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Found 8 papers, 3 papers with code
Early Action Recognition with Action Prototypes
For example, on early recognition observing only the first 10% of each video, our method improves the SOTA by +2. 23 Top-1 accuracy on Something-Something-v2, +3. 55 on UCF-101, +3. 68 on SSsub21, and +5. 03 on EPIC-Kitchens-55, where prior work used either multi-modal inputs (e. g. optical-flow) or batched inference.
Distilling Knowledge for Short-to-Long Term Trajectory Prediction
Long-term trajectory forecasting is an important and challenging problem in the fields of computer vision, machine learning, and robotics.
TAMFormer: Multi-Modal Transformer with Learned Attention Mask for Early Intent Prediction
Human intention prediction is a growing area of research where an activity in a video has to be anticipated by a vision-based system.
Where are my Neighbors? Exploiting Patches Relations in Self-Supervised Vision Transformer
Vision Transformers (ViTs) enabled the use of the transformer architecture on vision tasks showing impressive performances when trained on big datasets.
SlowFast Rolling-Unrolling LSTMs for Action Anticipation in Egocentric Videos
Action anticipation in egocentric videos is a difficult task due to the inherently multi-modal nature of human actions.
Conditional Variational Capsule Network for Open Set Recognition
In this way, we are able to control the compactness of the features of the same class around the center of the gaussians, thus controlling the ability of the classifier in detecting samples from unknown classes.
Improved Robustness to Disfluencies in RNN-Transducer Based Speech Recognition
Automatic Speech Recognition (ASR) based on Recurrent Neural Network Transducers (RNN-T) is gaining interest in the speech community.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Knowledge Distillation for Action Anticipation via Label Smoothing
Since multiple actions may equally occur in the future, we treat action anticipation as a multi-label problem with missing labels extending the concept of label smoothing.
