Main page — MSU Benchmark Collection

The List of the Participants of the MSU Video Saliency Prediction Benchmark

Name Implementation Paper
ViNet Source Link
HD2S Source Link
TASED-Net Source Link
UNISAL Source Link
MSI-Net Source Link
DINet Source Link
STRA-Net Source Link
ACLNet Source Link
SalEMA Source Link
GASP Source Link
HFT Source*Since the original link to the source code was rotten,
it was moved to the laboratory's storage		 Link
DeepVS Source Link
GBVS Source Link
ITTI Source Link
08 Nov 2023
See Also
MSU Image- and video-quality metrics analysis
Description of a project in MSU Graphics and Media Laboratory
Learning-Based Image Compression Benchmark
Super-Resolution Quality Metrics Benchmark
Discover 66 Super-Resolution Quality Metrics and choose the most appropriate for your videos
Video Saliency Prediction Benchmark
Explore the best video saliency prediction (VSP) algorithms
Super-Resolution for Video Compression Benchmark
Learn about the best SR methods for compressed videos and choose the best model to use with your codec
Metrics Robustness Benchmark
Check your image or video quality metric for robustness to adversarial attacks
Site structure
MSU Graphics & Media Lab Video Group
2019–2022