5 citations · 6 across the 2 of their papers we have counts for
4 papers
Normalization Perturbation: A Simple Domain Generalization Method for Real-World Domain Shifts
Qi Fan, Mattia Segu, Yu-Wing Tai +4
Improving model's generalizability against domain shifts is crucial, especially for safety-critical applications such as autonomous driving. Real-world domain styles can vary subst…
Group Collaborative Learning for Co-Salient Object Detection
Qi Fan, Deng-Ping Fan, Huazhu Fu +3
We present a novel group collaborative learning framework (GCoNet) capable of detecting co-salient objects in real time (16ms), by simultaneously mining consensus representations a…
Commonality-Parsing Network across Shape and Appearance for Partially Supervised Instance Segmentation
Qi Fan, Lei Ke, Wenjie Pei +2
Partially supervised instance segmentation aims to perform learning on limited mask-annotated categories of data thus eliminating expensive and exhaustive mask annotation. The lear…
Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector
Qi Fan, Wei Zhuo, Chi-Keung Tang +1
Conventional methods for object detection typically require a substantial amount of training data and preparing such high-quality training data is very labor-intensive. In this pap…