Search Results for author:
Found 7 papers, 3 papers with code
Evidential Detection and Tracking Collaboration: New Problem, Benchmark and Algorithm for Robust Anti-UAV System
Still, previous works have simplified such an anti-UAV task as a tracking problem, where the prior information of UAVs is always provided; such a scheme fails in real-world anti-UAV tasks (i. e. complex scenes, indeterminate-appear and -reappear UAVs, and real-time UAV surveillance).
RGBD1K: A Large-scale Dataset and Benchmark for RGB-D Object Tracking
To demonstrate the benefits of training on a larger RGB-D data set in general, and RGBD1K in particular, we develop a transformer-based RGB-D tracker, named SPT, as a baseline for future visual object tracking studies using the new dataset.
Visual Object Tracking on Multi-modal RGB-D Videos: A Review
The development of visual object tracking has continued for decades.
Probability-Density-Based Deep Learning Paradigm for the Fuzzy Design of Functional Metastructures
In quantum mechanics, a norm squared wave function can be interpreted as the probability density that describes the likelihood of a particle to be measured in a given position or momentum.
Robust Visual Tracking via Implicit Low-Rank Constraints and Structural Color Histograms
With the guaranteed discrimination and efficiency of spatial appearance model, Discriminative Correlation Filters (DCF-) based tracking methods have achieved outstanding performance recently.
Adaptive Distraction Context Aware Tracking Based on Correlation Filter
In the response map obtained for the previous frame by the CF algorithm, we adaptively find the image blocks that are similar to the target and use them as negative samples.
Meta-neural-network for Realtime and Passive Deep-learning-based Object Recognition
Deep-learning recently show great success across disciplines yet conventionally require time-consuming computer processing or bulky-sized diffractive elements.
