Deep learning-based animal activity recognition with wearable sensors: Overview, challenges, and future directions
Animal behavior, as one of the most crucial indicators of animal health and welfare, provides
rich insights into animal physical and mental states. Automated animal activity recognition …
rich insights into animal physical and mental states. Automated animal activity recognition …
A review of state-of-the-art in Face Presentation Attack Detection: From early development to advanced deep learning and multi-modal fusion methods
Face Recognition is considered one of the most common biometric solutions these days and
is widely used across a range of devices for various security purposes. The performance of …
is widely used across a range of devices for various security purposes. The performance of …
Rethinking domain generalization for face anti-spoofing: Separability and alignment
This work studies the generalization issue of face anti-spoofing (FAS) models on domain
gaps, such as image resolution, blurriness and sensor variations. Most prior works regard …
gaps, such as image resolution, blurriness and sensor variations. Most prior works regard …
Generalizable representation learning for mixture domain face anti-spoofing
Face anti-spoofing approach based on domain generalization (DG) has drawn growing
attention due to its robustness for unseen scenarios. Existing DG methods assume that the …
attention due to its robustness for unseen scenarios. Existing DG methods assume that the …
Adaptive transformers for robust few-shot cross-domain face anti-spoofing
While recent face anti-spoofing methods perform well under the intra-domain setups, an
effective approach needs to account for much larger appearance variations of images …
effective approach needs to account for much larger appearance variations of images …
Towards unsupervised domain generalization for face anti-spoofing
Generalizable face anti-spoofing (FAS) based on domain generalization (DG) has gained
growing attention due to its robustness in real-world applications. However, these DG …
growing attention due to its robustness in real-world applications. However, these DG …
Source-free domain adaptation with contrastive domain alignment and self-supervised exploration for face anti-spoofing
Despite promising success in intra-dataset tests, existing face anti-spoofing (FAS) methods
suffer from poor generalization ability under domain shift. This problem can be solved by …
suffer from poor generalization ability under domain shift. This problem can be solved by …
Learnable multi-level frequency decomposition and hierarchical attention mechanism for generalized face presentation attack detection
With the increased deployment of face recognition systems in our daily lives, face
presentation attack detection (PAD) is attracting much attention and playing a key role in …
presentation attack detection (PAD) is attracting much attention and playing a key role in …
Dual-branch meta-learning network with distribution alignment for face anti-spoofing
Existing face anti-spoofing (FAS) methods fail to generalize well to unseen domains with
different data distribution from the training domains, due to the distribution discrepancies …
different data distribution from the training domains, due to the distribution discrepancies …
Face liveness detection using artificial intelligence techniques: A systematic literature review and future directions
Biometrics has been evolving as an exciting yet challenging area in the last decade. Though
face recognition is one of the most promising biometrics techniques, it is vulnerable to …
face recognition is one of the most promising biometrics techniques, it is vulnerable to …