Image restoration aims to reconstruct degraded images, e.g., denoising o...
Open-world instance segmentation has recently gained significant
popular...
Multi-label chest X-ray (CXR) recognition involves simultaneously diagno...
In order to get raw images of high quality for downstream Image Signal
P...
MeanShift algorithm has been widely used in tracking tasks because of it...
The performance of nighttime semantic segmentation is restricted by the ...
Off-the-shelf single-stage multi-person pose regression methods generall...
Multi-person pose estimation methods generally follow top-down and botto...
Knowledge distillation is an effective approach to leverage a well-train...
Discrete optimization is one of the most intractable problems in deep
ha...
The vast majority of research in computer assisted medical coding focuse...
To improve the discriminative and generalization ability of lightweight
...
In this paper, we propose a novel network design mechanism for efficient...
Face manipulation has shown remarkable advances with the flourish of
Gen...
Deep supervised hashing has become an active topic in web search and
inf...