Few-shot video classification aims to learn new video categories with on...
Scene graph generation is an important visual understanding task with a ...
Despite the recent success of deep neural networks, it remains challengi...
Attention-based models have made tremendous progress on end-to-end autom...
Few-shot semantic segmentation aims to learn to segment new object class...
Establishing semantic correspondence is a core problem in computer visio...
Capturing long-range dependencies in feature representations is crucial ...
Deep learning (DL) advances state-of-the-art reinforcement learning (RL)...