Deep learning based medical image recognition systems often require a
su...
This paper investigates the impact of big data on deep learning models f...
Elastic geophysical properties (such as P- and S-wave velocities) are of...
The top-down and bottom-up methods are two mainstreams of referring
segm...
Text-video retrieval is a challenging cross-modal task, which aims to al...
Contrastive learning-based video-language representation learning approa...
Interactive segmentation enables users to segment as needed by providing...
Existing text-video retrieval solutions are, in essence, discriminant mo...
Unified visual grounding pursues a simple and generic technical route to...
Most video-and-language representation learning approaches employ contra...
Inversion techniques are widely used to reconstruct subsurface physical
...
Multi-physical inversion plays a critical role in geophysics. It has bee...
We present OpenFWI, a collection of large-scale open-source benchmark
da...
This paper investigates unsupervised learning of Full-Waveform Inversion...
Formally verifying Deep Reinforcement Learning (DRL) systems is a challe...
Manual traffic surveillance can be a daunting task as Traffic Management...
The goal of unconditional text generation is training a model with real
...
We propose a novel mechanism to improve a text generator with a
discrimi...
We propose a novel mechanism to improve a text generator with a
discrimi...
Automated pavement distresses detection using road images remains a
chal...
Generative adversarial nets (GAN) has been successfully introduced for
g...