10 citations · 22 across the 9 of their papers we have counts for
14 papers
T-SEA: Transfer-based Self-Ensemble Attack on Object Detection
Hao Huang, Ziyan Chen, Huanran Chen +2
Compared to query-based black-box attacks, transfer-based black-box attacks do not require any information of the attacked models, which ensures their secrecy. However, most existi…
Benchmarking the Robustness of LiDAR-Camera Fusion for 3D Object Detection
Kaicheng Yu, Tang Tao, Hongwei Xie +10
There are two critical sensors for 3D perception in autonomous driving, the camera and the LiDAR. The camera provides rich semantic information such as color, texture, and the LiDA…
IterVM: Iterative Vision Modeling Module for Scene Text Recognition
Xiaojie Chu, Yongtao Wang
Scene text recognition (STR) is a challenging problem due to the imperfect imagery conditions in natural images. State-of-the-art methods utilize both visual cues and linguistic kn…
Training Protocol Matters: Towards Accurate Scene Text Recognition via Training Protocol Searching
Xiaojie Chu, Yongtao Wang, Chunhua Shen +2
The development of scene text recognition (STR) in the era of deep learning has been mainly focused on novel architectures of STR models. However, training protocol (i.e., settings…
RPATTACK: Refined Patch Attack on General Object Detectors
Hao Huang, Yongtao Wang, Zhaoyu Chen +3
Nowadays, general object detectors like YOLO and Faster R-CNN as well as their variants are widely exploited in many applications. Many works have revealed that these detectors are…
OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection
Tingting Liang, Yongtao Wang, Zhi Tang +2
Recently, neural architecture search (NAS) has been exploited to design feature pyramid networks (FPNs) and achieved promising results for visual object detection. Encouraged by th…