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Found 4 papers, 2 papers with code
LSTFE-Net:Long Short-Term Feature Enhancement Network for Video Small Object Detection
We find that context information from the long-term frame and temporal information from the short-term frame are two useful cues for video small object detection.
Cross-domain heterogeneous residual network for single image super-resolution
Single image super-resolution is an ill-posed problem, whose purpose is to acquire a high-resolution image from its degraded observation.
ANOMALY DETECTION WITH FRAME-GROUP ATTENTION IN SURVEILLANCE VIDEOS
The paper proposes an end-to-end abnormal behavior detection network to detect strenuous movements in slow moving crowds, such as running, bicycling, throwing from a height.
CONTEXT AUGMENTATION AND FEATURE REFINEMENT NETWORK FOR TINY OBJECT DETECTION
A new feature pyramid network is proposed to combine context augmentation and feature refinement.
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