Knowledge distillation (KD) has shown potential for learning compact mod...
Although the impressive performance in visual grounding, the prevailing
...
Various attribution methods have been developed to explain deep neural
n...
Solid results from Transformers have made them prevailing architectures ...
A thriving trend for domain adaptive segmentation endeavors to generate ...
This paper introduces a post-training quantization (PTQ) method achievin...
In this paper we propose a novel decomposition method based on filter gr...