Paper Citation Record · LEDGER

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition

As of 23 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:1907.07570.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1907.07570 v2

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-24T20:28:14.812358Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

46 of 46 outbound references displayed

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verified fuzzy43
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0207d827-6b20-4353-81e6-1b1a5e56d892 · outbound

This paper cites Multi-scale recognition with DAG-CNNs.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition Multi-scale recognition with DAG-CNNs

Reference 1

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Observation 4066ac51-6970-477a-be16-b2504f706e8a · outbound

This paper cites Relay backpropagation for effective learning of deep convolutional neural networks.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition Relay backpropagation for effective learning of deep convolutional neural networks

Reference 2

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Observation a3471ec4-3577-440d-af66-36551764b2eb · outbound

This paper cites Squeeze-and-excitation networks.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition Squeeze-and-excitation networks

Reference 3

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Observation 5e96ffcd-ffbf-4bc6-afd7-d215ca7285a0 · outbound

This paper cites Dft-based transformation invariant pooling layer for visual classiﬁcation.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition Dft-based transformation invariant pooling layer for visual classiﬁcation

Reference 4

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Observation 500472d6-6b00-48b2-bd37-a727853316fa · outbound

This paper cites Scene recognition with cnns: objects, scales and dataset bias.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition Scene recognition with cnns: objects, scales and dataset bias

Reference 5

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Observation 2b995263-b0e1-4283-b41d-55d0d61280c3 · outbound

This paper cites Scene recognition with objectness.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition Scene recognition with objectness

Reference 6

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Observation f2597a36-fd11-49ef-afcd-61742e4b8a0b · outbound

This paper cites Knowledge guided disambiguation for large-scale scene classiﬁcation with multi-resolution cnns.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition Knowledge guided disambiguation for large-scale scene classiﬁcation with multi-resolution cnns

Reference 7

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Observation a40ab367-eb6d-4c81-9c72-7359cb4a618a · outbound

This paper cites Deriving high-level scene descriptions from deep scene cnn features.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition Deriving high-level scene descriptions from deep scene cnn features

Reference 8

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Observation 497b119d-0830-467a-8498-afe343f4a15d · outbound

This paper cites Scene recognition via object-to-scene class conversion: end-to-end training.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition Scene recognition via object-to-scene class conversion: end-to-end training

Reference 9

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Observation 82caebf3-f06c-4278-b397-52b9aa103e1c · outbound

This paper cites Imagenet large scale visual recognition challenge.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition Imagenet large scale visual recognition challenge

Reference 10

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Observation da753a5b-5d55-4636-ad0e-feeb4907b813 · outbound

This paper cites The pascal visual object classes (voc) challenge.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition The pascal visual object classes (voc) challenge

Reference 11

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Observation 588910b4-67a0-41fc-a761-dc9341ca7962 · outbound

This paper cites Microsoft coco: Common objects in context.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition Microsoft coco: Common objects in context

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:29:54.072051Z

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Observation 6eb03f69-bc84-4806-aec2-3259a74026e4 · outbound

This paper cites From volcano to toyshop: Adaptive discrim- inative region discovery for scene recognition.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition From volcano to toyshop: Adaptive discrim- inative region discovery for scene recognition

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:29:54.069129Z

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Observation 329592de-6adf-458a-abef-aeeebeeacc86 · outbound

This paper cites Multi-scale multi-feature context modeling for scene recognition in the semantic manifold.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition Multi-scale multi-feature context modeling for scene recognition in the semantic manifold

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:29:54.076601Z

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Observation 11ad9780-af94-41a0-b9fb-4ce528c796b9 · outbound

This paper cites Harvesting discriminative meta objects with deep cnn features for scene classiﬁcation.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition Harvesting discriminative meta objects with deep cnn features for scene classiﬁcation

Reference 15

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Observation 1a945951-68aa-4de0-8351-e3a2a5f1f7ae · outbound

This paper cites Scene categorization model using deep visually sensitive features.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition Scene categorization model using deep visually sensitive features

Reference 16

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Observation 8025e5cd-6f16-470d-b37f-72f1fc337284 · outbound

This paper cites Scene recognition and weakly supervised object localization with deformable part-based models.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition Scene recognition and weakly supervised object localization with deformable part-based models

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:29:54.059733Z

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Observation 3b947c72-233c-4f89-a562-35e83d4fa982 · outbound

This paper cites Reconﬁgurable models for scene recognition.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition Reconﬁgurable models for scene recognition

Reference 18

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Observation 5223942a-77f1-4182-97ce-1e1be9bfdc21 · outbound

This paper cites Scene categorization using deeply learned gaze shifting kernel.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition Scene categorization using deeply learned gaze shifting kernel

Reference 19

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Observation 932771bc-d15b-4152-ad3a-aab76ec5d97e · outbound

This paper cites Fusing object semantics and deep appearance features for scene recognition.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition Fusing object semantics and deep appearance features for scene recognition

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:29:54.079829Z

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Observation ef27aeb1-88e6-4d91-bb43-2d23fa8ed3ea · outbound

This paper cites Hybrid cnn and dictionary-based models for scene recognition and domain adaptation.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition Hybrid cnn and dictionary-based models for scene recognition and domain adaptation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:29:54.053815Z

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Observation 0deaa8e9-e045-4d5f-91ee-e5a498e6d1d0 · outbound

This paper cites Weakly supervised patchnets: Describing and aggregating local patches for scene recogni- tion.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition Weakly supervised patchnets: Describing and aggregating local patches for scene recogni- tion

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:29:54.035334Z

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Observation e048f040-0bce-483e-8d9a-e6eaaa6a71bb · outbound

This paper cites A robust indoor scene recognition method based on sparse representation.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition A robust indoor scene recognition method based on sparse representation

Reference 23

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Observation 476aeec5-2e31-48a8-9fc5-306d16cee6db · outbound

This paper cites Support-vector networks.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition Support-vector networks

Reference 24

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Observation cc640b3e-6b6d-41ef-9be2-bc0a5123079a · outbound

This paper cites Deep residual learning for image recognition.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition Deep residual learning for image recognition

Reference 25

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Observation d1a0d46c-62f8-4ed8-8fa9-9a8f60f8b942 · outbound

This paper cites Densely connected convolutional networks.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition Densely connected convolutional networks

Reference 26

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Observation 8935bdc8-2659-4cb8-9e7e-d39e1af97cc7 · outbound

This paper cites Aggregated residual transformations for deep neural networks.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition Aggregated residual transformations for deep neural networks

Reference 27

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Observation 78dd59b5-977b-4272-b1ca-d53de2d46c8c · outbound

This paper cites Places: A 10 million image database for scene recognition.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition Places: A 10 million image database for scene recognition

Reference 28

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Observation 59648724-0386-4379-9ca6-d026b85ed1dd · outbound

This paper cites Learning deep features for discriminative localization.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition Learning deep features for discriminative localization

Reference 29

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This paper cites Partial Convolution based Padding.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition Partial Convolution based Padding

Reference 30

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Observation 2b60cb2e-2910-42fb-99b4-7bcb0b119d69 · outbound

This paper cites Learnable pooling with Context Gating for video classification.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition Learnable pooling with Context Gating for video classification

Reference 31

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Observation c3735b89-ca78-431e-98d2-5cd77cbd92c7 · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition Batch normalization: Accelerating deep network training by reducing internal covariate shift

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:29:54.040610Z

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Observation 858e0ef2-1ae6-4dbd-80ec-eafafc6bf1ac · outbound

This paper cites Sun database: Large-scale scene recognition from abbey to zoo.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition Sun database: Large-scale scene recognition from abbey to zoo

Reference 33

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Observation 2da896f7-dcb0-4c4d-9580-653a587258e0 · outbound

This paper cites Recognizing indoor scenes.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition Recognizing indoor scenes

Reference 34

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Observation c708b332-5f53-4cbf-8e92-f27f8435c97f · outbound

This paper cites Learning deep features for scene recognition using places database.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition Learning deep features for scene recognition using places database

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:29:54.032423Z

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Observation b2599564-5148-41d8-9b12-46ed00cb19a2 · outbound

This paper cites Imagenet classiﬁca- tion with deep convolutional neural networks.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition Imagenet classiﬁca- tion with deep convolutional neural networks

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:29:54.000107Z

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Observation 2e5579da-a7fd-420d-a563-3074d53cf584 · outbound

This paper cites Very deep convolutional networks for large-scale image recognition.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition Very deep convolutional networks for large-scale image recognition

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:29:54.029557Z

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Observation 63b9b1ae-344c-4f9a-8b1c-1f778d5c1b3d · outbound

This paper cites Going deeper with convolutions.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition Going deeper with convolutions

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:29:54.006159Z

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Observation 2ed35bee-4f79-4fe0-ba34-a042c0f1571f · outbound

This paper cites Rethinking the inception architecture for computer vision.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition Rethinking the inception architecture for computer vision

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:29:54.026532Z

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Observation 34c02ca8-1ecd-4b23-bac8-5b47eb1a1074 · outbound

This paper cites Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-05-24T20:29:53.112168Z

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Observation 2fefe131-df0f-4156-8e24-3e31a80847d5 · outbound

This paper cites Training and investigating residual nets.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition Training and investigating residual nets

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:29:54.023723Z

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Observation 92f2e296-bfce-4615-a08c-1d8a5f964c03 · outbound

This paper cites A survey on transfer learning.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition A survey on transfer learning

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:29:54.017992Z

Source-reported events for the cited work

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Observation 4ec518b3-4b72-4b63-99d0-6d3115676de7 · outbound

This paper cites Places401 and places365 models.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition Places401 and places365 models

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:29:54.011810Z

Source-reported events for the cited work

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Observation f4341e63-a2f5-4325-94b1-276f55ad3e34 · outbound

This paper cites Yolo9000: better, faster, stronger.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition Yolo9000: better, faster, stronger

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:29:54.009012Z

Source-reported events for the cited work

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Observation c1e63578-837b-4de7-a588-0cafde598747 · outbound

This paper cites Long short-term memory.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition Long short-term memory

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:29:54.014999Z

Source-reported events for the cited work

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Observation e628ad9e-ab28-4812-a64a-bbd5d2ef35fe · outbound

This paper cites Object bank: A high- level image representation for scene classiﬁcation & semantic feature sparsiﬁcation.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition Object bank: A high- level image representation for scene classiﬁcation & semantic feature sparsiﬁcation

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T20:29:54.020897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.