Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification | Paper Citation Record

Observation 388c5e53-8647-462d-8aff-d2fafe202a11 · outbound

This paper cites Deep-person: Learning discriminative deep features for person re-identification,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Deep-person: Learning discriminative deep features for person re-identification,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.961051Z

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Observation 106aa065-dbf4-4619-894c-6aa22b9d6035 · outbound

This paper cites Learning to know where to see: A visibility-aware approach for occluded person re-identification,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Learning to know where to see: A visibility-aware approach for occluded person re-identification,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.931168Z

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Observation a3c47308-46f3-4157-83b7-5c2c411ed8ac · outbound

This paper cites Attention is all you need,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Attention is all you need,

Reference 3

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Observation b5ef9dcd-72ee-4a96-ab61-a5d308c9ccb2 · outbound

This paper cites Deep residual learning for image recognition,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Deep residual learning for image recognition,

Reference 4

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Observation ee7c42bc-8646-4dde-8005-349070912223 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T05:45:17.291651Z

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Observation 970484c3-a653-4d3c-98fd-92d340d7fc51 · outbound

This paper cites Visible thermal per- son re-identification via multi-branch modality residual complementary learning,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Visible thermal per- son re-identification via multi-branch modality residual complementary learning,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.886545Z

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Observation ab9b9618-d3fb-478f-a1b9-ec6617a9c21e · outbound

This paper cites Robust Pseudo-label Learning with Neighbor Relation for Unsupervised Visible-Infrared Person Re-Identification.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Robust Pseudo-label Learning with Neighbor Relation for Unsupervised Visible-Infrared Person Re-Identification

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-11T05:45:17.846939Z

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Observation 620897c0-1877-48ff-85b7-f1262e8f4ad0 · outbound

This paper cites Dual pseudo-labels interactive self-training for semi-supervised visible- infrared person re-identification,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Dual pseudo-labels interactive self-training for semi-supervised visible- infrared person re-identification,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.867481Z

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Observation e91731ca-01dd-4e40-80fa-bd9b59d4163f · outbound

This paper cites Multi-Memory Matching for Unsupervised Visible-Infrared Person Re-Identification.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Multi-Memory Matching for Unsupervised Visible-Infrared Person Re-Identification

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-11T05:45:17.809898Z

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Observation 60c83400-8b05-4587-9dd3-a1ecd3a758e6 · outbound

This paper cites Abd-net: Attentive but diverse person re-identification,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Abd-net: Attentive but diverse person re-identification,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.850032Z

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Observation aaeb83a7-8f5e-4f5a-b747-7a933cfe8fb0 · outbound

This paper cites Batch dropblock network for person re-identification and beyond,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Batch dropblock network for person re-identification and beyond,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.830893Z

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Observation 4c6ad392-9af5-4db1-9968-002c90159257 · outbound

This paper cites High-order information matters: Learning relation and topology for occluded person re-identification,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification High-order information matters: Learning relation and topology for occluded person re-identification,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.811677Z

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Observation eef7e438-39a9-4d17-8cbf-4114b7734d91 · outbound

This paper cites Hat: Hierarchical aggregation transformers for person re-identification,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Hat: Hierarchical aggregation transformers for person re-identification,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.791502Z

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Observation ca2126f6-d2cb-49dc-b2d8-c0af369b7ed0 · outbound

This paper cites Relation-aware global attention for person re-identification,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Relation-aware global attention for person re-identification,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.771702Z

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Observation c72bd0b6-eca5-4389-bbf2-492a57e3f219 · outbound

This paper cites Nformer: Robust person re-identification with neighbor transformer,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Nformer: Robust person re-identification with neighbor transformer,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.754372Z

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Observation addbe79f-613a-4582-b551-7931003d146b · outbound

This paper cites Transreid: Transformer-based object re-identification,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Transreid: Transformer-based object re-identification,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.736921Z

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Observation 886119ad-f0d9-4a24-9572-6fc008200542 · outbound

This paper cites AAformer: Auto-Aligned Transformer for Person Re-Identification.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification AAformer: Auto-Aligned Transformer for Person Re-Identification

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T05:45:17.364186Z

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Observation f923a4b9-5c45-4bca-afd0-8cb368216258 · outbound

This paper cites Magic tokens: Select diverse tokens for multi-modal object re-identification,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Magic tokens: Select diverse tokens for multi-modal object re-identification,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.719369Z

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Observation eca467ff-39ed-4613-98ba-060b7f1087a9 · outbound

This paper cites Top-reid: Multi- spectral object re-identification with token permutation,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Top-reid: Multi- spectral object re-identification with token permutation,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T05:45:17.374897Z

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Observation 65e98275-ea44-4331-b144-b1ded2549e62 · outbound

This paper cites Other tokens matter: Exploring global and local features of vision transformers for object re-identification,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Other tokens matter: Exploring global and local features of vision transformers for object re-identification,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.687826Z

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Observation a02c27a9-d3cd-4d92-8fd4-45ff4f844b7a · outbound

This paper cites Tf-clip: Learning text-free clip for video-based person re-identification,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Tf-clip: Learning text-free clip for video-based person re-identification,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.670596Z

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Observation 6bead926-dc5c-4efa-b53d-72c6b48e4bb8 · outbound

This paper cites A video is worth three views: Trigeminal transformers for video-based person re- identification,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification A video is worth three views: Trigeminal transformers for video-based person re- identification,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.652823Z

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Observation da876b33-9ecf-4474-8bd8-dbff45882c3c · outbound

This paper cites Deeply coupled convolution– transformer with spatial–temporal complementary learning for video- based person re-identification,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Deeply coupled convolution– transformer with spatial–temporal complementary learning for video- based person re-identification,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.634859Z

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Observation 81d9be73-4748-4687-8919-6f6a04b75856 · outbound

This paper cites Video-based person re-identification with long short-term representation learning,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Video-based person re-identification with long short-term representation learning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.616756Z

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Observation 021ee924-232f-4842-b4a7-157377a95bd7 · outbound

This paper cites Learning progressive modality-shared transformers for effective visible-infrared person re-identification,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Learning progressive modality-shared transformers for effective visible-infrared person re-identification,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T05:45:17.404853Z

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Observation adaf4a43-db65-4daf-8725-4e0e75cb8d27 · outbound

This paper cites Cvt: Introducing convolutions to vision transformers,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Cvt: Introducing convolutions to vision transformers,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.588225Z

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Observation d02197e4-41c1-42ec-bb39-09c7060126ca · outbound

This paper cites Mobile-former: Bridging mobilenet and transformer,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Mobile-former: Bridging mobilenet and transformer,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.571275Z

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Observation ff46b41b-5f97-416c-b57a-aba84825e06f · outbound

This paper cites Deep metric learning for person re-identification,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Deep metric learning for person re-identification,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.554382Z

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Observation 3387b74f-db06-4629-860a-bd61be08ca9b · outbound

This paper cites Beyond part models: Person retrieval with refined part pooling (and a strong convolutional baseline),.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Beyond part models: Person retrieval with refined part pooling (and a strong convolutional baseline),

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.536972Z

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Observation 966dfc5e-3406-4d1d-9e66-0f35ce86b2bf · outbound

This paper cites Learning discriminative features with multiple granularities for person re-identification,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Learning discriminative features with multiple granularities for person re-identification,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.518528Z

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Observation a2db89d4-4164-4b28-bd3b-481f278bcd65 · outbound

This paper cites Deep representation learning with part loss for person re-identification,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Deep representation learning with part loss for person re-identification,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.496121Z

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Observation 96a0f7ec-8d21-428d-9611-d4cbb69ff845 · outbound

This paper cites A pose- sensitive embedding for person re-identification with expanded cross neighborhood re-ranking,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification A pose- sensitive embedding for person re-identification with expanded cross neighborhood re-ranking,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.475876Z

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Observation af998497-4221-413b-85c7-c2781e6874af · outbound

This paper cites Pose-invariant embedding for deep person re-identification,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Pose-invariant embedding for deep person re-identification,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.456251Z

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Observation 13535819-0b5c-40fe-ab1e-712816cd7eee · outbound

This paper cites Foreground- aware pyramid reconstruction for alignment-free occluded person re- identification,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Foreground- aware pyramid reconstruction for alignment-free occluded person re- identification,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.437058Z

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Observation 56ed1a47-767c-4a76-bb84-7ea8cf9eae92 · outbound

This paper cites Densely semantically aligned person re-identification,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Densely semantically aligned person re-identification,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.418999Z

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Observation 41b4aae1-2a7e-48be-99c1-2f70a005e0c6 · outbound

This paper cites Bag of tricks and a strong baseline for deep person re-identification,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Bag of tricks and a strong baseline for deep person re-identification,

Reference 36

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Observation 4e7e5e94-66b4-4824-9284-7abc0126407e · outbound

This paper cites Learning deep feature representations with domain guided dropout for person re-identification,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Learning deep feature representations with domain guided dropout for person re-identification,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.387993Z

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Observation bdb3a6c9-8904-48af-9ea9-cf5ae5460821 · outbound

This paper cites Harmonious attention network for person re-identification,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Harmonious attention network for person re-identification,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.369037Z

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Observation 7ac5df47-2a56-4ef9-b8de-e8cdcd3e561b · outbound

This paper cites Diverse part dis- covery: Occluded person re-identification with part-aware transformer,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Diverse part dis- covery: Occluded person re-identification with part-aware transformer,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.351626Z

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Observation e6adcd73-8811-4324-8e8f-22d45bcdaef0 · outbound

This paper cites Adaptive high-frequency transformer for diverse wildlife re-identification,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Adaptive high-frequency transformer for diverse wildlife re-identification,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.330080Z

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Observation 89d46f2c-2d74-4a29-b42c-dbd73854f43c · outbound

This paper cites Conformer: Convolution-augmented Transformer for Speech Recognition.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Conformer: Convolution-augmented Transformer for Speech Recognition

Reference 41

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Observation a5f5e670-4763-401d-ba44-5012403034fa · outbound

This paper cites Coatnet: Marrying convolution and attention for all data sizes,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Coatnet: Marrying convolution and attention for all data sizes,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.311729Z

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Observation 30f2d2a9-1a46-4668-a5aa-8e419dac9cd8 · outbound

This paper cites A semantic perception and cnn-transformer hybrid network for occluded person re-identification,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification A semantic perception and cnn-transformer hybrid network for occluded person re-identification,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.293685Z

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Observation b83b084d-5d1a-4aae-8ba0-8fe5370f406c · outbound

This paper cites 3d medical image segmentation using parallel transformers,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification 3d medical image segmentation using parallel transformers,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.274616Z

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Observation 7fe138eb-2653-4740-9ce8-e3d9d6eb49b2 · outbound

This paper cites Ghostformer: Efficiently amalga- mated cnn-transformer architecture for object detection,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Ghostformer: Efficiently amalga- mated cnn-transformer architecture for object detection,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.254133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 54d20901-c197-4c79-aa41-63da963f71e5 · outbound

This paper cites Rethinking the inception architecture for computer vision,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Rethinking the inception architecture for computer vision,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-11T05:45:17.522870Z

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Observation 6fe1dda2-ff10-4d1d-b498-1629371ead4b · outbound

This paper cites In Defense of the Triplet Loss for Person Re-Identification.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification In Defense of the Triplet Loss for Person Re-Identification

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T05:45:17.528477Z

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Observation 0c43645f-54bd-424c-85ad-99ec932ec372 · outbound

This paper cites Fine-tuning cnn image retrieval with no human annotation,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Fine-tuning cnn image retrieval with no human annotation,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.222222Z

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Observation 7434c618-3691-49b0-81c3-b5f5de211439 · outbound

This paper cites Delving deep into rectifiers: Surpassing human-level performance on imagenet classification,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Delving deep into rectifiers: Surpassing human-level performance on imagenet classification,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-11T05:45:17.540529Z

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Observation 5fe85233-4e82-4fae-a205-5a4ce69fa429 · outbound

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

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Batch normalization: Accelerating deep network training by reducing internal covariate shift,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T05:45:17.546724Z

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Observation e5e9e03c-fbed-43b1-a8ba-c273fa9f1492 · outbound

This paper cites On layer normalization in the transformer architecture,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification On layer normalization in the transformer architecture,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.176105Z

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Observation 923aa5f4-778b-4d73-9b00-e39e6b3ba485 · outbound

This paper cites Identity mappings in deep residual networks,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Identity mappings in deep residual networks,

Reference 52

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This paper cites Gaussian Error Linear Units (GELUs).

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Gaussian Error Linear Units (GELUs)

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-11T05:45:17.567476Z

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Observation 0a5e231f-8a3b-4e29-8b2d-3f8329eda862 · outbound

This paper cites Amulet: Aggregating multi-level convolutional features for salient object detection,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Amulet: Aggregating multi-level convolutional features for salient object detection,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-11T05:45:17.572971Z

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Observation 4ed5aadf-8268-4459-bab8-06b7cb0d2fd2 · outbound

This paper cites Scalable person re-identification: A benchmark,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Scalable person re-identification: A benchmark,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.131541Z

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This paper cites Person transfer gan to bridge domain gap for person re-identification,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Person transfer gan to bridge domain gap for person re-identification,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.111603Z

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This paper cites Imagenet: A large-scale hierarchical image database,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Imagenet: A large-scale hierarchical image database,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.091803Z

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This paper cites Random erasing data augmentation,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Random erasing data augmentation,

Reference 58

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This paper cites Omni-scale feature learning for person re-identification,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Omni-scale feature learning for person re-identification,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.058728Z

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Observation 0c3ba648-7dc0-4b01-8e35-df046fedacb9 · outbound

This paper cites Combined depth space based architec- ture search for person re-identification,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Combined depth space based architec- ture search for person re-identification,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.038289Z

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This paper cites Pose-guided feature dis- entangling for occluded person re-identification based on transformer,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Pose-guided feature dis- entangling for occluded person re-identification based on transformer,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:18.018565Z

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Observation 7ca94b42-4b0c-42cd-a263-7bd517fbc0ed · outbound

This paper cites Seeing like a human: Asyn- chronous learning with dynamic progressive refinement for person re- identification,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Seeing like a human: Asyn- chronous learning with dynamic progressive refinement for person re- identification,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:17.992317Z

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This paper cites Incremental generative occlusion adversarial suppression network for person reid,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Incremental generative occlusion adversarial suppression network for person reid,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:17.972108Z

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This paper cites Feature erasing and diffusion network for occluded person re-identification,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Feature erasing and diffusion network for occluded person re-identification,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:17.950216Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 07ec5f93-b374-41f8-ae2d-08c43c62eca2 · outbound

This paper cites Tokens-to-token vit: Training vision transformers from scratch on imagenet,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Tokens-to-token vit: Training vision transformers from scratch on imagenet,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:17.927708Z

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Observation 7084cc72-cddc-44f7-81b0-513c99e67197 · outbound

This paper cites Training data-efficient image transformers & distillation through attention,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Training data-efficient image transformers & distillation through attention,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:45:17.908520Z

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Observation 4b3e2938-7633-49c6-8b9b-c42045422e3b · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization,.

Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification Grad-cam: Visual explanations from deep networks via gradient-based localization,

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-11T05:45:17.639800Z

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