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Found 6 papers, 2 papers with code
Learn from Balance: Rectifying Knowledge Transfer for Long-Tailed Scenarios
Consequently, the teacher network can provide balanced and accurate knowledge to train a reliable student network.
Beyond Alignment: Blind Video Face Restoration via Parsing-Guided Temporal-Coherent Transformer
Multiple complex degradations are coupled in low-quality video faces in the real world.
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.
Salient Object Detection via Bounding-box Supervision
However, as a large amount of background is excluded, the foreground bounding box region contains a less complex background, making it possible to perform handcrafted features-based saliency detection with only the cropped foreground region.
A Comparative Analysis of Machine Learning and Grey Models
In this paper, a primer survey on the GML framework is provided for researchers.
Revisiting the Loss Weight Adjustment in Object Detection
However, classification loss always dominates the multi-task loss in anchor-based methods, hampering the consistent and balanced optimization of the tasks.
