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Found 3 papers, 1 papers with code
CFNet: Conditional Filter Learning with Dynamic Noise Estimation for Real Image Denoising
A mainstream type of the state of the arts (SOTAs) based on convolutional neural network (CNN) for real image denoising contains two sub-problems, i. e., noise estimation and non-blind denoising.
Anomaly Detection in Video Sequences: A Benchmark and Computational Model
2) It provides the annotation data, including video-level labels (abnormal/normal video, anomaly type) and frame-level labels (abnormal/normal video frame) to facilitate anomaly detection.
Optimizing Region Selection for Weakly Supervised Object Detection
This region selection procedure is further integrated into a CNN-based weakly supervised detection (WSD) framework, and can be performed in each stochastic gradient descent mini-batch during training.
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