Typically, object detection methods for autonomous driving that rely on
...
Detecting adversarial samples that are carefully crafted to fool the mod...
Adversarial training is one of the best-performing methods in improving ...
Deep learning-based intelligent vehicle perception has been developing
p...
Existing models for named entity recognition (NER) are mainly based on
l...
Passage ranking involves two stages: passage retrieval and passage
re-ra...
Vision-language alignment learning for video-text retrieval arouses a lo...
Deep learning has been widely used in the perception (e.g., 3D object
de...
Event extraction (EE) is crucial to downstream tasks such as new aggrega...
Most object detection methods for autonomous driving usually assume a
co...
Visual question answering is an important task in both natural language ...
The objective of image outpainting is to extend image current border and...
Inter-personal relationship is the basis of human society. In order to
a...
In this paper we study grasp problem in dense cluster, a challenging tas...
Robotic grasp detection is a fundamental capability for intelligent
mani...
Though neural networks have achieved much progress in various applicatio...
This paper focuses on robotic picking tasks in cluttered scenario. Becau...
Image-level feature descriptors obtained from convolutional neural netwo...
Image-level feature descriptors obtained from convolutional neural netwo...