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Found 4 papers, 1 papers with code
Depth Estimation and Image Restoration by Deep Learning from Defocused Images
Extensive experiments with 2HDED:NET on these benchmarks have demonstrated superior or close performances to those of the state-of-the-art models for depth estimation and image deblurring.
Real-Time Siamese Multiple Object Tracker with Enhanced Proposals
Maintaining the identity of multiple objects in real-time video is a challenging task, as it is not always feasible to run a detector on every frame.
Spatio-temporal Tubelet Feature Aggregation and Object Linking in Videos
Then, we aggregate RoI pooled deep features through the tubelet using a temporal pooling operator that summarizes the information with a fixed size output independent of the number of input frames.
Deep Learning-Based Multiple Object Visual Tracking on Embedded System for IoT and Mobile Edge Computing Applications
The results in terms of power consumption and frame rate demonstrate the feasibility of deep learning algorithms on embedded platforms although more effort to joint algorithm and hardware design of CNNs is needed.
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