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Found 9 papers, 3 papers with code
A Comparative Analysis of Machine Learning and Grey Models
In this paper, a primer survey on the GML framework is provided for researchers.
Hard-sample Guided Hybrid Contrast Learning for Unsupervised Person Re-Identification
However, the previous approaches did not fully exploit information of hard samples, simply using cluster centroid or all instances for contrastive learning.
Construct Informative Triplet with Two-stage Hard-sample Generation
In this paper, we propose a robust sample generation scheme to construct informative triplets.
Transcoded Video Restoration by Temporal Spatial Auxiliary Network
In most video platforms, such as Youtube, and TikTok, the played videos usually have undergone multiple video encodings such as hardware encoding by recording devices, software encoding by video editing apps, and single/multiple video transcoding by video application servers.
NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results
The challenge is composed of two tracks with an emphasis on fidelity and complexity constraints: In Track 1, participants are asked to optimize objective fidelity scores while imposing a low-complexity constraint (i. e. solutions can not exceed a given number of operations).
Global Priors Guided Modulation Network for Joint Super-Resolution and Inverse Tone-Mapping
Joint super-resolution and inverse tone-mapping (SR-ITM) aims to enhance the visual quality of videos that have quality deficiencies in resolution and dynamic range.
AIM 2022 Challenge on Instagram Filter Removal: Methods and Results
This paper introduces the methods and the results of AIM 2022 challenge on Instagram Filter Removal.
SDRTV-to-HDRTV Conversion via Spatial-Temporal Feature Fusion
To evaluate the performance of the proposed method, we construct a corresponding multi-frame dataset using HDR video of the HDR10 standard to conduct a comprehensive evaluation of different methods.
Towards Robust SDRTV-to-HDRTV via Dual Inverse Degradation Network
In this study, we address the emerging necessity of converting Standard Dynamic Range Television (SDRTV) content into High Dynamic Range Television (HDRTV) in light of the limited number of native HDRTV content.
