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

254 citations · 259 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023

Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks

Simin Li, Shuing Zhang, Gujun Chen +6

Physical world adversarial attack is a highly practical and threatening attack, which fools real world deep learning systems by generating conspicuous and maliciously crafted real…

cs.CV2023★ 1 cited

Wild Face Anti-Spoofing Challenge 2023: Benchmark and Results

Dong Wang, Jia Guo, Qiqi Shao +9

Face anti-spoofing (FAS) is an essential mechanism for safeguarding the integrity of automated face recognition systems. Despite substantial advancements, the generalization of exi…

cs.CV2021★ 1 cited

MOS: A Low Latency and Lightweight Framework for Face Detection, Landmark Localization, and Head Pose Estimation

Yepeng Liu, Zaiwang Gu, Shenghua Gao +3

With the emergence of service robots and surveillance cameras, dynamic face recognition (DFR) in wild has received much attention in recent years. Face detection and head pose esti…

cs.LG2021★ 3 cited

Voting for the right answer: Adversarial defense for speaker verification

Haibin Wu, Yang Zhang, Zhiyong Wu +2

Automatic speaker verification (ASV) is a well developed technology for biometric identification, and has been ubiquitous implemented in security-critic applications, such as banki…

cs.CV2021★ 254 cited

A Dataset And Benchmark Of Underwater Object Detection For Robot Picking

Chongwei Liu, Haojie Li, Shuchang Wang +4

Underwater object detection for robot picking has attracted a lot of interest. However, it is still an unsolved problem due to several challenges. We take steps towards making it m…