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Found 8 papers, 3 papers with code
A hybrid quantum-classical conditional generative adversarial network algorithm for human-centered paradigm in cloud
In order to solve these problems, a hybrid quantum-classical conditional generative adversarial network (QCGAN) algorithm is proposed, which is a knowledge-driven human-computer interaction computing mode that can be implemented in cloud.
The 3rd Anti-UAV Workshop & Challenge: Methods and Results
Second, we set up two tracks for the first time, i. e., Anti-UAV Tracking and Anti-UAV Detection & Tracking.
CNNArginineMe: A CNN structure for training models for predicting arginine methylation sites based on the One-Hot encoding of peptide sequence
The deep-learning model CNN combined with the One-Hot coding showed the best performance, dubbed CNNArginineMe.
LiftPool: Bidirectional ConvNet Pooling
Pooling is a critical operation in convolutional neural networks for increasing receptive fields and improving robustness to input variations.
TubeR: Tubelet Transformer for Video Action Detection
We propose TubeR: a simple solution for spatio-temporal video action detection.
Dance with Flow: Two-in-One Stream Action Detection
With only half the computation and parameters of the state-of-the-art two-stream methods, our two-in-one stream still achieves impressive results on UCF101-24, UCFSports and J-HMDB.
Ranked #1 on
Action Detection
on UCF Sports
(Video-mAP 0.5 metric)
Pixelated Semantic Colorization
We propose two ways to incorporate object semantics into the colorization model: through a pixelated semantic embedding and a pixelated semantic generator.
Pixel-level Semantics Guided Image Colorization
While many image colorization algorithms have recently shown the capability of producing plausible color versions from gray-scale photographs, they still suffer from the problems of context confusion and edge color bleeding.
