4 accepted papers
Lane detection methods based on anchors have received increasing attention, but fixed-shape anchors make it difficult to model complex lane line shapes. To solve this problem, we propose an Enhanced Curve Perception Network (ECPNet). Specifically, we propose a Layer-by-layer Context Fusion (LCF) mod…
Video summarization intends to automatically select meaningful segments from untrimmed videos. Although previous efforts have achieved remarkable progress, they still struggle to robustly aggregate and effectively process multi-granularity contextual information within videos, which hinders understa…
Current video saliency prediction methods have made great progress relying on the feature extraction capability of CNN, but there are still many defects in hierarchical feature fusion, limiting the further improvement of accuracy. To address this issue, we propose a 3D convolutional Hierarchical Spa…
Learning fine-grained features is crucial to the performance improvement of person re-identification (Re-ID). Although existing methods have made significant progress, utilizing multi-level information to obtain fine-grained features has not been explored in this field. To alleviate this issue, we p…