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Found 8 papers, 2 papers with code
FeTT: Continual Class Incremental Learning via Feature Transformation Tuning
Additionally, the fine-tune-then-frozen mechanism suffers from performance limitations due to feature channels suppression and insufficient training data in the first CL task.
Dynamic Feature Learning and Matching for Class-Incremental Learning
The misalignment between dynamic feature and classifier constrains the capabilities of the model.
Continual Learning on Graphs: A Survey
Recently, continual graph learning has been increasingly adopted for diverse graph-structured data processing tasks in non-stationary environments.
PMMTalk: Speech-Driven 3D Facial Animation from Complementary Pseudo Multi-modal Features
The framework entails three modules: PMMTalk encoder, cross-modal alignment module, and PMMTalk decoder.
Gloss-free Sign Language Translation: Improving from Visual-Language Pretraining
Many previous methods employ an intermediate representation, i. e., gloss sequences, to facilitate SLT, thus transforming it into a two-stage task of sign language recognition (SLR) followed by sign language translation (SLT).
Ranked #2 on
Gloss-free Sign Language Translation
on PHOENIX14T
FM-ViT: Flexible Modal Vision Transformers for Face Anti-Spoofing
The availability of handy multi-modal (i. e., RGB-D) sensors has brought about a surge of face anti-spoofing research.
Decoupling and Recoupling Spatiotemporal Representation for RGB-D-based Motion Recognition
Decoupling spatiotemporal representation refers to decomposing the spatial and temporal features into dimension-independent factors.
Ranked #1 on
Hand Gesture Recognition
on NVGesture
Contrastive Context-Aware Learning for 3D High-Fidelity Mask Face Presentation Attack Detection
To bridge the gap to real-world applications, we introduce a largescale High-Fidelity Mask dataset, namely CASIA-SURF HiFiMask (briefly HiFiMask).
