下载地址: 通过网盘分享的文件:【资源】Large Scale Facial Model (LSFM) 链接:https://pan.baidu.com/s/1QwqFnuv-zAdlHLudW6tp1A?pwd=dr94 提取码: dr94 --来自百度网盘超级会员v4的分享 Large Scale Facial Model (LSFM) ├─ LSFM_Pipeline │ ├─ .gitignore │ ├─ BFM_mean.png │ ├─ LSF...
We propose a novel approach to address this gap by developing a large-scale 3D INfant FACE model (INFACE) using a diverse set of face scans. By harnessing uncontrolled and incomplete data, INFACE surpasses previous efforts in both scale and accessibility. Notably, it represents the first ...
BJUT-3D face database.This algorithm chooses face surface property and the principle component of relative relation matrix as the face representation features... 孙艳丰,唐恒亮,尹宝才 - 《自动化学报》 被引量: 57发表: 2008年 The BJUT-3D Large-Scale Chinese Face Database The BJUT-3D Large-Scale...
例如,它们在文本聚类中变得越来越重要。在 [21] 中,作者提出了一种在线聚类方法,用于按主题对来自社交网络的数据流进行分组,使用的相似性度量同时考虑了聚类年龄和使用的术语。 Yin 和 Wang [22] 提出了另一种文本聚类方法,假设聚类数量未知,但低于最大值。在线聚类算法也被用于无监督表示学习[23],其中聚类质心...
To solve this large scale face recognition problem, a Multi-Cognition Softmax Model (MCSM) is proposed to distribute training data to several cognition units by a data shuffling strategy. Here we introduce one cognition unit as a group of independent softmax models, which is designed to ...
🔥🔥🔥VITA: Towards Open-Source Interactive Omni Multimodal LLM [📽 VITA-1.5 Demo Show! Here We Go! 🔥] [📖 VITA-1.5 Paper (Comming Soon)] [🌟 GitHub] [🤗 Hugging Face] [🍎 VITA-1.0] [💬 WeChat (微信)] We are excited to introduce theVITA-1.5, a more powerful and...
2.3 Large-scale Classification 大规模分类的目的是对大量的类进行分类,其中类的数量达到数百万或数千万。这一任务为深度学习提出了一个大问题:由于参数大小和计算成本过高,不能采用常见的softmax loss。Megaface挑战赛[13]提出了四种方法来在有670k个身份的数据上训练模型。Model-A通过softmax在随机的20,000个身份...
Supervised learning is not scalable because manual annotation of large-scale training data is time-consuming, costly, and even infeasible. Instance discrimination method (e.g., CLIP) can hardly encode the semantic structure of training data, because instance-wise contrastive learning always treats two...
Affordable, fast, and accurate training of large-scale models Compressed training with Progressive Layer Dropping: 2.5x faster training, no accuracy loss DeepSpeed now offers compressed training, which accelerates training of Transformer networks by sparsely updating model ...
Large-scale model test on square box culvert backfilled with sand. Technical note : Dasgupta, A; Sengupta, B J Geotech Engng Div ASCEV117, N1, Jan 1991, P1... None 被引量: 0发表: 1991年 Large-scale model test on square box culvert backfilled with sand. Technical note: Dasgupta, A...