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20182022
most citedA Dataset And Benchmark Of Underwater Object Detection For Robot Picking

254 citations · 665 across the 21 of their papers we have counts for

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Showing 2020Show all

7 papers · 1 filter

cs.CV2020

Full Matching on Low Resolution for Disparity Estimation

Hong Zhang, Shenglun Chen, Zhihui Wang +2

A Multistage Full Matching disparity estimation scheme (MFM) is proposed in this work. We demonstrate that decouple all similarity scores directly from the low-resolution 4D volume…

cs.CV2020★ 1 cited

Direct Depth Learning Network for Stereo Matching

Hong Zhang, Haojie Li, Shenglun Chen +4

Being a crucial task of autonomous driving, Stereo matching has made great progress in recent years. Existing stereo matching methods estimate disparity instead of depth. They trea…

cs.LG2020★ 19 cited

Rethink Maximum Mean Discrepancy for Domain Adaptation

Wei Wang, Haojie Li, Zhengming Ding +1

Existing domain adaptation methods aim to reduce the distributional difference between the source and target domains and respect their specific discriminative information, by estab…

cs.CV2020★ 2 cited

Location-Aware Feature Selection Text Detection Network

Zengyuan Guo, Zilin Wang, Zhihui Wang +3

Regression-based text detection methods have already achieved promising performances with simple network structure and high efficiency. However, they are behind in accuracy compari…

cs.CV2020★ 1 cited

Sparsely-Labeled Source Assisted Domain Adaptation

Wei Wang, Zhihui Wang, Yuankai Xiang +4

Domain Adaptation (DA) aims to generalize the classifier learned from the source domain to the target domain. Existing DA methods usually assume that rich labels could be available…

cs.CV2020★ 3 cited

CPM R-CNN: Calibrating Point-guided Misalignment in Object Detection

Bin Zhu, Qing Song, Lu Yang +3

In object detection, offset-guided and point-guided regression dominate anchor-based and anchor-free method separately. Recently, point-guided approach is introduced to anchor-base…

cs.CV2020★ 129 cited

A New Dataset, Poisson GAN and AquaNet for Underwater Object Grabbing

Chongwei Liu, Zhihui Wang, Shijie Wang +6

To boost the object grabbing capability of underwater robots for open-sea farming, we propose a new dataset (UDD) consisting of three categories (seacucumber, seaurchin, and scallo…