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Found 6 papers, 1 papers with code
A Multi-In-Single-Out Network for Video Frame Interpolation without Optical Flow
In general, deep learning-based video frame interpolation (VFI) methods have predominantly focused on estimating motion vectors between two input frames and warping them to the target time.
Sample Efficient Dynamics Learning for Symmetrical Legged Robots:Leveraging Physics Invariance and Geometric Symmetries
Model generalization of the underlying dynamics is critical for achieving data efficiency when learning for robot control.
Towards the Human Global Context: Does the Vision-Language Model Really Judge Like a Human Being?
As computer vision and NLP make progress, Vision-Language(VL) is becoming an important area of research.
Exploiting Features with Split-and-Share Module
Deep convolutional neural networks (CNNs) have shown state-of-the-art performances in various computer vision tasks.
Sequential Feature Filtering Classifier
We propose Sequential Feature Filtering Classifier (FFC), a simple but effective classifier for convolutional neural networks (CNNs).
Deep Attentive Study Session Dropout Prediction in Mobile Learning Environment
First, we define the concept of the study session, study session dropout and study session dropout prediction task in a mobile learning environment.
