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Found 7 papers, 2 papers with code
NTIRE 2024 Quality Assessment of AI-Generated Content Challenge
A total of 196 participants have registered in the video track.
The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report
In sub-track 1, the practical runtime performance of the submissions was evaluated, and the corresponding score was used to determine the ranking.
Compressed image quality assessment using stacking
Moreover, the results of the Full-Reference (FR) and No-Reference (NR) models are aggregated to improve the proposed Full-Reference method for compressed image quality evaluation.
The effect of scene context on weakly supervised semantic segmentation
More specifically, some objects which are commonly seen in one specific scene (e. g. 'train' typically is seen on 'railroad track') are much more likely to be confused.
Weakly supervised Semantic Segmentation
Weakly-Supervised Semantic Segmentation
Learning Representative Temporal Features for Action Recognition
With this intuition, the processing of the 3-dimensional video input is broken to 1D in temporal dimension on top of the 2D in spatial.
A Unified Method for First and Third Person Action Recognition
The second stream is accomplished to extract appearance features which are vital in the case of video classification.
A Correlation Based Feature Representation for First-Person Activity Recognition
The per-frame (per-segment) extracted features are considered as a set of time series, and inter and intra-time series relations are employed to represent the video descriptors.
