3 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.MM2023
AMD: Autoregressive Motion Diffusion
Bo Han, Hao Peng, Minjing Dong +3
Human motion generation aims to produce plausible human motion sequences according to various conditional inputs, such as text or audio. Despite the feasibility of existing methods…
cs.CV2023★ 3 cited
Exploit CAM by itself: Complementary Learning System for Weakly Supervised Semantic Segmentation
Jiren Mai, Fei Zhang, Junjie Ye +5
Weakly Supervised Semantic Segmentation (WSSS) with image-level labels has long been suffering from fragmentary object regions led by Class Activation Map (CAM), which is incapable…
cs.LG2023★ 2 cited
Federated Semi-Supervised Learning with Annotation Heterogeneity
Xinyi Shang, Gang Huang, Yang Lu +4
Federated Semi-Supervised Learning (FSSL) aims to learn a global model from different clients in an environment with both labeled and unlabeled data. Most of the existing FSSL work…