In this paper, we build a novel framework named GaTector to tackle the gaze object prediction problem in a unified way.
Specifically, the ability of using mask prior to help detect objects is learned from base categories and transferred to novel categories.
So we focus on how to use the standard offline influence maximization oracle which finds the best seed set given the edge parameters as input.
Vision transformers (ViTs) have recently received explosive popularity, but the huge computational cost is still a severe issue.
Ranked #1 on Image Classification on
Our IMS algorithms enhance the learning-and-then-optimization approach by allowing a constant approximation ratio even when the diffusion parameters are hard to learn, and we do not need any assumption related to the network structure or diffusion parameters.
no code implementations • 8 Mar 2021 • Tian Meng, Yang Tao, Ziqi Chen, Jorge R. Salas Avila, Qiaoye Ran, Yuchun Shao, Ruochen Huang, Yuedong Xie, Qian Zhao, Zhijie Zhang, Hujun Yin, Anthony J. Peyton, Wuliang Yin
Eddy current testing (ECT) is an effective technique in the evaluation of the depth of metal surface defects.
In this paper, we are the first to study training from scratch an N:M fine-grained structured sparse network, which can maintain the advantages of both unstructured fine-grained sparsity and structured coarse-grained sparsity simultaneously on specifically designed GPUs.
The bottom-up and top-down inferences explicitly model the compositional and decompositional relations in human bodies, respectively.
Segmentation is a fundamental task in medical image analysis.
Ranked #1 on Lung Nodule Segmentation on LUNA (mIoU metric)