4 citations · 6 across the 5 of their papers we have counts for
5 papers
Improving Hierarchical Representations of Vectorized HD Maps with Perspective Clues
Chi Zhang, Qi Song, Feifei Li +2
The construction of vectorized High-Definition (HD) maps from onboard surround-view cameras has become a significant focus in autonomous driving. However, current map vector estima…
Learning More Discriminative Local Descriptors for Few-shot Learning
Qijun Song, Siyun Zhou, Liwei Xu
Few-shot learning for image classification comes up as a hot topic in computer vision, which aims at fast learning from a limited number of labeled images and generalize over the n…
Fully Attentional Network for Semantic Segmentation
Qi Song, Jie Li, Chenghong Li +2
Recent non-local self-attention methods have proven to be effective in capturing long-range dependencies for semantic segmentation. These methods usually form a similarity map of R…
Denoised Non-Local Neural Network for Semantic Segmentation
Qi Song, Jie Li, Hao Guo +1
The non-local network has become a widely used technique for semantic segmentation, which computes an attention map to measure the relationships of each pixel pair. However, most o…
AttaNet: Attention-Augmented Network for Fast and Accurate Scene Parsing
Qi Song, Kangfu Mei, Rui Huang
Two factors have proven to be very important to the performance of semantic segmentation models: global context and multi-level semantics. However, generating features that capture…