Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection | Paper Citation Record

Observation 28e7d4bd-57f9-43e4-8d60-b13ebcbd8d57 · outbound

This paper cites Memory aware synapses: Learning what (not) to forget.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Memory aware synapses: Learning what (not) to forget

Reference 1

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Observation c2969f78-c295-4f4f-a4fc-b01a11bdf999 · outbound

This paper cites Destruction and construction learning for fine-grained image recognition.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Destruction and construction learning for fine-grained image recognition

Reference 2

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Observation 3ac99659-582f-498c-83b4-1cb6a1159dc5 · outbound

This paper cites DiffusionFace: Towards a Comprehensive Dataset for Diffusion-Based Face Forgery Analysis.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection DiffusionFace: Towards a Comprehensive Dataset for Diffusion-Based Face Forgery Analysis

Reference 3

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Observation 487d3ed8-93cd-40dd-bce4-3da934a0e477 · outbound

This paper cites Can We Leave Deepfake Data Behind in Training Deepfake Detector?.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Can We Leave Deepfake Data Behind in Training Deepfake Detector?

Reference 4

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Observation 76fedad3-bbaf-45da-bfa3-3c9e4381f899 · outbound

This paper cites ED$^4$: Explicit Data-level Debiasing for Deepfake Detection.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection ED$^4$: Explicit Data-level Debiasing for Deepfake Detection

Reference 5

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Observation a39a6da4-d125-4c47-b7f1-2704b1ab7f99 · outbound

This paper cites Xception: Deep learning with depthwise separable convolutions.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Xception: Deep learning with depthwise separable convolutions

Reference 6

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Observation e24a75db-0b98-4792-b9c9-e1fb498eabcc · outbound

This paper cites Group equivariant convolu- tional networks.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Group equivariant convolu- tional networks

Reference 7

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Observation 7a0282f2-d470-423e-b9fc-8084331f4ab8 · outbound

This paper cites A continual learning survey: Defying forgetting in classification tasks.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection A continual learning survey: Defying forgetting in classification tasks

Reference 8

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Observation e7fccadc-10bb-4812-b243-2b893fca1b2f · outbound

This paper cites https://www.kaggle.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection https://www.kaggle

Reference 9

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Observation c86ad7a7-c1f7-4865-952e-f34da206670c · outbound

This paper cites https://ai.googleblog.com/2019/09/ contributing-data-to-deepfake-detection.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection https://ai.googleblog.com/2019/09/ contributing-data-to-deepfake-detection

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:10.107079Z

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Observation d0609b2d-74d5-4cc0-9001-661dba6549c2 · outbound

This paper cites Towards Deep Symbolic Reinforcement Learning.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Towards Deep Symbolic Reinforcement Learning

Reference 11

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This paper cites A kernel two-sample test.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection A kernel two-sample test

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:10.081885Z

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Observation 52152587-44dc-4ae6-8a7a-82474a855ea3 · outbound

This paper cites Lips don’t lie: A generalisable and robust approach to face forgery detection.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Lips don’t lie: A generalisable and robust approach to face forgery detection

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:10.061869Z

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Observation 5ca60ccb-2860-4111-b1ed-047efea9861b · outbound

This paper cites Implicit identity representation conditioned memory compensation network for talking head video generation.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Implicit identity representation conditioned memory compensation network for talking head video generation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:10.044955Z

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Observation 45188842-6a3b-4e2c-8dea-2bef06ae60e9 · outbound

This paper cites Implicit identity driven deepfake face swapping detection.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Implicit identity driven deepfake face swapping detection

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:10.027261Z

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Observation 5003ef03-b216-44b5-acd9-2f13007ab05b · outbound

This paper cites Alias-free generative adversarial networks.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Alias-free generative adversarial networks

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:10.009268Z

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Observation 83c80610-dc93-41f8-a094-546dff114c10 · outbound

This paper cites FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset

Reference 17

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This paper cites Supervised contrastive learning.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Supervised contrastive learning

Reference 18

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Observation 6170e5f6-ab90-4705-967e-31285d2b12d0 · outbound

This paper cites Cored: Gen- eralizing fake media detection with continual representation using distillation.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Cored: Gen- eralizing fake media detection with continual representation using distillation

Reference 19

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Observation 9dfd35dc-924e-45ec-8332-0701fb04fe99 · outbound

This paper cites Overcoming catastrophic forgetting in neural networks.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Overcoming catastrophic forgetting in neural networks

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:09.950734Z

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Observation fc31f256-cff8-41cc-97fc-f4f3db6287a9 · outbound

This paper cites Celeb-df: A new dataset for deepfake forensics.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Celeb-df: A new dataset for deepfake forensics

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:09.934287Z

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Observation 70454dda-9f31-4f12-871f-8e86cc26f327 · outbound

This paper cites Learning without forgetting.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Learning without forgetting

Reference 22

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Observation c91ad7d1-9e71-440f-ad46-6e7745e910f8 · outbound

This paper cites Exploring disentangled content information for face forgery detection.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Exploring disentangled content information for face forgery detection

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:09.898980Z

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Observation 50bcba1e-b916-4507-87c9-d9d8c482863a · outbound

This paper cites Spatial- phase shallow learning: rethinking face forgery detection in frequency domain.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Spatial- phase shallow learning: rethinking face forgery detection in frequency domain

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:09.880764Z

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Observation f46a57df-8819-42c4-afc0-91c55fb7c5fc · outbound

This paper cites Mnemonics training: Multi-class incremental learning without forgetting.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Mnemonics training: Multi-class incremental learning without forgetting

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:09.864455Z

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Observation fa3a77f0-acc7-4077-92b2-659230e48cb3 · outbound

This paper cites Supervised contrastive replay: Revisiting the nearest class mean classifier in online class-incremental continual learning.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Supervised contrastive replay: Revisiting the nearest class mean classifier in online class-incremental continual learning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:09.847697Z

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Observation f42cb2fc-4e06-46fe-b479-57364aa19133 · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 27

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Observation 30b74a3e-4385-47f3-88f9-a3f16ac4cd4f · outbound

This paper cites Universal adversarial perturba- tions.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Universal adversarial perturba- tions

Reference 28

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Observation 62ba3c82-4bae-46ca-9f3f-39c46f815996 · outbound

This paper cites Core: Consistent represen- tation learning for face forgery detection.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Core: Consistent represen- tation learning for face forgery detection

Reference 29

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Observation 95d78407-98ad-43b5-9e2e-c7dc348afaf6 · outbound

This paper cites Dfil: Deepfake incremental learning by exploiting domain- invariant forgery clues.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Dfil: Deepfake incremental learning by exploiting domain- invariant forgery clues

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:09.789346Z

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Observation 8246aac4-0c92-4311-ae4a-2825de149b5d · outbound

This paper cites icarl: Incremental classifier and representation learning.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection icarl: Incremental classifier and representation learning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:09.764782Z

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Observation 66af2f3b-1322-4dcd-bdb8-fd9db7daa90c · outbound

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

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection High-resolution image synthesis with latent diffusion models

Reference 32

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Observation 74baf793-1fb7-4c63-b719-244c246adee7 · outbound

This paper cites Faceforen- sics++: Learning to detect manipulated facial images.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Faceforen- sics++: Learning to detect manipulated facial images

Reference 33

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

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Grad- cam: Visual explanations from deep networks via gradient- based localization

Reference 34

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Observation ff97d985-7670-418a-a547-538437fabc90 · outbound

This paper cites Stable learning via differentiated variable decorrelation.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Stable learning via differentiated variable decorrelation

Reference 35

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Observation f086b925-5dab-4aff-ab19-169a8b8ed5cf · outbound

This paper cites Detecting deep- fakes with self-blended images.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Detecting deep- fakes with self-blended images

Reference 36

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Observation 7bffd8ea-7ab2-495a-bed6-91fb82db768d · outbound

This paper cites Blendface: Re-designing identity encoders for face-swapping.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Blendface: Re-designing identity encoders for face-swapping

Reference 37

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This paper cites Dual contrastive learning for general face forgery detection.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Dual contrastive learning for general face forgery detection

Reference 38

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Observation faea4ef0-e9ac-4f1a-ba63-1dd5f0f0f045 · outbound

This paper cites Continual face forgery detection via historical distribution preserving.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Continual face forgery detection via historical distribution preserving

Reference 39

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Observation 37e426b8-86dd-44d9-ae9c-4e80d196209d · outbound

This paper cites Efficientnet: Rethinking model scaling for convolutional neural networks.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Efficientnet: Rethinking model scaling for convolutional neural networks

Reference 40

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This paper cites Dynamic mixed-prototype model for incremental deepfake detection.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Dynamic mixed-prototype model for incremental deepfake detection

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:09.579375Z

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Observation bea88912-312e-4f92-b48c-278eeab02256 · outbound

This paper cites Designing one unified framework for high-fidelity face reenactment and swapping.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Designing one unified framework for high-fidelity face reenactment and swapping

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:09.561016Z

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Observation 12d4160b-094b-4eb2-8a46-529d51576834 · outbound

This paper cites Der: Dynami- cally expandable representation for class incremental learning.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Der: Dynami- cally expandable representation for class incremental learning

Reference 43

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This paper cites Ucf: Uncovering common features for generalizable deepfake detection.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Ucf: Uncovering common features for generalizable deepfake detection

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:09.525154Z

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Observation 8545e47a-74f8-4ad5-a091-221f0bf5eb55 · outbound

This paper cites DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection

Reference 45

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Observation c0a891d4-13b6-4ec1-a317-5a7695c104ac · outbound

This paper cites Transcending forgery specificity with latent space augmentation for generalizable deepfake detection.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Transcending forgery specificity with latent space augmentation for generalizable deepfake detection

Reference 46

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This paper cites DF40: Toward Next-Generation Deepfake Detection.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection DF40: Toward Next-Generation Deepfake Detection

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-12T18:38:09.070365Z

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This paper cites Deep stable learning for out-of-distribution generalization.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Deep stable learning for out-of-distribution generalization

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:09.480757Z

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Observation af06098a-25a7-4556-9cc4-6cc660c85f54 · outbound

This paper cites Results with Protocol 3 Method FF++ DFDCP DFD CDF Avg.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Results with Protocol 3 Method FF++ DFDCP DFD CDF Avg

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:09.459388Z

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Observation 9d9d319a-008a-43be-9bf7-fd58b9478600 · outbound

This paper cites Visualization of Model Attention via Grad- CAM As shown in Fig 6, we deploy Grad-CAM [34] to generate saliency maps.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Visualization of Model Attention via Grad- CAM As shown in Fig 6, we deploy Grad-CAM [34] to generate saliency maps

Reference 50

Resolution: malformed identifier; raw_fallback, observed 2026-08-12T18:38:09.429036Z

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Observation 2f1b1abc-057d-42a5-84a0-3b4f2ae16995 · outbound

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Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Unresolved cited work

Reference 51

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Observation cd79ffa9-013f-47b2-bfc1-c06e1872f3fa · outbound

This paper cites an unresolved cited work.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Unresolved cited work

Reference 52

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This paper cites Sensitivity of replay size.

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Sensitivity of replay size

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:09.359918Z

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