific adap- tation for weed herbicide trials assessment.arXiv preprint arXiv:2511.04288, 2025

Reference 3

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Observation dc3e0118-1936-4657-b6df-74fefcb377ee · outbound

This paper cites End-to- end object detection with transformers.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision End-to- end object detection with transformers

Reference 4

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Observation 284d6fe9-052f-4931-b291-1ae1bf210600 · outbound

This paper cites Emerg- ing properties in self-supervised vision transformers.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision Emerg- ing properties in self-supervised vision transformers

Reference 5

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Observation f35f8e71-476e-4c7e-87e4-7eaa0fcac40e · outbound

This paper cites Agri- cultural robot dataset for plant classification, localization and mapping on sugar beet fields.The International Journal of Robotics Research, 36(10):1045–1052, 2017.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision Agri- cultural robot dataset for plant classification, localization and mapping on sugar beet fields.The International Journal of Robotics Research, 36(10):1045–1052, 2017

Reference 6

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Observation b6d25fd0-0f4e-43f7-a100-97407297b49c · outbound

This paper cites A simple framework for contrastive learning of visual representations.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision A simple framework for contrastive learning of visual representations

Reference 7

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Observation 7f816ee4-0881-4e1e-a2ee-2cf38e0e320c · outbound

This paper cites Orochi: Versatile biomedical image pro- cessor.arXiv preprint arXiv:2509.22583, 2025.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision Orochi: Versatile biomedical image pro- cessor.arXiv preprint arXiv:2509.22583, 2025

Reference 8

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Observation bed540b9-229f-4e11-b6e0-a43499a2fd43 · outbound

This paper cites Global wheat head detection 2021: An improved dataset for benchmarking wheat head detection methods.Plant Phenomics, 2021.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision Global wheat head detection 2021: An improved dataset for benchmarking wheat head detection methods.Plant Phenomics, 2021

Reference 9

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Observation a0787e46-7d03-4988-9050-92bbf8c74903 · outbound

This paper cites Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration

Reference 10

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Observation 01369631-7c1f-4816-80a1-5a108b9d1080 · outbound

This paper cites Diamos plant: A dataset for diagnosis and monitoring plant disease.Agron- omy, 11(11):2107, 2021.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision Diamos plant: A dataset for diagnosis and monitoring plant disease.Agron- omy, 11(11):2107, 2021

Reference 11

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Observation 1e492ffc-9d1f-4211-b84c-f3e2ac0e0b82 · outbound

This paper cites Rankme: Assessing the downstream perfor- mance of pretrained self-supervised representations by their rank.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision Rankme: Assessing the downstream perfor- mance of pretrained self-supervised representations by their rank

Reference 12

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Observation d9c0ace9-d15c-4bc7-8a12-a54a9f1bb29a · outbound

This paper cites FoMo4Wheat: Toward reliable crop vision foundation models with globally curated data.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision FoMo4Wheat: Toward reliable crop vision foundation models with globally curated data

Reference 13

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Observation f988684c-3f03-4755-9f59-5698dbf196b6 · outbound

This paper cites Minneapple: a benchmark dataset for apple detection and segmentation.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision Minneapple: a benchmark dataset for apple detection and segmentation

Reference 14

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Observation c8f2f9a9-ae82-4c85-a958-f43646c289fd · outbound

This paper cites Deep residual learning for image recognition.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision Deep residual learning for image recognition

Reference 15

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Observation 634923e9-efe7-4e0d-82a3-d92e3708b9f4 · outbound

This paper cites Masked autoencoders are scalable vision learners.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision Masked autoencoders are scalable vision learners

Reference 16

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Observation e6db5d0b-e494-44c5-a886-a7632d5ce3f7 · outbound

This paper cites Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 17

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Observation add5f041-19e8-4f2b-a1fb-475178c593db · outbound

This paper cites A comprehensive dragon fruit image dataset for detecting the maturity and quality grading of dragon fruit.Data in Brief, 52:109936, 2024.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision A comprehensive dragon fruit image dataset for detecting the maturity and quality grading of dragon fruit.Data in Brief, 52:109936, 2024

Reference 18

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Observation eb501be6-b570-45c8-971a-bb6dfd151c6c · outbound

This paper cites Auto-Encoding Variational Bayes.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision Auto-Encoding Variational Bayes

Reference 19

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Observation 4810e3ab-3e38-494a-8f84-4e0a010075d1 · outbound

This paper cites Banana and guava dataset for machine learning and deep learning-based quality classification.Data in Brief, 57:111025, 2024.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision Banana and guava dataset for machine learning and deep learning-based quality classification.Data in Brief, 57:111025, 2024

Reference 20

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Observation effe0ff8-7fc0-43fb-b193-aee424612c4e · outbound

This paper cites Weed detection dataset with rgb images taken under variable light conditions.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision Weed detection dataset with rgb images taken under variable light conditions

Reference 21

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Observation 1c7c4399-d8a9-40b9-97e4-7a61e6883d8e · outbound

This paper cites Back to Basics: Let Denoising Generative Models Denoise.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision Back to Basics: Let Denoising Generative Models Denoise

Reference 22

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Observation c49abd8c-abee-41ff-873c-9a33fdf3e034 · outbound

This paper cites Csrnet: Di- lated convolutional neural networks for understanding the highly congested scenes.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision Csrnet: Di- lated convolutional neural networks for understanding the highly congested scenes

Reference 23

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Observation 91e794d7-2481-4441-a198-2cf780667c10 · outbound

This paper cites Csnet: A count-supervised network via multiscale mlp-mixer for wheat ear counting.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision Csnet: A count-supervised network via multiscale mlp-mixer for wheat ear counting

Reference 24

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Observation 1a90d3f9-88cb-4bab-a9f4-b7379ebe5374 · outbound

This paper cites Transcrowd: weakly-supervised crowd counting with transformers.Science China Information Sciences, 65(6): 160104, 2022.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision Transcrowd: weakly-supervised crowd counting with transformers.Science China Information Sciences, 65(6): 160104, 2022

Reference 25

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Observation c76765eb-d2db-4483-b80a-241c2973b712 · outbound

This paper cites Flow Matching for Generative Modeling.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision Flow Matching for Generative Modeling

Reference 26

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Observation 4a862b4c-5df1-4c9a-bb4a-d23e2b73b402 · outbound

This paper cites DeCo: Frequency-Decoupled Pixel Diffusion for End-to-End Image Generation.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision DeCo: Frequency-Decoupled Pixel Diffusion for End-to-End Image Generation

Reference 27

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Observation a66515bd-4f8a-415c-86b2-52d8a4d8ac3c · outbound

This paper cites iCassava 2019 Fine-Grained Visual Categorization Challenge.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision iCassava 2019 Fine-Grained Visual Categorization Challenge

Reference 28

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Observation f41c5dfb-6c96-4014-9e6a-2cd6a0dbe6b4 · outbound

This paper cites Out- door oil palm fruit ripeness dataset.Data in brief, 55:110667,.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision Out- door oil palm fruit ripeness dataset.Data in brief, 55:110667,

Reference 29

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Observation 49c730e0-e7c4-4b4e-b537-2c702e998696 · outbound

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

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision DINOv2: Learning Robust Visual Features without Supervision

Reference 30

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This paper cites Astroclip: a cross-modal foundation model for galaxies.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision Astroclip: a cross-modal foundation model for galaxies

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Observation e0becd11-c743-4d5d-a7e3-8fa01537a5c3 · outbound

This paper cites Rocole: A robusta coffee leaf images dataset for evaluation of machine learning based methods in plant diseases recognition.Data in brief, 25:104414, 2019.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision Rocole: A robusta coffee leaf images dataset for evaluation of machine learning based methods in plant diseases recognition.Data in brief, 25:104414, 2019

Reference 32

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Observation aeb78536-0ac2-4de5-9d22-3030d3c0c5cc · outbound

This paper cites Scalable diffusion models with transformers.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision Scalable diffusion models with transformers

Reference 34

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Observation ce3712e8-e081-4a9c-91a4-72c1624f1517 · outbound

This paper cites Exploring scalable medical image encoders beyond text supervision.Nature Machine Intelligence, 7(1): 119–130, 2025.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision Exploring scalable medical image encoders beyond text supervision.Nature Machine Intelligence, 7(1): 119–130, 2025

Reference 35

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Observation 2cb34d62-0c69-4597-857d-b835885849e5 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision Learning transferable visual models from natural language supervi- sion

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This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.IEEE transactions on pattern analysis and machine intelligence, 39(6):1137–1149, 2016.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision Faster r-cnn: Towards real-time object detection with region proposal networks.IEEE transactions on pattern analysis and machine intelligence, 39(6):1137–1149, 2016

Reference 37

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Observation 87af7b01-582d-48cc-b3e8-b51cb2e4e1e4 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision High-resolution image synthesis with latent diffusion models

Reference 38

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Observation fb85ecd7-13bb-431c-964e-eebf76da6c55 · outbound

This paper cites The effective rank: A mea- sure of effective dimensionality.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision The effective rank: A mea- sure of effective dimensionality

Reference 39

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Observation 58bc95b4-1663-4445-ac69-4b99906811b2 · outbound

This paper cites Grape detection, segmentation, and tracking using deep neural networks and three-dimensional association.Computers and Electronics in Agriculture, 170: 105247, 2020.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision Grape detection, segmentation, and tracking using deep neural networks and three-dimensional association.Computers and Electronics in Agriculture, 170: 105247, 2020

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Observation 096ec1f1-9b4c-4211-a47c-89338f9eb598 · outbound

This paper cites WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification

Reference 41

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Observation f4103526-62d1-4536-923f-8fd475ff46bd · outbound

This paper cites DINOv3.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision DINOv3

Reference 42

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Observation dc32f5e2-4070-4568-a060-a193cc301f4d · outbound

This paper cites The cropandweed dataset: A multi-modal learning approach for efficient crop and weed 12 manipulation.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision The cropandweed dataset: A multi-modal learning approach for efficient crop and weed 12 manipulation

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Observation 48aee118-f579-4302-9def-abe800f7eb0e · outbound

This paper cites Apple, peach, and pear flower detection using semantic segmentation network and shape constraint level set.Com- puters and Electronics in Agriculture, 185:106150, 2021.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision Apple, peach, and pear flower detection using semantic segmentation network and shape constraint level set.Com- puters and Electronics in Agriculture, 185:106150, 2021

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Observation 4131736e-e03d-42ff-8cb8-f3210d04064c · outbound

This paper cites Is noise conditioning necessary for denoising genera- tive models?arXiv preprint arXiv:2502.13129, 2025.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision Is noise conditioning necessary for denoising genera- tive models?arXiv preprint arXiv:2502.13129, 2025

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Observation 72280d73-c625-4f09-bd92-05cac203e034 · outbound

This paper cites Sugarcane leaf dataset: A dataset for disease de- tection and classification for machine learning applications.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision Sugarcane leaf dataset: A dataset for disease de- tection and classification for machine learning applications

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Observation 7ec423f4-f35b-4228-8fbe-cf6e1a0dde97 · outbound

This paper cites an unresolved cited work.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision Unresolved cited work

Reference 47

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Observation 7a0d1943-10e4-4d84-b1b6-ee39e9860951 · outbound

This paper cites Yolov8: A novel object detection algorithm with enhanced performance and robust- ness.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision Yolov8: A novel object detection algorithm with enhanced performance and robust- ness

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Observation bd6bd4be-048c-4d85-b4f8-7af65ac4e404 · outbound

This paper cites Diffusion as self- distillation: End-to-end latent diffusion in one model.arXiv preprint arXiv:2511.14716, 2025.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision Diffusion as self- distillation: End-to-end latent diffusion in one model.arXiv preprint arXiv:2511.14716, 2025

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Observation 994a8768-8596-41bd-8510-49ecdbb5590a · outbound

This paper cites The global wheat full semantic organ seg- mentation (gwfss) dataset.Plant Phenomics, 7(3):100084,.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision The global wheat full semantic organ seg- mentation (gwfss) dataset.Plant Phenomics, 7(3):100084,

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Observation 401e473e-aff7-4053-8c00-064dea7f7fdb · outbound

This paper cites Yolo pod: a fast and accurate multi-task model for dense soybean pod counting.Plant methods, 19(1):8,.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision Yolo pod: a fast and accurate multi-task model for dense soybean pod counting.Plant methods, 19(1):8,

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Observation 06e125d8-b992-4a67-9867-20980417a6a1 · outbound

This paper cites Sigmoid loss for language image pre-training.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision Sigmoid loss for language image pre-training

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Observation 239b8038-ec07-4a04-aac0-272b5f165e99 · outbound

This paper cites iBOT: Image BERT Pre-Training with Online Tokenizer.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision iBOT: Image BERT Pre-Training with Online Tokenizer

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Observation 55f8b87b-6bc2-429d-85f9-6c60d2193348 · outbound

This paper cites Global Rice Multi-Class Segmentation Dataset (RiceSEG): A Comprehensive and Diverse High-Resolution RGB-Annotated Images for the Development and Benchmarking of Rice Segmentation Algorithms.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision Global Rice Multi-Class Segmentation Dataset (RiceSEG): A Comprehensive and Diverse High-Resolution RGB-Annotated Images for the Development and Benchmarking of Rice Segmentation Algorithms

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