5 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 5 cited
Wavelet-Decoupling Contrastive Enhancement Network for Fine-Grained Skeleton-Based Action Recognition
Haochen Chang, Jing Chen, Yilin Li +2
Skeleton-based action recognition has attracted much attention, benefiting from its succinctness and robustness. However, the minimal inter-class variation in similar action sequen…
cs.CV2023
Efficient Remote Sensing Segmentation With Generative Adversarial Transformer
Luyi Qiu, Dayu Yu, Xiaofeng Zhang +1
Most deep learning methods that achieve high segmentation accuracy require deep network architectures that are too heavy and complex to run on embedded devices with limited storage…
eess.IV2023
Recyclable Semi-supervised Method Based on Multi-model Ensemble for Video Scene Parsing
Biao Wu, Shaoli Liu, Diankai Zhang +4
Pixel-level Scene Understanding is one of the fundamental problems in computer vision, which aims at recognizing object classes, masks and semantics of each pixel in the given imag…