Federated learning has become a popular method to learn from decentraliz...
Image-based 3D detection is an indispensable component of the perception...
Image-to-image (I2I) translation is a challenging topic in computer visi...
Video highlight detection is a crucial yet challenging problem that aims...
It has been found that temporal action proposal generation, which aims t...
Knowledge distillation (KD) has shown very promising capabilities in
tra...
Group activity recognition is a crucial yet challenging problem, whose c...
As a crucial task of autonomous driving, 3D object detection has made gr...
Electric city bus gains popularity in recent years for its low greenhous...
Reinforcement Learning (RL) is widely utilized in the field of robotics,...
A novel correction algorithm is proposed for multi-class classification
...
Connectionist Temporal Classification (CTC) and attention mechanism are ...
Dual-energy (DE) chest radiographs provide greater diagnostic informatio...