15 citations · 21 across the 6 of their papers we have counts for
3 papers
cs.CV2022★ 1 cited
Modality-Aware Contrastive Instance Learning with Self-Distillation for Weakly-Supervised Audio-Visual Violence Detection
Jiashuo Yu, Jinyu Liu, Ying Cheng +2
Weakly-supervised audio-visual violence detection aims to distinguish snippets containing multimodal violence events with video-level labels. Many prior works perform audio-visual…
eess.IV2022★ 4 cited
FDVTS's Solution for 2nd COV19D Competition on COVID-19 Detection and Severity Analysis
Junlin Hou, Jilan Xu, Rui Feng +1
This paper presents our solution for the 2nd COVID-19 Competition, occurring in the framework of the AIMIA Workshop in the European Conference on Computer Vision (ECCV 2022). In ou…
cs.LG2021★ 15 cited
Simple and Robust Loss Design for Multi-Label Learning with Missing Labels
Youcai Zhang, Yuhao Cheng, Xinyu Huang +4
Multi-label learning in the presence of missing labels (MLML) is a challenging problem. Existing methods mainly focus on the design of network structures or training schemes, which…