Towards Unsupervised Image Captioning with Shared Multimodal Embeddings | Paper Citation Record

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This paper cites Spice: Semantic propositional image cap- tion evaluation.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Spice: Semantic propositional image cap- tion evaluation

Reference 1

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Observation 5af452b7-3d16-462c-879f-85ce8327d493 · outbound

This paper cites Guided open vocabulary image captioning with constrained beam search.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Guided open vocabulary image captioning with constrained beam search

Reference 2

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Observation 97bd61fd-f0ce-4a27-be01-0d1a96643300 · outbound

This paper cites Partially-supervised image captioning.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Partially-supervised image captioning

Reference 3

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Observation cd622e6e-eb10-4e62-9da2-049a44506978 · outbound

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

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Bottom-up and top-down attention for image captioning and visual question answering

Reference 4

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Observation 465e539e-eaee-4d12-b385-cb964f062c7c · outbound

This paper cites Women also snowboard: Over- coming bias in captioning models.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Women also snowboard: Over- coming bias in captioning models

Reference 5

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Observation cd20f5a7-7f92-487b-9e7c-18306e0943e9 · outbound

This paper cites Deep compositional captioning: Describing novel ob- ject categories without paired training data.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Deep compositional captioning: Describing novel ob- ject categories without paired training data

Reference 6

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Observation 37608bf8-7d38-4074-bf61-dad8e8ef08f0 · outbound

This paper cites Lawrence Zitnick, and Devi Parikh.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Lawrence Zitnick, and Devi Parikh

Reference 7

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Observation f0696281-d196-425f-ae58-76177ceb549c · outbound

This paper cites Adversarial text generation via feature-mover’s distance.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Adversarial text generation via feature-mover’s distance

Reference 8

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Observation a6a209ca-8435-4475-8d61-c1b6eb3e5543 · outbound

This paper cites Show, adapt and tell: Adversarial training of cross-domain image cap- tioner.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Show, adapt and tell: Adversarial training of cross-domain image cap- tioner

Reference 9

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Observation 37b91ab8-d4c5-4820-a2d9-9baf2e576db4 · outbound

This paper cites Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Reference 10

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This paper cites To- wards diverse and natural image descriptions via a condi- tional GAN.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings To- wards diverse and natural image descriptions via a condi- tional GAN

Reference 11

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Observation a296666d-260e-4bad-a15c-60fbf54f8b2f · outbound

This paper cites Visual dialog.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Visual dialog

Reference 12

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Observation 9b6c5ffe-db60-4622-ad3a-ac17afd8e0ba · outbound

This paper cites Meteor universal: Lan- guage speciﬁc translation evaluation for any target language.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Meteor universal: Lan- guage speciﬁc translation evaluation for any target language

Reference 13

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Observation 96ddcc7f-eeb6-4429-9539-e8ece88393e6 · outbound

This paper cites Long-term recurrent convolutional net- works for visual recognition and description.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Long-term recurrent convolutional net- works for visual recognition and description

Reference 14

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Observation 174b51ff-a2df-4233-a99e-92a9490c6535 · outbound

This paper cites Adversarial Feature Learning.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Adversarial Feature Learning

Reference 15

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Observation d557ae01-89a5-4f1c-8b2f-3ea5e75fa703 · outbound

This paper cites VSE++: Improving Visual-Semantic Embeddings with Hard Negatives.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings VSE++: Improving Visual-Semantic Embeddings with Hard Negatives

Reference 16

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Observation aea4e3e0-1b75-4341-b3a1-40ca4affc4dc · outbound

This paper cites From captions to vi- sual concepts and back.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings From captions to vi- sual concepts and back

Reference 17

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Observation 4866dddf-2f31-4059-b0bd-2177e7d0a151 · outbound

This paper cites Unsupervised Image Captioning.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Unsupervised Image Captioning

Reference 18

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Observation 79f3acfb-a3a4-4087-bf21-c112bc25ec89 · outbound

This paper cites StyleNet: Generating attractive visual captions with styles.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings StyleNet: Generating attractive visual captions with styles

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:21:50.194138Z

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Observation ce139965-5b8c-46f6-ad4e-724719239783 · outbound

This paper cites Un- paired image captioning by language pivoting.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Un- paired image captioning by language pivoting

Reference 20

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Observation 5487240a-7548-4ed3-9600-ac34efdb04ac · outbound

This paper cites Improved training of wasserstein gans.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Improved training of wasserstein gans

Reference 21

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Observation 711de645-aeae-4efe-b938-683a37a07f0c · outbound

This paper cites MSCap: Multi-style image captioning with un- paired stylized text.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings MSCap: Multi-style image captioning with un- paired stylized text

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:21:50.151076Z

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Observation 7d9848f4-4871-4f17-aedb-d955dd1e28a6 · outbound

This paper cites VizWiz grand challenge: Answering visual questions from blind people.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings VizWiz grand challenge: Answering visual questions from blind people

Reference 23

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Observation f1255e8a-a030-44fd-bf18-fc2e7ac68918 · outbound

This paper cites Deep residual learning for image recognition.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Deep residual learning for image recognition

Reference 24

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Observation f7e9902d-867a-47e4-acbc-3be5f12ab9bd · outbound

This paper cites Speed/accuracy trade-offs for modern convolutional object detectors.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Speed/accuracy trade-offs for modern convolutional object detectors

Reference 25

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Observation 7412c2ab-6660-4bc3-b97e-1cbfe57af8b9 · outbound

This paper cites DenseCap: Fully convolutional localization networks for dense caption- ing.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings DenseCap: Fully convolutional localization networks for dense caption- ing

Reference 26

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Observation 13c9505c-4874-4445-b13b-17d8a512eed3 · outbound

This paper cites Deep visual-semantic align- ments for generating image descriptions.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Deep visual-semantic align- ments for generating image descriptions

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:21:50.080284Z

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Observation e921cc49-5e6e-4c28-bfa2-e04e0d2a58bd · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Adam: A Method for Stochastic Optimization

Reference 28

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Observation 7256ea6d-0897-4078-a360-1a693a8a1913 · outbound

This paper cites Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models

Reference 29

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Observation edbb9db4-cad3-4413-ad80-ab692e553d16 · outbound

This paper cites OpenImages: A public dataset for large-scale multi-label and multi-class image classiﬁcation.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings OpenImages: A public dataset for large-scale multi-label and multi-class image classiﬁcation

Reference 30

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This paper cites Visual genome: Connecting language and vision using crowdsourced dense image annotations.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Visual genome: Connecting language and vision using crowdsourced dense image annotations

Reference 31

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This paper cites From word embeddings to document distances.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings From word embeddings to document distances

Reference 32

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This paper cites The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale

Reference 33

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This paper cites Unsupervised machine translation using monolingual corpora only.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Unsupervised machine translation using monolingual corpora only

Reference 34

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This paper cites Phrase-based & neural unsupervised machine translation.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Phrase-based & neural unsupervised machine translation

Reference 35

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This paper cites Generating Diverse and Accurate Visual Captions by Comparative Adversarial Learning.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Generating Diverse and Accurate Visual Captions by Comparative Adversarial Learning

Reference 36

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This paper cites Rouge: A package for automatic evaluation of summaries.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Rouge: A package for automatic evaluation of summaries

Reference 37

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This paper cites Microsoft COCO: Common objects in context.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Microsoft COCO: Common objects in context

Reference 38

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This paper cites Teaching machines to describe images via natural language feedback.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Teaching machines to describe images via natural language feedback

Reference 39

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This paper cites Improved image captioning via policy gra- dient optimization of spider.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Improved image captioning via policy gra- dient optimization of spider

Reference 40

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This paper cites Knowing when to look: Adaptive attention via a visual sen- tinel for image captioning.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Knowing when to look: Adaptive attention via a visual sen- tinel for image captioning

Reference 41

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This paper cites Neural baby talk.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Neural baby talk

Reference 42

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This paper cites Visualizing data using t-SNE.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Visualizing data using t-SNE

Reference 43

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This paper cites The stan- ford CoreNLP natural language processing toolkit.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings The stan- ford CoreNLP natural language processing toolkit

Reference 44

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This paper cites Learning like a child: Fast novel visual concept learning from sentence descriptions of images.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Learning like a child: Fast novel visual concept learning from sentence descriptions of images

Reference 45

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This paper cites Sem- Style: Learning to generate stylised image captions using unaligned text.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Sem- Style: Learning to generate stylised image captions using unaligned text

Reference 46

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This paper cites Jointly modeling embedding and translation to bridge video and language.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Jointly modeling embedding and translation to bridge video and language

Reference 47

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This paper cites GloVe: Global vectors for word representation.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings GloVe: Global vectors for word representation

Reference 48

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Observation 9d83399a-4384-45d3-8d09-8f5d91b25f1f · outbound

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

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Flickr30k entities: Collecting region-to-phrase corre- spondences for richer image-to-sentence models

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:21:49.825483Z

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This paper cites Self-critical sequence training for image captioning.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Self-critical sequence training for image captioning

Reference 50

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This paper cites ImageNet large scale visual recognition challenge.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings ImageNet large scale visual recognition challenge

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:21:49.796526Z

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Observation 0fd873de-d811-4278-bf7c-5eb2202282fb · outbound

This paper cites Conceptual captions: A cleaned, hypernymed, im- age alt-text dataset for automatic image captioning.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Conceptual captions: A cleaned, hypernymed, im- age alt-text dataset for automatic image captioning

Reference 52

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Observation 8d405e70-3988-446d-8598-da7516652da1 · outbound

This paper cites Speaking the same language: Matching machine to human captions by adversarial train- ing.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Speaking the same language: Matching machine to human captions by adversarial train- ing

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:21:49.764925Z

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Observation 21de770f-2a64-44db-be90-6b321b68c7ea · outbound

This paper cites Deforming autoencoders: Unsupervised disentangling of shape and ap- pearance.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Deforming autoencoders: Unsupervised disentangling of shape and ap- pearance

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:21:49.750435Z

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Observation 24d7acb7-651e-404a-b054-6fb0e294b2af · outbound

This paper cites Engaging image captioning via per- sonality.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Engaging image captioning via per- sonality

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:21:49.736319Z

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Observation eb488959-56e3-4534-83f7-3e5b4a2a5dcc · outbound

This paper cites Towards text generation with adversarially learned neural outlines.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Towards text generation with adversarially learned neural outlines

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:21:49.722240Z

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Observation 3b62f948-9c4f-425c-87a7-e44dc90b407d · outbound

This paper cites Sequence to sequence learning with neural networks.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Sequence to sequence learning with neural networks

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:21:49.707847Z

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Observation 2ca248f7-0463-4f3b-be81-6aca77e5b0f4 · outbound

This paper cites Cider: Consensus-based image description evalua- tion.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Cider: Consensus-based image description evalua- tion

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-14T11:21:49.307627Z

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Observation 1e69ab5a-de3b-4ad6-abcc-de758b06f2a1 · outbound

This paper cites Captioning images with diverse objects.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Captioning images with diverse objects

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:21:49.684154Z

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Observation add7915b-047b-4bb5-9fb3-b86bc1d53de2 · outbound

This paper cites Show and tell: A neural image caption gen- erator.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Show and tell: A neural image caption gen- erator

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:21:49.669643Z

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Observation aba98efa-5dc5-4e67-ac51-3ba198649935 · outbound

This paper cites Diverse and accurate image description using a variational auto-encoder with an additive gaussian encoding space.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Diverse and accurate image description using a variational auto-encoder with an additive gaussian encoding space

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:21:49.655861Z

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Observation f563f42d-6c22-4729-a433-657eb34d8d69 · outbound

This paper cites Automatic alt-text: Computer-generated image de- scriptions for blind users on a social network service.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Automatic alt-text: Computer-generated image de- scriptions for blind users on a social network service

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:21:49.641250Z

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Observation ae702d51-7242-4aeb-a8c3-04d1e674e811 · outbound

This paper cites Show, attend and tell: Neural image caption gen- eration with visual attention.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Show, attend and tell: Neural image caption gen- eration with visual attention

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:21:49.626520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3672b3b3-97c3-459d-8afe-c45b03a8cb18 · outbound

This paper cites Review networks for caption gen- eration.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Review networks for caption gen- eration

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:21:49.612477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0f0f9291-e594-40ce-a1ad-0e53b8936924 · outbound

This paper cites Incorpo- rating copying mechanism in image captioning for learn- ing novel objects.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Incorpo- rating copying mechanism in image captioning for learn- ing novel objects

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:21:49.597659Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d2256260-1f4b-4f0b-ac04-a156ac8daaca · outbound

This paper cites Explor- ing visual relationship for image captioning.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Explor- ing visual relationship for image captioning

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:21:49.580762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fcb4a1cd-f968-4957-9b8c-652f58199050 · outbound

This paper cites Boosting image captioning with attributes.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Boosting image captioning with attributes

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:21:49.565477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0aee144c-dc01-4e1f-a6ad-c9d1b1f0af0d · outbound

This paper cites Image captioning with semantic attention.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Image captioning with semantic attention

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:21:49.550752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 168df444-f91c-4e67-b062-2d06e4af929c · outbound

This paper cites Dual learning for cross-domain image captioning.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Dual learning for cross-domain image captioning

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:21:49.536687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 51603e1c-a047-49ea-af49-27d042c7c6c5 · outbound

This paper cites Unpaired image-to-image translation using cycle- consistent adversarial networks.

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings Unpaired image-to-image translation using cycle- consistent adversarial networks

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:21:49.522176Z

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