Dense Feature Aggregation and Pruning for RGBT Tracking
Work
Year: 2019
Type: preprint
Abstract: How to perform effective information fusion of different modalities is a core factor in boosting the performance of RGBT tracking. This paper presents a novel deep fusion algorithm based on the repres... more
Institution Anhui University
Cites: 58
Cited by: 164
Related to: 10
Citation percentile (by year/subfield): 99.98
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Sustainable Development Goal Partnerships for the goals
Open Access status: green
Funder Foundation for Innovative Research Groups of the National Natural Science Foundation of China
Grant ID 61860206004, 61702002, 61872005