AI BriefingLG AI Research ECCV 2022 Review
Key point
LG AI Research presented research achievements related to continual learning and scale-invariant networks at ECCV 2022.
Details
ECCV 2022, the most prestigious conference in the field of computer vision, was held in Tel Aviv, Israel. At this conference, Multimodal AI, NeRF-based 3D image generation, and Self-supervised Learning drew attention as major research trends.
LG AI Research's Vision Lab presented two papers in the poster session at this conference. The first is the DLCFT (Deep Linear Continual Fine-Tuning) methodology, which uses a Pre-trained model instead of the existing Scratch approach to continue learning across various situations, and the second is research that analyzes the relationship between the hyperparameters of a Scale-Invariant Network and Angular Update to propose an efficient tuning method.
Also introduced was research aimed at overcoming the limitations of Self-supervised Representation Learning, which has been drawing attention recently. While the existing approach had the inconvenience of having to train the Backbone and Classifier separately, the proposed research suggests a structure that trains both networks simultaneously using Bayes' theorem and the law of total probability, aiming to solve the performance degradation problem.
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