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cs.CV2024
MCGAN: Enhancing GAN Training with Regression-Based Generator Loss
Baoren Xiao, Hao Ni, Weixin Yang
Generative adversarial networks (GANs) have emerged as a powerful tool for generating high-fidelity data. However, the main bottleneck of existing approaches is the lack of supervi…
cs.CV2024★ 4 cited
GCN-DevLSTM: Path Development for Skeleton-Based Action Recognition
Lei Jiang, Weixin Yang, Xin Zhang +1
Skeleton-based action recognition (SAR) in videos is an important but challenging task in computer vision. The recent state-of-the-art (SOTA) models for SAR are primarily based on…