A Fast and Accurate One-Stage Approach to Visual Grounding | Paper Citation Record

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This paper cites Bottom-up and top-down attention for image captioning and visual question answering.

A Fast and Accurate One-Stage Approach to Visual Grounding Bottom-up and top-down attention for image captioning and visual question answering

Reference 1

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Observation e313c44d-687f-46c9-87e2-5681344257cb · outbound

This paper cites Msrc: Multimodal spatial regression with semantic context for phrase grounding.

A Fast and Accurate One-Stage Approach to Visual Grounding Msrc: Multimodal spatial regression with semantic context for phrase grounding

Reference 2

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Observation 7f5ec710-b2f9-4891-997d-88a34ffdd60c · outbound

This paper cites Query-guided regression network with context policy for phrase ground- ing.

A Fast and Accurate One-Stage Approach to Visual Grounding Query-guided regression network with context policy for phrase ground- ing

Reference 3

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Observation 29c11b80-f0a4-4ab8-8d5d-ec15b3a29c07 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

A Fast and Accurate One-Stage Approach to Visual Grounding BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 4

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This paper cites Neural sequential phrase grounding (seqground).

A Fast and Accurate One-Stage Approach to Visual Grounding Neural sequential phrase grounding (seqground)

Reference 5

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This paper cites The segmented and annotated iapr tc-12 benchmark.

A Fast and Accurate One-Stage Approach to Visual Grounding The segmented and annotated iapr tc-12 benchmark

Reference 6

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Observation f6417af6-6172-4b19-a970-61fbe3ae60c8 · outbound

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

A Fast and Accurate One-Stage Approach to Visual Grounding The pascal visual object classes (voc) challenge

Reference 7

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Observation 187aed7b-f426-4b90-bd66-208d7662b5df · outbound

This paper cites Unsupervised image captioning.

A Fast and Accurate One-Stage Approach to Visual Grounding Unsupervised image captioning

Reference 8

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Observation cb9af571-ebff-461d-9807-b6d3577a408d · outbound

This paper cites Vqs: Linking segmentations to questions and answers for supervised attention in vqa and question-focused semantic segmentation.

A Fast and Accurate One-Stage Approach to Visual Grounding Vqs: Linking segmentations to questions and answers for supervised attention in vqa and question-focused semantic segmentation

Reference 9

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Observation 9ecd650c-6ffa-4d03-826e-fe17c81a5ff3 · outbound

This paper cites Fast r-cnn.

A Fast and Accurate One-Stage Approach to Visual Grounding Fast r-cnn

Reference 10

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This paper cites Mask r-cnn.

A Fast and Accurate One-Stage Approach to Visual Grounding Mask r-cnn

Reference 11

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Observation 28fcd494-d121-4e93-9b04-ee4349de6536 · outbound

This paper cites Deep residual learning for image recognition.

A Fast and Accurate One-Stage Approach to Visual Grounding Deep residual learning for image recognition

Reference 12

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Observation 8fc88fee-3d8b-4eb8-ac10-3c0ab2f1a0dc · outbound

This paper cites Seg- mentation from natural language expressions.

A Fast and Accurate One-Stage Approach to Visual Grounding Seg- mentation from natural language expressions

Reference 13

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Observation 222ae0c5-03b3-49f2-8d1c-2f78c3652b4d · outbound

This paper cites Natural language object re- trieval.

A Fast and Accurate One-Stage Approach to Visual Grounding Natural language object re- trieval

Reference 14

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Observation 84446249-5966-449f-809f-0f19c6a9ab14 · outbound

This paper cites Referitgame: Referring to objects in pho- tographs of natural scenes.

A Fast and Accurate One-Stage Approach to Visual Grounding Referitgame: Referring to objects in pho- tographs of natural scenes

Reference 15

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This paper cites Deep attribute-preserving metric learning for natural language object retrieval.

A Fast and Accurate One-Stage Approach to Visual Grounding Deep attribute-preserving metric learning for natural language object retrieval

Reference 16

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Observation 4c223974-84cf-482f-98ec-037c79ddb607 · outbound

This paper cites Tell-and-answer: Towards explainable visual question an- swering using attributes and captions.

A Fast and Accurate One-Stage Approach to Visual Grounding Tell-and-answer: Towards explainable visual question an- swering using attributes and captions

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:55:12.191684Z

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Observation d18cad78-f01e-4560-a100-11f0c9032862 · outbound

This paper cites Feature pyramid networks for object detection.

A Fast and Accurate One-Stage Approach to Visual Grounding Feature pyramid networks for object detection

Reference 18

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Observation 6fac5db6-cba0-4b1e-a57a-dd20d40dcd04 · outbound

This paper cites Microsoft coco: Common objects in context.

A Fast and Accurate One-Stage Approach to Visual Grounding Microsoft coco: Common objects in context

Reference 19

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Observation 4c25bc21-62a8-4614-b7b5-2201777f2f44 · outbound

This paper cites Recurrent multimodal interaction for refer- ring image segmentation.

A Fast and Accurate One-Stage Approach to Visual Grounding Recurrent multimodal interaction for refer- ring image segmentation

Reference 20

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Observation 19c774fe-cff0-429a-8e74-44bc1e117a10 · outbound

This paper cites Ssd: Single shot multibox detector.

A Fast and Accurate One-Stage Approach to Visual Grounding Ssd: Single shot multibox detector

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:55:12.132601Z

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Observation 64f5e608-c7fc-4b1d-913a-78539321dca1 · outbound

This paper cites Improving referring expression grounding with cross-modal attention-guided erasing.

A Fast and Accurate One-Stage Approach to Visual Grounding Improving referring expression grounding with cross-modal attention-guided erasing

Reference 22

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Observation a4fe9a4b-7cb3-4612-adee-495f3f231ec7 · outbound

This paper cites Comprehension- guided referring expressions.

A Fast and Accurate One-Stage Approach to Visual Grounding Comprehension- guided referring expressions

Reference 23

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Observation 1941cfb0-e714-4f8f-91d3-048573786179 · outbound

This paper cites Generation and comprehension of unambiguous object descriptions.

A Fast and Accurate One-Stage Approach to Visual Grounding Generation and comprehension of unambiguous object descriptions

Reference 24

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Observation 9f9cffbb-732e-48c1-ad5c-7ae37f593cf3 · outbound

This paper cites Dynamic multimodal instance segmentation guided by natural language queries.

A Fast and Accurate One-Stage Approach to Visual Grounding Dynamic multimodal instance segmentation guided by natural language queries

Reference 25

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Observation 16ac2ed0-d065-45a1-8545-846d0f8d0415 · outbound

This paper cites Distributed representations of words and phrases and their compositionality.

A Fast and Accurate One-Stage Approach to Visual Grounding Distributed representations of words and phrases and their compositionality

Reference 26

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Observation 0a3d39b6-e267-4653-ba94-7f2ff6b1c7c3 · outbound

This paper cites Mod- eling context between objects for referring expression un- derstanding.

A Fast and Accurate One-Stage Approach to Visual Grounding Mod- eling context between objects for referring expression un- derstanding

Reference 27

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Observation 18a9c807-fa59-4e85-ac6f-192335e743ac · outbound

This paper cites Im- proving the ﬁsher kernel for large-scale image classiﬁcation.

A Fast and Accurate One-Stage Approach to Visual Grounding Im- proving the ﬁsher kernel for large-scale image classiﬁcation

Reference 28

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Observation 96cb83fe-95ff-4af1-9aff-9515bfc4be25 · outbound

This paper cites Plummer, Paige Kordas, M.

A Fast and Accurate One-Stage Approach to Visual Grounding Plummer, Paige Kordas, M

Reference 29

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This paper cites Flickr30k entities: Collecting region-to-phrase corre- spondences for richer image-to-sentence models.

A Fast and Accurate One-Stage Approach to Visual Grounding Flickr30k entities: Collecting region-to-phrase corre- spondences for richer image-to-sentence models

Reference 30

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This paper cites 2, 3, 4, 5, 6.

A Fast and Accurate One-Stage Approach to Visual Grounding 2, 3, 4, 5, 6

Reference 31

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This paper cites You only look once: Uniﬁed, real-time object de- tection.

A Fast and Accurate One-Stage Approach to Visual Grounding You only look once: Uniﬁed, real-time object de- tection

Reference 32

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Observation 9c23c48a-8026-4f80-a544-7eed6fe897f4 · outbound

This paper cites Yolo9000: better, faster, stronger.

A Fast and Accurate One-Stage Approach to Visual Grounding Yolo9000: better, faster, stronger

Reference 33

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Observation bfcea0a0-7568-47da-a7a9-f3d425d8c0fd · outbound

This paper cites YOLOv3: An Incremental Improvement.

A Fast and Accurate One-Stage Approach to Visual Grounding YOLOv3: An Incremental Improvement

Reference 34

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This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.

A Fast and Accurate One-Stage Approach to Visual Grounding Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 35

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Observation 8e3070fc-ac99-4c2b-90cf-5141e0268048 · outbound

This paper cites Grounding of textual phrases in images by reconstruction.

A Fast and Accurate One-Stage Approach to Visual Grounding Grounding of textual phrases in images by reconstruction

Reference 36

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This paper cites Berg, and Li Fei-Fei.

A Fast and Accurate One-Stage Approach to Visual Grounding Berg, and Li Fei-Fei

Reference 37

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Observation c0adf11b-18ea-4ee6-9647-9d95e1a1673f · outbound

This paper cites Faster r-cnn features for instance search.

A Fast and Accurate One-Stage Approach to Visual Grounding Faster r-cnn features for instance search

Reference 38

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This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

A Fast and Accurate One-Stage Approach to Visual Grounding Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 39

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This paper cites Parsing with compositional vector grammars.

A Fast and Accurate One-Stage Approach to Visual Grounding Parsing with compositional vector grammars

Reference 40

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This paper cites Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent mag- nitude.

A Fast and Accurate One-Stage Approach to Visual Grounding Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent mag- nitude

Reference 41

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Observation 31881fdf-a29e-4f6d-b080-ece6dc0f7da6 · outbound

This paper cites Selective search for ob- ject recognition.

A Fast and Accurate One-Stage Approach to Visual Grounding Selective search for ob- ject recognition

Reference 42

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Observation 0e7ca21b-75fb-4315-8bc4-dd85f4d95cc7 · outbound

This paper cites Learning two-branch neural networks for image-text match- ing tasks.

A Fast and Accurate One-Stage Approach to Visual Grounding Learning two-branch neural networks for image-text match- ing tasks

Reference 43

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Observation c037a184-0240-48ed-a8de-68f1429fe6bb · outbound

This paper cites Learning deep structure-preserving image-text embeddings.

A Fast and Accurate One-Stage Approach to Visual Grounding Learning deep structure-preserving image-text embeddings

Reference 44

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Observation c8ab59d5-af30-4df5-a47a-acb6405928f1 · outbound

This paper cites Interpretable and globally optimal pre- diction for textual grounding using image concepts.

A Fast and Accurate One-Stage Approach to Visual Grounding Interpretable and globally optimal pre- diction for textual grounding using image concepts

Reference 45

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This paper cites Image captioning with semantic attention.

A Fast and Accurate One-Stage Approach to Visual Grounding Image captioning with semantic attention

Reference 46

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This paper cites From image descriptions to visual denotations: New similarity metrics for semantic inference over event descrip- tions.

A Fast and Accurate One-Stage Approach to Visual Grounding From image descriptions to visual denotations: New similarity metrics for semantic inference over event descrip- tions

Reference 47

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This paper cites Mattnet: Modular atten- tion network for referring expression comprehension.

A Fast and Accurate One-Stage Approach to Visual Grounding Mattnet: Modular atten- tion network for referring expression comprehension

Reference 48

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Observation db96d21b-8c94-4b6d-9a64-8392ebff8f11 · outbound

This paper cites Modeling context in referring expres- sions.

A Fast and Accurate One-Stage Approach to Visual Grounding Modeling context in referring expres- sions

Reference 49

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Observation e6ca58b2-1d9f-4ede-93bc-5e407200082d · outbound

This paper cites A joint speaker-listener-reinforcer model for referring expres- sions.

A Fast and Accurate One-Stage Approach to Visual Grounding A joint speaker-listener-reinforcer model for referring expres- sions

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:55:11.723865Z

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Observation 03ca5762-0428-479b-bc44-6e35477e2fa6 · outbound

This paper cites Ground- ing referring expressions in images by variational context.

A Fast and Accurate One-Stage Approach to Visual Grounding Ground- ing referring expressions in images by variational context

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:55:11.708463Z

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Observation f3832973-384d-4eb1-af96-7f5c0923950d · outbound

This paper cites Discriminative bimodal networks for visual localization and detection with natural language queries.

A Fast and Accurate One-Stage Approach to Visual Grounding Discriminative bimodal networks for visual localization and detection with natural language queries

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:55:11.692025Z

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Observation 079f9950-04a7-4442-a54c-4f7731c5c365 · outbound

This paper cites Weakly supervised phrase localization with multi-scale anchored transformer network.

A Fast and Accurate One-Stage Approach to Visual Grounding Weakly supervised phrase localization with multi-scale anchored transformer network

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:55:11.677645Z

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Observation 4f2fbce2-108d-4305-a01b-b37e19756b22 · outbound

This paper cites Visual7w: Grounded question answering in images.

A Fast and Accurate One-Stage Approach to Visual Grounding Visual7w: Grounded question answering in images

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:55:11.663054Z

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

Observation 5b78738a-f77f-4c7d-913d-ab60b6af7688 · outbound

This paper cites testA” contains images with multiple people and “testB.

A Fast and Accurate One-Stage Approach to Visual Grounding testA” contains images with multiple people and “testB

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:55:11.648830Z

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