Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation | Paper Citation Record

Observation 820b6c81-cd47-4d7d-888e-043cb3de3559 · outbound

This paper cites Learning expressionlets on spatio-temporal manifold for dynamic facial expression recognition,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Learning expressionlets on spatio-temporal manifold for dynamic facial expression recognition,

Reference 1

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Observation ba277eb8-cd78-4b2e-ae15-66015cb5bd30 · outbound

This paper cites Facial expression recogni- tion using encoded dynamic features,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Facial expression recogni- tion using encoded dynamic features,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:13.282847Z

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Observation bc630e86-9c04-4678-a784-af6594e9df4a · outbound

This paper cites Boosting encoded dynamic features for facial expression recognition,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Boosting encoded dynamic features for facial expression recognition,

Reference 3

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Observation bad4181c-a97e-4cc0-be5f-e8b29ddc9490 · outbound

This paper cites Dfew: A large-scale database for recognizing dynamic facial expressions in the wild,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Dfew: A large-scale database for recognizing dynamic facial expressions in the wild,

Reference 4

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Observation 8ee0bdec-ddb7-4fee-bb69-95f92a02a789 · outbound

This paper cites Midas: Mixing ambiguous data with soft labels for dynamic facial expression recognition,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Midas: Mixing ambiguous data with soft labels for dynamic facial expression recognition,

Reference 5

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Observation c37a3f56-e628-40e9-9b4b-78c4532af43f · outbound

This paper cites FERV39k: A large-scale multi-scene dataset for facial expression recognition in videos,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation FERV39k: A large-scale multi-scene dataset for facial expression recognition in videos,

Reference 6

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Observation a1bd2329-c91c-41a8-bcca-661224b447e6 · outbound

This paper cites The extended Cohn-Kanade dataset (CK+): A complete dataset for action unit and emotion-specified expression,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation The extended Cohn-Kanade dataset (CK+): A complete dataset for action unit and emotion-specified expression,

Reference 7

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Observation 8a9cde0c-7fa5-4f83-b716-aa07a0c36de7 · outbound

This paper cites Facial expression recognition from near-infrared videos,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Facial expression recognition from near-infrared videos,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:13.178143Z

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Observation 0f29f5ed-876f-4ece-89ed-56a572ca7314 · outbound

This paper cites Collecting large, richly annotated facial-expression databases from movies,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Collecting large, richly annotated facial-expression databases from movies,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:13.161866Z

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Observation 7c1603b5-55d2-4210-a710-ebb37a00a6fe · outbound

This paper cites Mafw: A large-scale, multi-modal, compound affective database for dynamic facial expression recognition in the wild,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Mafw: A large-scale, multi-modal, compound affective database for dynamic facial expression recognition in the wild,

Reference 10

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Observation 5c08da43-f5c8-466d-81ab-9638d9749927 · outbound

This paper cites Peak-piloted deep network for facial expression recognition,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Peak-piloted deep network for facial expression recognition,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:13.134509Z

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Observation 2a37978b-ce81-46eb-8244-503b94993ea7 · outbound

This paper cites Frame attention networks for facial expression recognition in videos,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Frame attention networks for facial expression recognition in videos,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:13.118734Z

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Observation 185e2554-e26d-4eed-a64a-b7b692398cd7 · outbound

This paper cites Convolutional neural networks pretrained on large face recognition datasets for emotion classification from video.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Convolutional neural networks pretrained on large face recognition datasets for emotion classification from video

Reference 13

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Observation c6cf7501-c1cb-4f08-9971-30978045f1bd · outbound

This paper cites Deeper cascaded peak-piloted network for weak expression recognition,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Deeper cascaded peak-piloted network for weak expression recognition,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:13.103198Z

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Observation cc5a9957-2f16-440f-8276-a2a0b04c6d2b · outbound

This paper cites Facial expression recognition by de-expression residue learning,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Facial expression recognition by de-expression residue learning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:13.086816Z

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Observation 474e974a-6fce-4d5e-b72f-03cc425eb077 · outbound

This paper cites Noisy student training using body language dataset improves facial expression recognition,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Noisy student training using body language dataset improves facial expression recognition,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:13.070418Z

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Observation b7389f70-ef75-4412-84c1-13660683d168 · outbound

This paper cites Multi-objective based spatio-temporal feature representation learning robust to expression intensity variations for facial expression recognition,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Multi-objective based spatio-temporal feature representation learning robust to expression intensity variations for facial expression recognition,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:13.050554Z

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Observation e403a4b7-fedf-4afd-90d8-f6904ec59d9b · outbound

This paper cites Multi-cue fusion for emotion recognition in the wild,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Multi-cue fusion for emotion recognition in the wild,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:13.033748Z

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Observation 390c6980-1662-4665-b475-bfebc2d8c39c · outbound

This paper cites Stcam: Spatial-temporal and channel attention module for dynamic facial expression recognition,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Stcam: Spatial-temporal and channel attention module for dynamic facial expression recognition,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:13.015592Z

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Observation 55ca4818-0bc0-407e-9366-e02701803908 · outbound

This paper cites Deep generative-contrastive networks for facial expression recognition.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Deep generative-contrastive networks for facial expression recognition

Reference 20

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Observation c74a0344-dc20-4702-9095-0027d288c500 · outbound

This paper cites Temporal multimodal fusion for video emotion classification in the wild,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Temporal multimodal fusion for video emotion classification in the wild,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.998356Z

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Observation db416958-1e6c-4b90-8877-7f8a7708ba95 · outbound

This paper cites Facial expression recognition based on deep convolution long short-term memory networks of double- channel weighted mixture,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Facial expression recognition based on deep convolution long short-term memory networks of double- channel weighted mixture,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.980154Z

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Observation ab48f56b-71d1-427e-9eec-7b5781e602bf · outbound

This paper cites Saanet: Siamese action-units attention network for improving dynamic facial expression recognition,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Saanet: Siamese action-units attention network for improving dynamic facial expression recognition,

Reference 23

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Observation 3f9e04a8-6ef2-4932-a901-b50a85e1b9d4 · outbound

This paper cites Emotion recognition with spatial attention and temporal softmax pooling,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Emotion recognition with spatial attention and temporal softmax pooling,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.951412Z

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Observation 347f5c93-538a-41e1-a8ae-c54549145e67 · outbound

This paper cites Former-dfer: Dynamic facial expression recog- nition transformer,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Former-dfer: Dynamic facial expression recog- nition transformer,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.934037Z

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Observation 231465ed-2514-4c72-be99-60163049ffed · outbound

This paper cites Spatio-Temporal Transformer for Dynamic Facial Expression Recognition in the Wild.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Spatio-Temporal Transformer for Dynamic Facial Expression Recognition in the Wild

Reference 26

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Observation 128e279d-5a63-4213-b1da-38e4d6fe707f · outbound

This paper cites Dpcnet: Dual path multi-excitation collaborative network for facial expression representation learning in videos,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Dpcnet: Dual path multi-excitation collaborative network for facial expression representation learning in videos,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.917300Z

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Observation c8b4c22d-3edd-4f0b-94ef-f86577c7d5f2 · outbound

This paper cites Fru-adapter: Frame recalibration unit adapter for dynamic facial expression recognition,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Fru-adapter: Frame recalibration unit adapter for dynamic facial expression recognition,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.901085Z

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Observation 53de43ca-1803-4371-a35e-6db38ceb83b8 · outbound

This paper cites From static to dynamic: Adapting landmark-aware image models for facial expression recognition in videos,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation From static to dynamic: Adapting landmark-aware image models for facial expression recognition in videos,

Reference 29

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Observation 343aa55d-dde4-45fe-b450-4f49af02b097 · outbound

This paper cites Rethink- ing the learning paradigm for dynamic facial expression recognition,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Rethink- ing the learning paradigm for dynamic facial expression recognition,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.873845Z

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Observation 7e661ff4-0159-46b1-99dd-ea03414cf985 · outbound

This paper cites Mae-dfer: Efficient masked au- toencoder for self-supervised dynamic facial expression recognition,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Mae-dfer: Efficient masked au- toencoder for self-supervised dynamic facial expression recognition,

Reference 31

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Observation 38b29308-8ab9-43c1-8277-7f75148ccf27 · outbound

This paper cites Svfap: Self-supervised video facial affect perceiver,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Svfap: Self-supervised video facial affect perceiver,

Reference 32

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Observation 5b55c0dd-b2ea-4d02-bb24-07789c3e5039 · outbound

This paper cites Fe-adapter: Adapting image- based emotion classifiers to videos,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Fe-adapter: Adapting image- based emotion classifiers to videos,

Reference 33

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Observation c5e5b436-24e8-49d9-9eec-fb4005a9a071 · outbound

This paper cites Hicmae: Hierarchical contrastive masked autoencoder for self-supervised audio-visual emotion recogni- tion,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Hicmae: Hierarchical contrastive masked autoencoder for self-supervised audio-visual emotion recogni- tion,

Reference 34

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Observation 60d91af8-8ee2-4494-b20f-f29af243d30a · outbound

This paper cites Mma-dfer: Multimodal adaptation of unimodal models for dynamic facial expression recognition in-the-wild,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Mma-dfer: Multimodal adaptation of unimodal models for dynamic facial expression recognition in-the-wild,

Reference 35

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Observation a7d14f88-0d01-4c0b-b3ac-1e91a4d94100 · outbound

This paper cites Emoclip: A vision-language method for zero-shot video facial expression recognition,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Emoclip: A vision-language method for zero-shot video facial expression recognition,

Reference 36

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Observation cc60e279-e22f-4264-9d95-0d8bee87bcf2 · outbound

This paper cites Finecliper: Multi- modal fine-grained clip for dynamic facial expression recognition with adapters,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Finecliper: Multi- modal fine-grained clip for dynamic facial expression recognition with adapters,

Reference 37

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Observation 1d0bbdbf-ceaa-4ca8-b36f-95b05956446e · outbound

This paper cites Emotion distribution recognition from facial expressions,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Emotion distribution recognition from facial expressions,

Reference 38

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Observation ac93dd86-c043-4b88-b9f2-fe8f2cf1353d · outbound

This paper cites Expression recognition for severely demented patients in music reminiscence-therapy,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Expression recognition for severely demented patients in music reminiscence-therapy,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.749578Z

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Observation ad7942fe-47e6-4317-b940-e51b55c530de · outbound

This paper cites Dive into am- biguity: Latent distribution mining and pairwise uncertainty estimation for facial expression recognition,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Dive into am- biguity: Latent distribution mining and pairwise uncertainty estimation for facial expression recognition,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.734264Z

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Observation 7f604b03-4de8-4b27-a733-19b60e9f0ea6 · outbound

This paper cites Suppressing uncer- tainties for large-scale facial expression recognition,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Suppressing uncer- tainties for large-scale facial expression recognition,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.718328Z

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Observation 0e1fbc60-c00b-4378-a192-d7a6bddf3c96 · outbound

This paper cites La-net: Landmark-aware learning for reliable facial expression recognition under label noise,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation La-net: Landmark-aware learning for reliable facial expression recognition under label noise,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.702396Z

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Observation 7ad8ec9a-38b3-48d3-9b98-417b11a96065 · outbound

This paper cites Uncertainty-aware label distribution learning for facial expression recognition,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Uncertainty-aware label distribution learning for facial expression recognition,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.685338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9bfccc3b-133c-49ac-87d6-2a82f96107d9 · outbound

This paper cites Intensity-aware loss for dynamic facial expression recognition in the wild,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Intensity-aware loss for dynamic facial expression recognition in the wild,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.669071Z

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Observation 61b800ac-49a6-4bd8-b6eb-a55d447a5bb3 · outbound

This paper cites Facial expression recognition boosted by soft label with a diverse ensemble,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Facial expression recognition boosted by soft label with a diverse ensemble,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.653290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2107900d-465a-47fd-83ed-12dd00b7864f · outbound

This paper cites A survey of mix-based data augmentation: Taxonomy, methods, applications, and explainability,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation A survey of mix-based data augmentation: Taxonomy, methods, applications, and explainability,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.638143Z

Source-reported events for the cited work

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Observation 181d4fb2-5613-4d02-8570-3f267c7d606c · outbound

This paper cites mixup: Beyond empirical risk minimization,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation mixup: Beyond empirical risk minimization,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.622493Z

Source-reported events for the cited work

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Observation 9b5b6a97-2e59-47e8-9b31-51a4270e3339 · outbound

This paper cites Vicinal risk minimization,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Vicinal risk minimization,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.606531Z

Source-reported events for the cited work

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Observation 07ec2f16-e12e-44b9-bee0-a7dd1cb65432 · outbound

This paper cites On mixup training: Improved calibration and predictive uncertainty for deep neural networks,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation On mixup training: Improved calibration and predictive uncertainty for deep neural networks,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.589636Z

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Observation 6d36c12b-91d6-4f99-9d15-91d8ac9925f5 · outbound

This paper cites AugMix: A simple method to improve robustness and uncertainty under data shift,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation AugMix: A simple method to improve robustness and uncertainty under data shift,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.573214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 322af352-3d03-4efc-bae7-dc13f68abcdf · outbound

This paper cites Augmax: Adversarial composition of random augmentations for robust training,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Augmax: Adversarial composition of random augmentations for robust training,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.556562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e4350a43-f66a-47eb-9c4a-9e3bc3e7ff26 · outbound

This paper cites Pixmix: Dreamlike pictures comprehensively improve safety measures,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Pixmix: Dreamlike pictures comprehensively improve safety measures,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.540642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 166004e9-8a62-46aa-95cd-274c054420fd · outbound

This paper cites Ipmix: Label-preserving data augmentation method for training robust classifiers,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Ipmix: Label-preserving data augmentation method for training robust classifiers,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.525194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation be98ad9b-ae5b-4e0b-940d-55601a6a66bf · outbound

This paper cites Diffusemix: Label-preserving data augmentation with diffusion models,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Diffusemix: Label-preserving data augmentation with diffusion models,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.509081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d51777aa-bac6-4ce8-a397-25e5beb6a756 · outbound

This paper cites Cutmix: Regularization strategy to train strong classifiers with localizable fea- tures,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Cutmix: Regularization strategy to train strong classifiers with localizable fea- tures,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.493756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation deab1e73-3aad-4152-8fc6-b3bc8ecdfebc · outbound

This paper cites Improved Regularization of Convolutional Neural Networks with Cutout.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Improved Regularization of Convolutional Neural Networks with Cutout

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T22:45:10.119211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e22e996-3c5c-4677-8bcf-b7b6892f83de · outbound

This paper cites Smoothmix: a simple yet effective data augmentation to train robust classifiers,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Smoothmix: a simple yet effective data augmentation to train robust classifiers,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.478168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9a775f05-6458-4dc8-a097-4b675250812f · outbound

This paper cites You only cut once: Boosting data augmentation with a single cut,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation You only cut once: Boosting data augmentation with a single cut,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.462739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bf779b19-b1ab-4112-8623-e4d286589537 · outbound

This paper cites Sumix: Mixup with semantic and uncertain information,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Sumix: Mixup with semantic and uncertain information,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.447679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ccc48f35-ebaa-425d-8a36-333ff2201dc5 · outbound

This paper cites Cutfreq: cut-and-swap frequency components for low-level vision augmentation,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Cutfreq: cut-and-swap frequency components for low-level vision augmentation,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.432068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9c05a1ca-dd66-4fe1-b6c5-389d2e4ed057 · outbound

This paper cites Gridmix: Strong regularization through local context mapping,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Gridmix: Strong regularization through local context mapping,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.416817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4f720420-c610-4988-af4c-8d7fe14bdf44 · outbound

This paper cites Mixmo: Mixing multiple inputs for multiple outputs via deep subnetworks,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Mixmo: Mixing multiple inputs for multiple outputs via deep subnetworks,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.401663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0a482cbb-26bf-4931-b1f8-2a14e22fb3b2 · outbound

This paper cites Saliencymix: A saliency guided data augmentation strategy for better regularization,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Saliencymix: A saliency guided data augmentation strategy for better regularization,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.386370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 76d6bbb3-a4c4-4a9c-b2f2-ab2b2b425332 · outbound

This paper cites Puzzle mix: Exploiting saliency and local statistics for optimal mixup,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Puzzle mix: Exploiting saliency and local statistics for optimal mixup,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.370758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation db980e09-cfda-4213-baa0-d04da3469ef9 · outbound

This paper cites ResizeMix: Mixing Data with Preserved Object Information and True Labels.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation ResizeMix: Mixing Data with Preserved Object Information and True Labels

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T22:45:10.940380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b23e13b-279c-43cc-85b6-5e5662dd71fc · outbound

This paper cites Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T22:45:11.016776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc7aae89-3658-4fcd-8987-f267cf0a1e15 · outbound

This paper cites Attentive cutmix: An enhanced data augmentation approach for deep learning based image classification,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Attentive cutmix: An enhanced data augmentation approach for deep learning based image classification,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.354717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5af898ec-358c-4315-8c6d-d920d4993887 · outbound

This paper cites Transmix: Attend to mix for vision transformers,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Transmix: Attend to mix for vision transformers,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.338679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0b1fbcef-c1e9-4000-95a2-b7245c7bdaa3 · outbound

This paper cites Tokenmix: Rethinking image mixing for data augmentation in vision transformers,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Tokenmix: Rethinking image mixing for data augmentation in vision transformers,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.322804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7144b24c-7ee2-4406-8bf8-af6aa186c083 · outbound

This paper cites Guidedmixup: an efficient mixup strategy guided by saliency maps,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Guidedmixup: an efficient mixup strategy guided by saliency maps,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.305048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 746f0df1-52c1-4f74-96e0-e972d604af59 · outbound

This paper cites Manifold mixup: Better representations by interpolating hidden states,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Manifold mixup: Better representations by interpolating hidden states,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.287592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9feb3fa1-6c14-4002-95bf-c387dea773f9 · outbound

This paper cites Patchup: A regularization technique for convolutional neural networks,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Patchup: A regularization technique for convolutional neural networks,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.269465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation af7a71dd-4f26-4835-8753-749b1c6185da · outbound

This paper cites Catch-up mix: Catch-up class for struggling filters in cnn,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Catch-up mix: Catch-up class for struggling filters in cnn,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.250849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 547f27dc-506b-4a3d-896a-facec7fc06ed · outbound

This paper cites Mixgen: A new multi-modal data augmentation,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Mixgen: A new multi-modal data augmentation,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.233506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fced36f9-2b92-4bef-ab90-3ae93c8119cb · outbound

This paper cites Contrast and mix: Temporal contrastive video domain adaptation with background mixing,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Contrast and mix: Temporal contrastive video domain adaptation with background mixing,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.216484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e7302ae6-beb5-4f61-abd7-6fdff22bd00e · outbound

This paper cites A case for soft loss functions,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation A case for soft loss functions,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.200165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2b4a7437-67ef-4d0b-af34-ad73dfc0abed · outbound

This paper cites VoxCeleb2: Deep Speaker Recognition.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation VoxCeleb2: Deep Speaker Recognition

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-06T22:45:11.980529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a9203b4-93c7-4f2b-9ed8-58f508217b20 · outbound

This paper cites TSM: Temporal shift module for efficient video understanding,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation TSM: Temporal shift module for efficient video understanding,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:12.183266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4ddc3ffa-b9c3-4f9e-9c5c-a261360b819c · outbound

This paper cites Imagenet large scale visual recognition challenge,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Imagenet large scale visual recognition challenge,

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-06T22:45:11.991173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0a5d75d-e0a8-46bc-9420-ec7590407fa1 · outbound

This paper cites Videomae: Masked autoen- coders are data-efficient learners for self-supervised video pre-training,.

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation Videomae: Masked autoen- coders are data-efficient learners for self-supervised video pre-training,

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-06T22:45:11.996329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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