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20142021
most citedDeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection

571 citations · 1.7k across the 41 of their papers we have counts for

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Showing 2020 · cs.CVShow all

9 papers · 2 filters

cs.CV2020★ 3 cited

TextRay: Contour-based Geometric Modeling for Arbitrary-shaped Scene Text Detection

Fangfang Wang, Yifeng Chen, Fei Wu +1

Arbitrary-shaped text detection is a challenging task due to the complex geometric layouts of texts such as large aspect ratios, various scales, random rotations and curve shapes.…

cs.CV2020★ 42 cited

Multitask Non-Autoregressive Model for Human Motion Prediction

Bin Li, Jian Tian, Zhongfei Zhang +2

Human motion prediction, which aims at predicting future human skeletons given the past ones, is a typical sequence-to-sequence problem. Therefore, extensive efforts have been cont…

cs.CV2020★ 5 cited

A Survey on Generative Adversarial Networks: Variants, Applications, and Training

Abdul Jabbar, Xi Li, Bourahla Omar

The Generative Models have gained considerable attention in the field of unsupervised learning via a new and practical framework called Generative Adversarial Networks (GAN) due to…

cs.CV2020★ 20 cited

MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot Class-Incremental Learning

Hanbin Zhao, Yongjian Fu, Mintong Kang +3

As a challenging problem, few-shot class-incremental learning (FSCIL) continually learns a sequence of tasks, confronting the dilemma between slow forgetting of old knowledge and f…

cs.CV2020

Tamed Warping Network for High-Resolution Semantic Video Segmentation

Songyuan Li, Junyi Feng, Xi Li

Recent approaches for fast semantic video segmentation have reduced redundancy by warping feature maps across adjacent frames, greatly speeding up the inference phase. However, the…

cs.CV2020★ 36 cited

Semantic Neighborhood-Aware Deep Facial Expression Recognition

Yongjian Fu, Xintian Wu, Xi Li +2

Different from many other attributes, facial expression can change in a continuous way, and therefore, a slight semantic change of input should also lead to the output fluctuation…