Pre-training has emerged as an effective technique for learning powerful...
Since the fully convolutional network has achieved great success in sema...
Predicting the future motion of road participants is crucial for autonom...
Face manipulation techniques develop rapidly and arouse widespread publi...
The fully convolutional network (FCN) has achieved tremendous success in...
We present an efficient high-resolution network, Lite-HRNet, for human p...
Non-local operation is widely explored to model the long-range dependenc...
The low-level details and high-level semantics are both essential to the...
Recent works have widely explored the contextual dependencies to achieve...
In semantic segmentation, most existing real-time deep models trained wi...
We propose a Generative Transfer Network (GTNet) for zero shot object
de...
Panoptic segmentation, which needs to assign a category label to each pi...
Semantic segmentation requires both rich spatial information and sizeabl...
Most existing methods of semantic segmentation still suffer from two asp...