Rethinking of Feature Interaction for Multi-task Learning on Dense Prediction

no code implementations • 21 Dec 2023 • Jingdong Zhang, Jiayuan Fan, Peng Ye, Bo Zhang, Hancheng Ye, Baopu Li, Yancheng Cai, Tao Chen

In this work, we propose to learn a comprehensive intermediate feature globally from both task-generic and task-specific features, we reveal an important fact that this intermediate feature, namely the bridge feature, is a good solution to the above issues.

Multi-Task Learning

Rethinking Cross-Domain Pedestrian Detection: A Background-Focused Distribution Alignment Framework for Instance-Free One-Stage Detectors

1 code implementation • 15 Sep 2023 • Yancheng Cai, Bo Zhang, Baopu Li, Tao Chen, Hongliang Yan, Jingdong Zhang, Jiahao Xu

Therefore, we focus on cross-domain background feature alignment while minimizing the influence of foreground features on the cross-domain alignment stage.

Pedestrian Detection

LoTE-Animal: A Long Time-span Dataset for Endangered Animal Behavior Understanding

no code implementations • ICCV 2023 • Dan Liu, Jin Hou, Shaoli Huang, Jing Liu, Yuxin He, Bochuan Zheng, Jifeng Ning, Jingdong Zhang

To break the deadlock, we present LoTE-Animal, a large-scale endangered animal dataset collected over 12 years, to foster the application of deep learning in rare species conservation.

Action Recognition Domain Adaptation +5

Neural Stochastic Control

1 code implementation • 15 Sep 2022 • Jingdong Zhang, Qunxi Zhu, Wei Lin

These two stochastic controllers thus are complementary in applications.