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Paper Citation Record · LEDGER

Adversarial Representation Learning for Text-to-Image Matching

As of 18 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 0 inbound Pith citation observations for arXiv:1908.10534.

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

pith.paper-citation-record.v1
1908.10534 v1

Coverage vector

measured 75 of 75 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:47:25.822224Z

measured 75 of 75 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

75 of 75 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5e213093-dd5b-48d6-ad22-07cc48489788 · outbound

This paper cites Evaluation of output embeddings for fine- grained image classification.

Adversarial Representation Learning for Text-to-Image Matching Evaluation of output embeddings for fine- grained image classification

Reference 1

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Observation 1bda83a9-f9f5-4b06-96c5-dcc7294e0fd4 · outbound

This paper cites VQA: Visual question answering.

Adversarial Representation Learning for Text-to-Image Matching VQA: Visual question answering

Reference 2

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Observation 89c62fc9-0040-46b3-8181-74800d201adb · outbound

This paper cites Curriculum learning.

Adversarial Representation Learning for Text-to-Image Matching Curriculum learning

Reference 3

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Observation 7cfe122e-5f73-4164-b2ab-95538506e28f · outbound

This paper cites Deep visual-semantic hashing for cross-modal retrieval.

Adversarial Representation Learning for Text-to-Image Matching Deep visual-semantic hashing for cross-modal retrieval

Reference 4

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Observation d1bd34cb-a02f-43c3-84e3-1b4422a18e1c · outbound

This paper cites Partial adversarial domain adaptation.

Adversarial Representation Learning for Text-to-Image Matching Partial adversarial domain adaptation

Reference 5

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Observation c2ec46fd-0dbf-4ac9-87ab-7d60e83b2c88 · outbound

This paper cites Improving deep visual representation for person re-identification by global and local image-language association.

Adversarial Representation Learning for Text-to-Image Matching Improving deep visual representation for person re-identification by global and local image-language association

Reference 6

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Observation dde8ecd2-c407-43c4-9286-77252a524baa · outbound

This paper cites Improving text-based person search by spatial matching and adaptive threshold.

Adversarial Representation Learning for Text-to-Image Matching Improving text-based person search by spatial matching and adaptive threshold

Reference 7

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Observation 603626df-34b6-48b2-915a-8a4a613d8db1 · outbound

This paper cites Beyond triplet loss: A deep quadruplet network for person re-identification.

Adversarial Representation Learning for Text-to-Image Matching Beyond triplet loss: A deep quadruplet network for person re-identification

Reference 8

Resolution
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Observation 4181f257-6ea1-4347-a91f-8bb9cb8d13b9 · outbound

This paper cites How to train a GAN? Tips and tricks to make GANs work.

Adversarial Representation Learning for Text-to-Image Matching How to train a GAN? Tips and tricks to make GANs work

Reference 9

Resolution
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Observation 6d2cedf7-30dd-498f-9d52-3fd136bbf485 · outbound

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

Adversarial Representation Learning for Text-to-Image Matching BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 10

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Observation 42ac48ff-9e65-4233-9fc0-9136c2feca9a · outbound

This paper cites Class rectifi- cation hard mining for imbalanced deep learning.

Adversarial Representation Learning for Text-to-Image Matching Class rectifi- cation hard mining for imbalanced deep learning

Reference 11

Resolution
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Observation 328afce4-67be-465b-9f2c-b90dd14e4ea6 · outbound

This paper cites VSE++: Improved visual-semantic embeddings.

Adversarial Representation Learning for Text-to-Image Matching VSE++: Improved visual-semantic embeddings

Reference 12

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Observation 7a14bbec-c011-4774-b6ed-81cf4f02a603 · outbound

This paper cites Unsupervised domain adaptation by backpropagation.

Adversarial Representation Learning for Text-to-Image Matching Unsupervised domain adaptation by backpropagation

Reference 13

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Observation 060b2c0c-ec83-4768-941b-d4510805e222 · outbound

This paper cites Generative adversarial nets.

Adversarial Representation Learning for Text-to-Image Matching Generative adversarial nets

Reference 14

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Observation c47dc8d4-e915-45d7-aeb6-7e1fd8f98eeb · outbound

This paper cites Look, imagine and match: Improving textual-visual cross-modal retrieval with generative models.

Adversarial Representation Learning for Text-to-Image Matching Look, imagine and match: Improving textual-visual cross-modal retrieval with generative models

Reference 15

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 4efd3688-9730-4040-a0f5-669d3f3d801f · outbound

This paper cites Unsupervised cross-modal retrieval through adversarial learning.

Adversarial Representation Learning for Text-to-Image Matching Unsupervised cross-modal retrieval through adversarial learning

Reference 16

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Source-reported events for the cited work

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Observation 5b9be873-ee6f-49ac-9b3f-c7838e179dbf · outbound

This paper cites Long short-term memory.

Adversarial Representation Learning for Text-to-Image Matching Long short-term memory

Reference 17

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Observation 0d28018c-f5ad-40de-ac77-28cb8c0ccdef · outbound

This paper cites Learning deep representation for imbalanced classifi- cation.

Adversarial Representation Learning for Text-to-Image Matching Learning deep representation for imbalanced classifi- cation

Reference 18

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Observation 2cbf248d-4a87-4b41-b5b2-d0304ba56430 · outbound

This paper cites Bi-directional spatial-semantic attention networks for image-text matching.

Adversarial Representation Learning for Text-to-Image Matching Bi-directional spatial-semantic attention networks for image-text matching

Reference 19

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Observation efe864af-0ab9-422c-94a8-76038bdaa2e4 · outbound

This paper cites Instance-aware im- age and sentence matching with selective multimodal LSTM.

Adversarial Representation Learning for Text-to-Image Matching Instance-aware im- age and sentence matching with selective multimodal LSTM

Reference 20

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Observation 1580d3b3-974e-46b1-9220-3d889e44d014 · outbound

This paper cites Learning semantic concepts and order for image and sen- tence matching.

Adversarial Representation Learning for Text-to-Image Matching Learning semantic concepts and order for image and sen- tence matching

Reference 21

Resolution
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Observation eb51cf19-f456-44ef-9c02-c9e6ab0cbfb6 · outbound

This paper cites Pose-Guided Multi-Granularity Attention Network for Text-Based Person Search.

Adversarial Representation Learning for Text-to-Image Matching Pose-Guided Multi-Granularity Attention Network for Text-Based Person Search

Reference 22

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Observation 00b0eb93-f9cf-4966-8a4e-24092bdfd008 · outbound

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

Adversarial Representation Learning for Text-to-Image Matching Deep visual-semantic align- ments for generating image descriptions

Reference 23

Resolution
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Source-reported events for the cited work

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Observation 83346346-8060-4778-8a7c-cc408e82f637 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Adversarial Representation Learning for Text-to-Image Matching Adam: A Method for Stochastic Optimization

Reference 24

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Source-reported events for the cited work

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Observation e5b5f5d7-04e1-4d4b-85b7-1561adc9b8a8 · outbound

This paper cites Asso- ciating neural word embeddings with deep image represen- tations using fisher vectors.

Adversarial Representation Learning for Text-to-Image Matching Asso- ciating neural word embeddings with deep image represen- tations using fisher vectors

Reference 25

Resolution
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Source-reported events for the cited work

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Observation e1c57e7c-d209-435f-8a6a-2fb3dd2de2f5 · outbound

This paper cites Self-supervised adversarial hashing networks for cross-modal retrieval.

Adversarial Representation Learning for Text-to-Image Matching Self-supervised adversarial hashing networks for cross-modal retrieval

Reference 26

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Source-reported events for the cited work

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Observation 29637dfb-486a-4336-a83f-5e3fa5d3f24c · outbound

This paper cites Identity-aware textual-visual matching with la- tent co-attention.

Adversarial Representation Learning for Text-to-Image Matching Identity-aware textual-visual matching with la- tent co-attention

Reference 27

Resolution
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Observation c553a3ab-d922-4d93-9edc-ca2553cdcc14 · outbound

This paper cites Person search with natural lan- guage description.

Adversarial Representation Learning for Text-to-Image Matching Person search with natural lan- guage description

Reference 28

Resolution
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Observation 10a7048c-5d67-4708-add4-a6dec3fa807f · outbound

This paper cites Microsoft coco: Common objects in context.

Adversarial Representation Learning for Text-to-Image Matching Microsoft coco: Common objects in context

Reference 29

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Source-reported events for the cited work

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Observation 459de293-01f7-4f46-993a-75e8fa349c48 · outbound

This paper cites Leveraging visual question an- swering for image-caption ranking.

Adversarial Representation Learning for Text-to-Image Matching Leveraging visual question an- swering for image-caption ranking

Reference 30

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c864911f-2a71-4963-b59b-ce1748c3a9db · outbound

This paper cites A neighbor-aware approach for image-text matching.

Adversarial Representation Learning for Text-to-Image Matching A neighbor-aware approach for image-text matching

Reference 31

Resolution
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Source-reported events for the cited work

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Observation e0cd1e31-6c7a-4c96-b8b4-3805eb72ec83 · outbound

This paper cites Sphereface: Deep hypersphere embed- ding for face recognition.

Adversarial Representation Learning for Text-to-Image Matching Sphereface: Deep hypersphere embed- ding for face recognition

Reference 32

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 2eb77bc6-0eb1-4d5a-9947-10f86e1e2708 · outbound

This paper cites Learning a recurrent residual fusion network for multimodal matching.

Adversarial Representation Learning for Text-to-Image Matching Learning a recurrent residual fusion network for multimodal matching

Reference 33

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation a4377aaf-a9c4-41f2-92b7-c55d5bb9dade · outbound

This paper cites Mul- timodal convolutional neural networks for matching image and sentence.

Adversarial Representation Learning for Text-to-Image Matching Mul- timodal convolutional neural networks for matching image and sentence

Reference 34

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5ab8a181-3792-40e4-a373-c157979c1804 · outbound

This paper cites Deep captioning with multimodal recurrent neural networks (m-RNN).

Adversarial Representation Learning for Text-to-Image Matching Deep captioning with multimodal recurrent neural networks (m-RNN)

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:47:26.615758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 34194aee-ca0e-4c75-8b2e-03165de37240 · outbound

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

Adversarial Representation Learning for Text-to-Image Matching Distributed representations of words and phrases and their compositionality

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:47:26.600295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:47:25.627703Z digest=sha256:3d9d89bbf68803cbb98f6360f0b287d425ac1132bfcd67493b8c2cae36b70a65

Observation b882893b-e753-4e5e-8620-1fa7253a9b86 · outbound

This paper cites Learnable PINs: Cross-modal embeddings for person iden- tity.

Adversarial Representation Learning for Text-to-Image Matching Learnable PINs: Cross-modal embeddings for person iden- tity

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:47:26.584240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e3ec94cc-eeba-42cd-8b9d-b0a02185df62 · outbound

This paper cites Dual attention networks for multimodal reasoning and matching.

Adversarial Representation Learning for Text-to-Image Matching Dual attention networks for multimodal reasoning and matching

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:47:26.566843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 714f20cc-b054-4402-9cad-160a5cf14321 · outbound

This paper cites Cm-gans: cross-modal genera- tive adversarial networks for common representation learn- ing.

Adversarial Representation Learning for Text-to-Image Matching Cm-gans: cross-modal genera- tive adversarial networks for common representation learn- ing

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:47:26.550984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 90659941-0879-4284-8990-7da62ebcb5d3 · outbound

This paper cites Deep contextualized word representations.

Adversarial Representation Learning for Text-to-Image Matching Deep contextualized word representations

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:47:26.534529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 8f757e16-94c4-42fb-ab70-0e31b9900125 · outbound

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

Adversarial Representation Learning for Text-to-Image Matching Flickr30k entities: Collecting region-to-phrase corre- spondences for richer image-to-sentence models

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:47:26.518111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:47:25.652388Z digest=sha256:f261bac86c5e03aa234525e82a1c88861250a7c3c83507df07d7715a510358b9

Observation 98b4b943-00de-4588-a475-6f9aff56e535 · outbound

This paper cites MirrorGAN: Learning text-to-image generation by re- description.

Adversarial Representation Learning for Text-to-Image Matching MirrorGAN: Learning text-to-image generation by re- description

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:47:26.501737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5e252971-fba3-43b8-a2f8-a680906a5410 · outbound

This paper cites Improving language understanding with unsuper- vised learning.

Adversarial Representation Learning for Text-to-Image Matching Improving language understanding with unsuper- vised learning

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-14T10:47:25.663249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:47:25.663249Z digest=sha256:cb04801a4eb85d688d639f96c575af2b41a4a13128aeb2d7874dd73c771622d7

Observation 02a71180-cdff-4ebd-ad46-67ba96e5e2d8 · outbound

This paper cites Learning deep representations of fine-grained visual descrip- tions.

Adversarial Representation Learning for Text-to-Image Matching Learning deep representations of fine-grained visual descrip- tions

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:47:26.475119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:47:25.668076Z digest=sha256:5de1a3ae1d4e741b1d218db006ce469925419ba0ef1b59b3f40f82a3506f8e9c

Observation 17259303-cc29-4588-9a76-f34961909d7b · outbound

This paper cites Cur- riculum learning for multi-task classification of visual attributes.

Adversarial Representation Learning for Text-to-Image Matching Cur- riculum learning for multi-task classification of visual attributes

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:47:26.459714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:47:25.673146Z digest=sha256:11d452c0e4510a4bce763031d32a2582e7a3099b35de645fc1077856b686522f

Observation 7c0a53a3-3580-4133-a332-8a28dc14209d · outbound

This paper cites Cur- riculum learning of visual attribute clusters for multi-task classification.

Adversarial Representation Learning for Text-to-Image Matching Cur- riculum learning of visual attribute clusters for multi-task classification

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:47:26.443914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:47:25.677885Z digest=sha256:871c219ce75b1e3b643399b2341a554132a80742b40035b612196b30dd76d5de

Observation 901523ab-e731-4a88-b99c-6f83d6941101 · outbound

This paper cites Deep imbalanced attribute classification using visual atten- tion aggregation.

Adversarial Representation Learning for Text-to-Image Matching Deep imbalanced attribute classification using visual atten- tion aggregation

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:47:26.428099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 6031bba0-2f59-4950-9d6a-f897a8957095 · outbound

This paper cites Facenet: A unified embedding for face recognition and clus- tering.

Adversarial Representation Learning for Text-to-Image Matching Facenet: A unified embedding for face recognition and clus- tering

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:47:26.412490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:47:25.687743Z digest=sha256:5c00aed06dc6a2f175ad40ce2e5667de4bbee606320e983d528e196f63559090

Observation 3755febd-d215-4f72-838d-4c8e037c0409 · outbound

This paper cites Video google: A text retrieval approach to object matching in videos.

Adversarial Representation Learning for Text-to-Image Matching Video google: A text retrieval approach to object matching in videos

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:47:26.396796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:47:25.692329Z digest=sha256:abb7f228437cee04f2d65a138426d4b67369a21658949010908b05171786e540

Observation 3e6b5a59-57f4-4baa-ba3c-040e7823244a · outbound

This paper cites Improved deep metric learning with multi- class n-pair loss objective.

Adversarial Representation Learning for Text-to-Image Matching Improved deep metric learning with multi- class n-pair loss objective

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:47:26.381087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 87f8e74b-c3b7-4c72-9168-ea20f362eeb7 · outbound

This paper cites Polysemous visual- semantic embedding for cross-modal retrieval.

Adversarial Representation Learning for Text-to-Image Matching Polysemous visual- semantic embedding for cross-modal retrieval

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:47:26.364325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:47:25.701765Z digest=sha256:af727cd97dbb32146e719dd0cfbeaa518d0370aa2c443ae2f14a4d8192418875

Observation 393f018c-b7fe-48f7-9b97-29f3696bcbd8 · outbound

This paper cites Boosting Standard Classification Architectures Through a Ranking Regularizer.

Adversarial Representation Learning for Text-to-Image Matching Boosting Standard Classification Architectures Through a Ranking Regularizer

Reference 52

Resolution
metadata mismatch
local_arxiv, observed 2026-08-14T10:47:25.941177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e771b105-e84d-49cc-ba5f-3928ee4e69c0 · outbound

This paper cites Simultaneous deep transfer across domains and tasks.

Adversarial Representation Learning for Text-to-Image Matching Simultaneous deep transfer across domains and tasks

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:47:26.348676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 8d5940ef-a144-4723-94f1-74b69dcb07f4 · outbound

This paper cites Learning deep embeddings with histogram loss.

Adversarial Representation Learning for Text-to-Image Matching Learning deep embeddings with histogram loss

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:47:26.333228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:47:25.717862Z digest=sha256:5ae9a0c0bb8899595de430ebea18408373a3e5aa992d7b2291cf2161f228bba9

Observation 77d07bf8-b3fb-41fb-a216-c567fa20d595 · outbound

This paper cites Attention is all you need.

Adversarial Representation Learning for Text-to-Image Matching Attention is all you need

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:47:26.316580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d83f70f2-f718-4cb6-a0d4-aefe27da0af1 · outbound

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

Adversarial Representation Learning for Text-to-Image Matching Show and tell: A neural image caption gen- erator

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:47:26.300862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:47:25.727354Z digest=sha256:3838ade1e5f4f46c551575d0f3741826f3104cd6cd730509cac7bd969b22c9e6

Observation 29230eef-74ff-4be1-b209-e7e2d91fa404 · outbound

This paper cites Adversarial cross-modal retrieval.

Adversarial Representation Learning for Text-to-Image Matching Adversarial cross-modal retrieval

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:47:26.284393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5e4da735-8a23-4e37-9d94-f092c7a9484b · outbound

This paper cites Normface: l 2 hypersphere embedding for face verifi- cation.

Adversarial Representation Learning for Text-to-Image Matching Normface: l 2 hypersphere embedding for face verifi- cation

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:47:26.268290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:47:25.738438Z digest=sha256:5fa7be9bcce667c4c66fe7ac4d11a869d8d34939741de564537eb0074e4ff4b6

Observation 05cb247a-0b19-4a07-8437-7d336161e702 · outbound

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

Adversarial Representation Learning for Text-to-Image Matching Learning deep structure-preserving image-text embeddings

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:47:26.252269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:47:25.743114Z digest=sha256:0370a2cd07f7da7bd3c441ffb5d84f51e8c47be0fa519952f6fa1f749da2c60e

Observation 1fa46f48-b9e1-4949-8101-596e7c01f177 · outbound

This paper cites Joint global and co-attentive represen- tation learning for image-sentence retrieval.

Adversarial Representation Learning for Text-to-Image Matching Joint global and co-attentive represen- tation learning for image-sentence retrieval

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:47:26.234538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:47:25.747915Z digest=sha256:d6ed2eed589df957f11557b3b25624efbdd3f34c6bed60d3cbb95b006dc7a12d

Observation fe1016af-796b-4226-9b78-68512094e660 · outbound

This paper cites Multilevel language and vision integration for text-to-clip re- trieval.

Adversarial Representation Learning for Text-to-Image Matching Multilevel language and vision integration for text-to-clip re- trieval

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:47:26.218505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 205ed384-1f99-4a09-aeb8-4093a68e3a60 · outbound

This paper cites Attngan: Fine- grained text to image generation with attentional generative adversarial networks.

Adversarial Representation Learning for Text-to-Image Matching Attngan: Fine- grained text to image generation with attentional generative adversarial networks

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:47:26.201198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 4ba08573-8fa5-407f-87eb-9023825e7bf5 · outbound

This paper cites Deep adversarial metric learning for cross-modal retrieval.

Adversarial Representation Learning for Text-to-Image Matching Deep adversarial metric learning for cross-modal retrieval

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:47:26.184341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:47:25.762447Z digest=sha256:95c7cd1ba26c026686d85382b369b82ace641a2959d6a8c36283ec441f4af7a0

Observation 23ce2771-e729-4728-98fd-23e5315dbeac · outbound

This paper cites Evaluation of a 3D-aided pose invariant 2D face recognition system.

Adversarial Representation Learning for Text-to-Image Matching Evaluation of a 3D-aided pose invariant 2D face recognition system

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:47:26.167723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:47:25.767176Z digest=sha256:4eefb141f0d6b42417eabe72fc8dbd3eade6edf89f0aed63cbbb8c2f15286c2b

Observation 5419cee9-009a-47aa-ba4a-bb9b8cafc7be · outbound

This paper cites d-SNE: Domain adap- tation using stochastic neighborhood embedding.

Adversarial Representation Learning for Text-to-Image Matching d-SNE: Domain adap- tation using stochastic neighborhood embedding

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:47:26.151402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c4678ad7-137d-474d-acbe-fef47ae86a5f · outbound

This paper cites Deep correlation for matching images and text.

Adversarial Representation Learning for Text-to-Image Matching Deep correlation for matching images and text

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:47:26.135034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:47:25.777113Z digest=sha256:ede33864c8ff41b55a49762a33bb141c98a19fee081d0aa347333190f73c085f

Observation 967b307f-8b1c-493f-a9aa-513ef45ba84f · outbound

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

Adversarial Representation Learning for Text-to-Image Matching From image descriptions to visual denotations: New similarity metrics for semantic inference over event descrip- tions

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-14T10:47:25.782027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:47:25.782027Z digest=sha256:a04717cb0c330f381a577bc3d38301879dcbdf84f498150f454a81c326390dc3

Observation ccafdcd6-8a0c-41b9-947b-55f0e264a5cf · outbound

This paper cites Cross-modal and hierarchical modeling of video and text.

Adversarial Representation Learning for Text-to-Image Matching Cross-modal and hierarchical modeling of video and text

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:47:26.107039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:47:25.786753Z digest=sha256:bbb815e2b694dc07aa4b29256c1e0cc6521521a7d04b40bf6047f643276cf8a6

Observation c72ec8c4-f433-4edf-ab3f-0cfd0cf0917c · outbound

This paper cites MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment.

Adversarial Representation Learning for Text-to-Image Matching MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-14T10:47:25.791817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:47:25.791817Z digest=sha256:03408f5e9b762fbb004dba79e6fc4f03e34a718871e2cc94cc934ccbc7592c62

Observation 153d570f-6054-4473-b1fe-cf5287c634ea · outbound

This paper cites Stack- gan: Text to photo-realistic image synthesis with stacked generative adversarial networks.

Adversarial Representation Learning for Text-to-Image Matching Stack- gan: Text to photo-realistic image synthesis with stacked generative adversarial networks

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:47:26.087947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:47:25.796846Z digest=sha256:fb3c72d60afd922e1f051184f2208104707b349356981a908b9a3fa91b067cfe

Observation 728443bb-f9bf-4a5b-9942-a4e9c822a7cd · outbound

This paper cites Deep cross-modal projection learning for image-text matching.

Adversarial Representation Learning for Text-to-Image Matching Deep cross-modal projection learning for image-text matching

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:47:26.070212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:47:25.801464Z digest=sha256:9ccb17a28ba809dc72ffd329fdcdd39997bb5dbc1a237a995d6d5540aa17a069

Observation 6b28dac3-76b1-4bfb-8d07-437843ed5c37 · outbound

This paper cites Dual-Path Convolutional Image-Text Embeddings with Instance Loss.

Adversarial Representation Learning for Text-to-Image Matching Dual-Path Convolutional Image-Text Embeddings with Instance Loss

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-14T10:47:25.810913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:47:25.810913Z digest=sha256:2f07ee29c1b1c2ff50b17515806b544cff322b0ebf1bdaab3569311e40a6dbd3

Observation 693a215d-86c1-49b6-92b3-a46ac9131ed1 · outbound

This paper cites Simple Baseline for Visual Question Answering.

Adversarial Representation Learning for Text-to-Image Matching Simple Baseline for Visual Question Answering

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-14T10:47:25.816926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:47:25.816926Z digest=sha256:4f479746ca41b59dd3588af3359b233e19e07c1b3a2834424ea8280b43dda515

Observation de35d3e4-1003-4567-9bd5-218d88ef8460 · outbound

This paper cites R2GAN: Cross-modal recipe retrieval with generative adver- sarial network.

Adversarial Representation Learning for Text-to-Image Matching R2GAN: Cross-modal recipe retrieval with generative adver- sarial network

Reference 74

Resolution
malformed identifier
raw_fallback, observed 2026-08-14T10:47:26.025297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:47:25.822224Z digest=sha256:f8a6d1b99c2fd5a919a9c1977fd164ee005c131adf86c12d1e864062ebd34eec

Observation 96237542-414a-4caa-85e8-95744dbc61cc · outbound

This paper cites an unresolved cited work.

Adversarial Representation Learning for Text-to-Image Matching Unresolved cited work

Reference 2018

Resolution
unresolved
raw_fallback, observed 2026-08-14T10:47:26.046191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:47:25.806242Z digest=sha256:02b61102f416f2a3037cdd233efcba0b16e7931c75600a0733b6e2ad7be19142

Pith citing papers

No inbound Pith citation observations are available.