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Paper Citation Record · LEDGER

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval

As of 9 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 4 inbound Pith citation observations for arXiv:2505.17796.

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

pith.paper-citation-record.v1
2505.17796 v1

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:44:00.325185Z

measured 69 of 69 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-02T15:11:57.228949Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T15:17:07.293578Z

Reference resolution

65 of 65 outbound references displayed

  • verified exact2
  • verified fuzzy43
  • unresolved18
  • parse uncertain1
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c3f745a7-6620-4930-a497-26cd3de8e8cb · outbound

This paper cites Composing text and image for image retrieval-an empirical odyssey.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Composing text and image for image retrieval-an empirical odyssey

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:43:53.147868Z digest=sha256:17b1ed7e80932d0423129ae709afc2cafc054b2060c65bf5ceb7a3f2df3923fc

Observation 050ff53f-ca7e-4e67-8a9c-6e18af744329 · outbound

This paper cites Image retrieval on real-life images with pre-trained vision-and-language models.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Image retrieval on real-life images with pre-trained vision-and-language models

Reference 2

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no resolver link, observed 2026-08-07T14:43:53.269842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:43:53.269842Z digest=sha256:959d45c02937e4929af21a203d2676f7f55a5ccf9b083a9640d15a0ac0b9ae8e

Observation 09ffaa7a-d00b-4ccb-9332-09ad7fb1d5ae · outbound

This paper cites Deep image retrieval: Learning global representations for image search.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Deep image retrieval: Learning global representations for image search

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-07T14:44:11.378843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:53.412796Z digest=sha256:dd04bbe8e1a2c76899a6b4a8f6217314eba9516586c9e877e456e32e184204ac

Observation 9a064fdf-4ce3-4d1f-92eb-5bcfa52d337e · outbound

This paper cites Large-scale image retrieval with attentive deep local features.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Large-scale image retrieval with attentive deep local features

Reference 4

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raw_fallback, observed 2026-08-07T14:44:11.156029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:53.497335Z digest=sha256:0801dc1988ee4fda48ec7f8fecfc509369db269b6bf67f8d653b1a8e34042272

Observation df64123b-daf0-4580-8900-7292ea28ee06 · outbound

This paper cites Camp: Cross- modal adaptive message passing for text-image retrieval.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Camp: Cross- modal adaptive message passing for text-image retrieval

Reference 5

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raw_fallback, observed 2026-08-07T14:44:10.902901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:53.615652Z digest=sha256:33a0093f0cc1ded6d0260ade9c67d1dc5e420564b86fc4ccedbb6c19366b561c

Observation b9a9b2aa-5d4d-4ded-89ce-fdac6a4ff7de · outbound

This paper cites Context-aware attention network for image-text retrieval.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Context-aware attention network for image-text retrieval

Reference 6

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raw_fallback, observed 2026-08-07T14:44:10.680723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:53.731224Z digest=sha256:43b5ac9cad9a9a68cfeb4267d90c660f61b70230320a65671446e46559048608

Observation e40c7bdc-7a53-4429-8f9c-121747b9f438 · outbound

This paper cites Image search with text feedback by visiolinguistic atten- tion learning.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Image search with text feedback by visiolinguistic atten- tion learning

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-07T14:44:10.485470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:53.829475Z digest=sha256:ba754e41496a843d706d00f9fcc4751d7fc9a8a6c51eb7aaa4ef7e990a5271fb

Observation eca6e02a-5b37-4837-a57e-122b1ee06f1c · outbound

This paper cites Learning transferable visual models from natural language supervision.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Learning transferable visual models from natural language supervision

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:43:53.907146Z digest=sha256:cbdadd577688069b25506a262cce203f74dacec1f77acc349c84d479f22db9ea

Observation 41253191-9e28-4fa7-8213-7b26ecefd9c9 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 9

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no resolver link, observed 2026-08-07T14:43:54.016817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:43:54.016817Z digest=sha256:d964ffb4afb00a5d0cce8a1b695e67fb6b97008c1883e07069eeb1b5e3362f45

Observation 5d48ad48-aacb-441a-b19b-c54f3fbf265c · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:43:54.068697Z digest=sha256:5d61b73676723156ee4db8e7cd1252fc7e508a61e86bfe3c8278fd963722e91b

Observation f5b3f5c2-4c71-4ebf-822e-43d7f07f96a0 · outbound

This paper cites Instructpix2pix: Learning to follow image editing instructions.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Instructpix2pix: Learning to follow image editing instructions

Reference 11

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no resolver link, observed 2026-08-07T14:43:54.122955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:43:54.122955Z digest=sha256:9fc1d6257a8dff1b89d9501367d98369d1e2c88b4fec008f01f910739beca205

Observation 63dc7c68-34fa-4156-afdc-b72d22a0e176 · outbound

This paper cites Artemis: Attention-based re- trieval with text-explicit matching and implicit similarity.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Artemis: Attention-based re- trieval with text-explicit matching and implicit similarity

Reference 12

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raw_fallback, observed 2026-08-07T14:44:10.292713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:54.185826Z digest=sha256:0814f539f57618461fe9cdcde8a4dd06a3163afc1e7eb721227c28459e2b6bdd

Observation dfbcde8f-8345-4f90-9279-b91d1d312b02 · outbound

This paper cites Compositional learning of image-text query for image retrieval.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Compositional learning of image-text query for image retrieval

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-07T14:44:10.107308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:54.278775Z digest=sha256:04f4f9cd7f1fb8f864044d8d050214cf9e499859e7f4ec52e2dc0f48ec4b85ef

Observation eec2f1eb-4ae4-4b12-a5cb-d5148253ba81 · outbound

This paper cites an unresolved cited work.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Unresolved cited work

Reference 14

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no resolver link, observed 2026-08-07T14:43:54.388946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:43:54.388946Z digest=sha256:ad4f43319d164b27867fe4d671c48d9ca2005fadd65e3daf005f6b38781666ce

Observation 30b41aeb-4385-42fe-8031-3d77e162324d · outbound

This paper cites Spirit: style-guided patch interaction for fashion im- age retrieval with text feedback.ACM Transactions on Multimedia Computing, Communications and Applications, 20(6):1–17, 2024.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Spirit: style-guided patch interaction for fashion im- age retrieval with text feedback.ACM Transactions on Multimedia Computing, Communications and Applications, 20(6):1–17, 2024

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-07T14:44:09.949637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:54.455210Z digest=sha256:42d0051259726ffa176b18516b0869fca1dc944dfe9dd501a097daa4d53538e8

Observation 7e91d982-7f84-42ca-b060-229d6096fe38 · outbound

This paper cites an unresolved cited work.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Unresolved cited work

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:54.589003Z digest=sha256:5391819612277020c555e4f70aef20d8212dd5e5f1d088a94e0e693946678944

Observation 9d37f5e2-7296-4096-9a8b-9fa45cc6c8c2 · outbound

This paper cites Data roaming and quality assessment for composed image retrieval.Proceedings of the AAAI Conference on Artificial Intelligence, 38(4):2991–2999, Mar.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Data roaming and quality assessment for composed image retrieval.Proceedings of the AAAI Conference on Artificial Intelligence, 38(4):2991–2999, Mar

Reference 17

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raw_fallback, observed 2026-08-07T14:44:09.584047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:54.700670Z digest=sha256:1f3705626b1eaf972a4a866df78ac8de2385b7669f72f9adde3b9ebb08a224e8

Observation bf4a2ef7-7d93-4c1d-8141-bed5f2f3f566 · outbound

This paper cites Candidate set re-ranking for composed image retrieval with dual multi-modal encoder.Transactions on Machine Learning Research, 2024.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Candidate set re-ranking for composed image retrieval with dual multi-modal encoder.Transactions on Machine Learning Research, 2024

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-07T14:44:09.416048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:54.766710Z digest=sha256:484079c90147154363f9862e956cdbddc24c9a41938c0595d082080a2eb7b540

Observation 6b45d603-4760-4bbb-86b8-4a9a214e2a85 · outbound

This paper cites Simple but effective raw-data level multimodal fusion for composed image retrieval.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Simple but effective raw-data level multimodal fusion for composed image retrieval

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:54.885737Z digest=sha256:797d63c5274a04bf7a3f21b3afd436d7b4077af4c81ad2f8b68ce6564034036d

Observation 0c5092be-8b19-487b-9bfd-f6b5064c6466 · outbound

This paper cites this is my unicorn, fluffy.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval this is my unicorn, fluffy

Reference 20

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raw_fallback, observed 2026-08-07T14:44:09.005365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:55.038721Z digest=sha256:2cf9c0d9d444a0a6f7ca6e0527038db2ade53b2a6eef953d0571aa792201dc09

Observation 4705c3f5-524a-4506-b776-e98cb064e6fc · outbound

This paper cites Effective conditioned and composed image retrieval combining clip-based features.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Effective conditioned and composed image retrieval combining clip-based features

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:43:55.237440Z digest=sha256:816a48232cd2734028af68d6127dab05e1fd3994d90cf4df8671d11359cda7d9

Observation 5bef2185-90b5-4f09-93f3-984e675cc7e1 · outbound

This paper cites Pic2word: Mapping pictures to words for zero-shot composed image retrieval.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Pic2word: Mapping pictures to words for zero-shot composed image retrieval

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-07T14:44:08.744475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:55.358238Z digest=sha256:2ef02581b5f0269a2f8e6c212e51dcf94725064b2c80093ea5fb070c19f6e3b6

Observation 8ff4bb9f-ec19-421b-a7fd-8d53d2280d3f · outbound

This paper cites Zero-shot composed image retrieval with textual inversion.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Zero-shot composed image retrieval with textual inversion

Reference 23

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raw_fallback, observed 2026-08-07T14:44:08.475036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:55.500840Z digest=sha256:a266b12d88abeab5b3b8ea1e8b38472091a133426a3f278fdfb1d6b40e537761

Observation c82aea50-fd75-42eb-a2da-79d6da7a2658 · outbound

This paper cites Sentence-level prompts benefit composed image retrieval.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Sentence-level prompts benefit composed image retrieval

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-07T14:44:08.311428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:55.635822Z digest=sha256:bcd44e55ed85b8f3ab580dcb8204e3d45ad5a27a079e9785730d496ad6e01de4

Observation 57ee9fc1-2ec6-4341-a272-be189cd3326a · outbound

This paper cites Covr: Learning composed video retrieval from web video captions.Proceedings of the AAAI Conference on Artificial Intelligence, 38(6):5270–5279, March 2024.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Covr: Learning composed video retrieval from web video captions.Proceedings of the AAAI Conference on Artificial Intelligence, 38(6):5270–5279, March 2024

Reference 25

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raw_fallback, observed 2026-08-07T14:44:08.114923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:55.794370Z digest=sha256:029da7f449be63627e1f2b87b8c1e0dada73dbfd6af0ada02e447a8a87970151

Observation 4f361353-6858-4db8-923d-26c109fb6067 · outbound

This paper cites MagicLens: Self-supervised image retrieval with open-ended instructions.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval MagicLens: Self-supervised image retrieval with open-ended instructions

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:44:07.784156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:55.934833Z digest=sha256:aa716e4a799493d968de8c5a6d5ae0b5de2e517b9ff1d92e6c209a7cc5799350

Observation 8bc47e73-4f3b-4b83-a68d-7b5af92096db · outbound

This paper cites Making the v in vqa matter: Elevating the role of image understanding in visual question answering.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Making the v in vqa matter: Elevating the role of image understanding in visual question answering

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-07T14:44:07.509690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:56.051137Z digest=sha256:e5c65dff1e34e8412be81ba5190a47368b4a90a8a8215c18a3bfc3bd8a3bd6b8

Observation 6d177c37-97d5-49ad-949a-6b3d9b04378e · outbound

This paper cites Frozen in time: A joint video and image encoder for end-to-end retrieval.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Frozen in time: A joint video and image encoder for end-to-end retrieval

Reference 28

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no resolver link, observed 2026-08-07T14:43:56.175702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:43:56.175702Z digest=sha256:9f5f9f7603444efeb6fb6b1b142bce6324b998b7671d951009b5d3b6ac38cc2f

Observation 83cf44a5-0591-4a16-a258-32d7a3260653 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval LLaMA: Open and Efficient Foundation Language Models

Reference 29

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no resolver link, observed 2026-08-07T14:43:56.316244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:43:56.316244Z digest=sha256:4be7ac77e23a9cb4c7af5f64e016855cbafe1c308b117249ec10533e955b23b3

Observation 630cfc92-f64d-4f65-9c26-bdfa921a6ed0 · outbound

This paper cites Language Models are Few-Shot Learners.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Language Models are Few-Shot Learners

Reference 30

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no resolver link, observed 2026-08-07T14:43:56.455799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:43:56.455799Z digest=sha256:ff6e7ad4e9e7e5ed7aec2f13c1f6a473472904e52cb979f861718ecd9bca247f

Observation e00ec1cb-cbf8-4422-93e4-c61ec0fef7dc · outbound

This paper cites Compodiff: Versatile composed image retrieval with latent diffusion.Transactions on Machine Learning Research,.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Compodiff: Versatile composed image retrieval with latent diffusion.Transactions on Machine Learning Research,

Reference 31

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no resolver link, observed 2026-08-07T14:43:56.577771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:43:56.577771Z digest=sha256:97fd509b297bc8eeff142e33fee4fe84c89ea4cac9073c156e684921ceec5f98

Observation 62ef6ebe-4e50-4030-9fe6-afae34d8bb0f · outbound

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

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval High-resolution image synthesis with latent diffusion models

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:44:07.190195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:56.904411Z digest=sha256:2a9e375c51769bb70fa4461ba596bfc5d46b8188084414f3a73a284c7ac5ae35

Observation 7518d2ea-7e47-4bc9-90ec-e6952ea00660 · outbound

This paper cites Fashion iq: A new dataset towards retrieving images by natural language feedback.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Fashion iq: A new dataset towards retrieving images by natural language feedback

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:44:06.920687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:57.050870Z digest=sha256:438dbad07fa8445a85ff50eec5b6608ffc76d2c176a86c8552f421608aec43b7

Observation b569a896-eb21-4114-8646-8d7661c07db1 · outbound

This paper cites A corpus for reasoning about natural language grounded in photographs.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval A corpus for reasoning about natural language grounded in photographs

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:44:06.634343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:57.273543Z digest=sha256:fa1e7b5af8ba960d4ee4dc69be2375a6b16b24b366261676c9eebe9e7a48e540

Observation 713d6b88-8a7f-4149-92f8-19308f895bff · outbound

This paper cites Eva: Exploring the limits of masked visual representation learning at scale.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Eva: Exploring the limits of masked visual representation learning at scale

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:44:06.339458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:57.397727Z digest=sha256:c27526365336806fbceed95721ab2581b2911a4b198b1dc257e2a8206c67d3df

Observation f1c98d48-8b23-4cb3-a918-c33d820ce731 · outbound

This paper cites Decoupled Weight Decay Regularization.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Decoupled Weight Decay Regularization

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T14:43:57.512568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:43:57.512568Z digest=sha256:0d539823084588cf4d5b178d36ca6c947c62ddf5277bf1c1539e8fd24c0aac74

Observation 0626241b-c2fe-4f60-b165-22bf43f4fc91 · outbound

This paper cites Improving composed image retrieval via contrastive learning with scaling positives and negatives.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Improving composed image retrieval via contrastive learning with scaling positives and negatives

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:44:06.005802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:57.612935Z digest=sha256:feef2477e3e92c5084d527f87a5f157a7e4a709b45841c409bd9c1c010f82ad2

Observation 73eff5d1-aa2a-49d8-a950-2a06c215fde0 · outbound

This paper cites Decomposing semantic shifts for composed image retrieval.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Decomposing semantic shifts for composed image retrieval

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:44:05.695708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:57.725883Z digest=sha256:a93322eefd67174e796e1717689303c37bdecce1de0cf769dd9e990e8005bc5f

Observation 9e201731-d041-4d34-9878-a5bd87a2fff5 · outbound

This paper cites Bi-directional training for composed image retrieval via text prompt learning.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Bi-directional training for composed image retrieval via text prompt learning

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:44:05.326598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:57.813362Z digest=sha256:32c5cb7cd346d05795b36c50edb72d60de42218b665b871cb2fb334b8ba738aa

Observation e204848b-a8ae-488c-b4b8-dbc49a6a05fe · outbound

This paper cites Cala: Com- plementary association learning for augmenting comoposed image retrieval.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Cala: Com- plementary association learning for augmenting comoposed image retrieval

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:44:05.111600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:57.875776Z digest=sha256:8b60dde4d6d8d76ddcf59bc4b7b38fc8b226f91c70fdfb22db6cfbf8fe84af2d

Observation 45f2fad1-e1a1-41a9-9e02-6e7652674d11 · outbound

This paper cites Target-guided composed image retrieval.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Target-guided composed image retrieval

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:44:04.904786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:58.013676Z digest=sha256:1b56154b39a3e3ea62020fa44dc1e67036ef364577e1bc5a0e086821d40656c9

Observation de3a0295-83de-460a-81ed-7e1e94bc366e · outbound

This paper cites Leveraging large vision-language model as user intent-aware encoder for composed image retrieval.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Leveraging large vision-language model as user intent-aware encoder for composed image retrieval

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:44:04.600295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:58.099612Z digest=sha256:32a5c9d0c3ccf17847d6b202fc0fb6834d42d341dba5af80a00763582aa98bec

Observation abb99c63-a3bb-4a32-872d-132a9da6a7fc · outbound

This paper cites Ccin: Compositional conflict identification and neutralization for composed image retrieval.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Ccin: Compositional conflict identification and neutralization for composed image retrieval

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:44:04.341700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:58.214233Z digest=sha256:00ea2a6d8b59786fb3111c730ac94ccc73cf07128988f41ddfa0492ecfc85120

Observation fa910af5-3346-45c4-a797-eebd6c4a1a32 · outbound

This paper cites Conditioned and composed image retrieval combining and partially fine-tuning clip-based features.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Conditioned and composed image retrieval combining and partially fine-tuning clip-based features

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:44:04.124887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:58.309122Z digest=sha256:9ca6dd66280bbad3d6d518b823946d1510a102b67f79a07a2d72fdca7453b6dd

Observation 09b9aa1c-3148-4543-ab08-26717d73374d · outbound

This paper cites Few-shot composition learning for image retrieval with prompt tuning.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Few-shot composition learning for image retrieval with prompt tuning

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:44:03.886221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:58.426884Z digest=sha256:a0f66285eceab18d842c70ab08c2f4d8e5b3cf6a2bfb84b14cf27a40032fa866

Observation 0fc97d0d-4410-4529-ad8c-65a6780661de · outbound

This paper cites Multi-modal transformer with global-local alignment for composed query image retrieval.IEEE Transactions on Multimedia, 25:8346–8357, 2023.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Multi-modal transformer with global-local alignment for composed query image retrieval.IEEE Transactions on Multimedia, 25:8346–8357, 2023

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:44:03.670750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:58.529594Z digest=sha256:32ade1a2f59de5640c8ae9fade00424922780546f500869876f16d230f26e56a

Observation 2bbcb864-4f2c-4c57-a354-4a7717ff6e83 · outbound

This paper cites Negative-sensitive framework with semantic enhancement for composed image retrieval.IEEE Transactions on Multimedia, 26:7608–7621, 2024.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Negative-sensitive framework with semantic enhancement for composed image retrieval.IEEE Transactions on Multimedia, 26:7608–7621, 2024

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:44:03.405453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:58.638400Z digest=sha256:e388864c32201229ee8329e0a29966fab8a0d340e17f8d05781fe3e17e574a66

Observation 47c2e41f-f78a-4195-a321-dfbdb6cae9e8 · outbound

This paper cites Collaborative group: Composed image retrieval via consensus learning from noisy annotations.Know.-Based Syst., 300(C), November 2024.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Collaborative group: Composed image retrieval via consensus learning from noisy annotations.Know.-Based Syst., 300(C), November 2024

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:44:03.202885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:58.712930Z digest=sha256:ee82d0fa4f77a15c899b842ad0691f4d689d9c8e1f1dedeb5aef9fbe087c529a

Observation c4d06de3-3b1b-4a24-bd20-993fff0a405b · outbound

This paper cites Pseudo-triplet Guided Few-shot Composed Image Retrieval.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Pseudo-triplet Guided Few-shot Composed Image Retrieval

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:44:00.833866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:58.819184Z digest=sha256:7e3b935821d8345064886ff1a3ec6d6bae43be386c8190298b54466f6a495352

Observation 26a671d1-1f42-42d1-94a7-b065f3b4e3d3 · outbound

This paper cites Vqa4cir: Boosting composed image retrieval with visual question answering.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Vqa4cir: Boosting composed image retrieval with visual question answering

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:44:02.980271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:58.924199Z digest=sha256:f0e9f917a5a29b5b45c139e4a67fb567f0d2ccd9926b50f9664f5419ab65eb61

Observation 772e0a21-3533-4e85-8e31-0d4eb9e10ad9 · outbound

This paper cites FineCIR: Explicit Parsing of Fine-Grained Modification Semantics for Composed Image Retrieval.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval FineCIR: Explicit Parsing of Fine-Grained Modification Semantics for Composed Image Retrieval

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T14:43:59.017726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:43:59.017726Z digest=sha256:74f4c7103aa7621938158d3bf9b42a32848d3cdd623e5e3c90103377cb789a6e

Observation 80a03846-8f31-4db0-a824-3356847631c0 · outbound

This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T14:43:59.111384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:43:59.111384Z digest=sha256:d475b0e56bb062f5dcc0f89b463951496f5615e43f9f73e40bcb0fd1a02aa459

Observation 67f32931-9266-4381-8bc8-431c18972396 · outbound

This paper cites Knowledge-enhanced dual-stream zero-shot composed image retrieval.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Knowledge-enhanced dual-stream zero-shot composed image retrieval

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:44:02.797198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:59.192994Z digest=sha256:0b16cea4f3b6fb84118b28a23ced74dfe91859fc82dce350ae69480e31c2c820

Observation 5ffbfd32-a300-4691-8c1a-9c45e22790da · outbound

This paper cites Ldre: Llm-based divergent reasoning and ensemble for zero-shot composed image retrieval.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Ldre: Llm-based divergent reasoning and ensemble for zero-shot composed image retrieval

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:44:02.506820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:59.280809Z digest=sha256:5f1b9f8703e22f3e867de095926bb59b6da11f0acf9e884c1cc6e40a3c136c31

Observation 8a56a2f1-b974-407a-ba18-6e51006b2f95 · outbound

This paper cites Semantic editing increment benefits zero-shot composed image retrieval.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Semantic editing increment benefits zero-shot composed image retrieval

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:44:02.240291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:59.371617Z digest=sha256:f69b8d63c54ee8f5d5569768802324cbd662435f7f6ee7e8f92aed64ccdb82e5

Observation 703b7aba-149f-44df-9c13-06255edc21b9 · outbound

This paper cites Vision-by-Language for Training-Free Compositional Image Retrieval.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Vision-by-Language for Training-Free Compositional Image Retrieval

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T14:43:59.484503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:43:59.484503Z digest=sha256:82e011bee8cd5313c8b3889fc3c3fc9b98cb25e9db6a24fe68191d039d615246

Observation 06229b1f-0c8f-4221-aedc-b2a67d74340a · outbound

This paper cites A Comprehensive Survey on Composed Image Retrieval.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval A Comprehensive Survey on Composed Image Retrieval

Reference 57

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:44:00.614106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:59.614237Z digest=sha256:c473cb95e5f624745a067a5cd11bb82f4d54d9801565c3a8113e3f4a33d3317c

Observation 0ac25f3e-b83d-4c79-a872-74146f2e3f59 · outbound

This paper cites Modality-Agnostic Attention Fusion for visual search with text feedback.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Modality-Agnostic Attention Fusion for visual search with text feedback

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T14:43:59.708865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:43:59.708865Z digest=sha256:3a55840eb53996ad7310d17197a4432543110f2fa254d9e16a98099a0d72c3ba

Observation a6d9ad5f-e31f-4fb9-bdd4-e2bb91c63319 · outbound

This paper cites Cosmo: Content-style modulation for image retrieval with text feedback.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Cosmo: Content-style modulation for image retrieval with text feedback

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:44:01.918365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:59.822245Z digest=sha256:13d6b9b3df4234225a1a33772db406643c03006ab30fb8a4ab7842274fde1dac

Observation 911ef9e2-5ed9-4ecb-8076-f625388f2885 · outbound

This paper cites Fame-vil: Multi-tasking vision-language model for heterogeneous fashion tasks.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Fame-vil: Multi-tasking vision-language model for heterogeneous fashion tasks

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:44:01.674657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:43:59.927882Z digest=sha256:defe5099e6a12c0db7d5e293d1844149a2ff57d01174a824473333f2f89d171e

Observation 51debe43-6489-439b-bf22-41e80531f186 · outbound

This paper cites Composed image retrieval with text feedback via multi-grained uncertainty regularization.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Composed image retrieval with text feedback via multi-grained uncertainty regularization

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:44:01.439682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:44:00.032163Z digest=sha256:d6d4d478f3adb54fbb7d9b70ea3cbb690394dd1c4ce36408386513c437de46b1

Observation 9e93f219-e6a6-4c75-a46b-902f76e144c3 · outbound

This paper cites Genecis: A benchmark for general conditional image similarity.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Genecis: A benchmark for general conditional image similarity

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:44:01.261547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:44:00.115285Z digest=sha256:75d4139f4ec32cd056c01dbc95bb31659f3a61deb250d634ed2bf43019997866

Observation 36cc717f-0d3d-4ff3-a4c7-10f92ad5a3d4 · outbound

This paper cites Language-only training of zero-shot composed image retrieval.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Language-only training of zero-shot composed image retrieval

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:44:01.056423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:44:00.208920Z digest=sha256:878d221fc434b9e5bec7c60ab40ff3fac23cae73485ecfed5899cc3b278557a1

Observation 8a3e7ba4-27b1-44f9-892f-21eba2dee7eb · outbound

This paper cites Missing Target-Relevant Information Prediction with World Model for Accurate Zero-Shot Composed Image Retrieval.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Missing Target-Relevant Information Prediction with World Model for Accurate Zero-Shot Composed Image Retrieval

Reference 64

Resolution
malformed identifier
no resolver link, observed 2026-08-07T14:44:00.325185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:44:00.325185Z digest=sha256:196075dee3a8f85b5514e5e9776c3f74de377f6931566e5aa35d86d2320d8eba

Observation f154ed0a-03cc-4ea0-838d-357fdb610286 · outbound

This paper cites an unresolved cited work.

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval Unresolved cited work

Reference 2024

Resolution
parse uncertain
no resolver link, observed 2026-08-07T14:43:56.707152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:43:56.707152Z digest=sha256:e77f1037212e204bda2aeb913d8ee4945fd0de3fbbf80d98fe5eff4f91a963dd

Pith citing papers

Observation 62f33b34-ac4b-4a13-afc3-b858cd40f836 · inbound

Beyond Semantic Search: Towards Referential Anchoring in Composed Image Retrieval cites this paper.

Beyond Semantic Search: Towards Referential Anchoring in Composed Image Retrieval DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:35:50.487903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T19:42:23.224746Z digest=sha256:62538d1ff8b52d0846baf9a59b9b796d9acc6d9ea35b74be300234498ac82756

Observation bd154788-16db-4ba3-92d1-516fb324fc4e · inbound

FIRE-CIR: Fine-grained Reasoning for Composed Fashion Image Retrieval cites this paper.

FIRE-CIR: Fine-grained Reasoning for Composed Fashion Image Retrieval DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:21:00.335945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:11:25.983511Z digest=sha256:7c15be4d3d295a1a725ddb24da7b5e608f7acd8ba3017f6f3ef1475bf18640f2

Observation 3187ab66-df64-4504-9f9a-022ebd5919aa · inbound

Before Thinking, Learn to Decide: Proactive Routing for Efficient Visual Reasoning cites this paper.

Before Thinking, Learn to Decide: Proactive Routing for Efficient Visual Reasoning DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-06-30T13:34:41.178587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T05:55:19.083517Z digest=sha256:958e2fe84404ced2aa97c5636b32e221580a38d361590989430aa99587773d58

Observation dde27b49-0cd2-40f4-8b20-4e4842d4db26 · inbound

Learning to Compose: Revisiting Proxy Task Design for Zero-Shot Composed Image Retrieval cites this paper.

Learning to Compose: Revisiting Proxy Task Design for Zero-Shot Composed Image Retrieval DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval

Reference 35

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T15:17:07.294917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-02T15:11:57.228949Z digest=sha256:5a7d0ab48be7c263827c7d1a9f739f89b715a26b59fe8f626441bd60eaf8eb52