128 citations · 234 across the 14 of their papers we have counts for
5 papers · 1 filter
Cross-head Supervision for Crowd Counting with Noisy Annotations
Mingliang Dai, Zhizhong Huang, Jiaqi Gao +2
Noisy annotations such as missing annotations and location shifts often exist in crowd counting datasets due to multi-scale head sizes, high occlusion, etc. These noisy annotations…
Forget Less, Count Better: A Domain-Incremental Self-Distillation Learning Benchmark for Lifelong Crowd Counting
Jiaqi Gao, Jingqi Li, Hongming Shan +4
Crowd counting has important applications in public safety and pandemic control. A robust and practical crowd counting system has to be capable of continuously learning with the ne…
Learning Representation for Clustering via Prototype Scattering and Positive Sampling
Zhizhong Huang, Jie Chen, Junping Zhang +1
Existing deep clustering methods rely on either contrastive or non-contrastive representation learning for downstream clustering task. Contrastive-based methods thanks to negative…
Precipitation Nowcasting with Star-Bridge Networks
Yuan Cao, Qiuying Li, Hongming Shan +4
Precipitation nowcasting, which aims to precisely predict the short-term rainfall intensity of a local region, is gaining increasing attention in the artificial intelligence commun…
The Automatic Identification of Butterfly Species
Juanying Xie, Qi Hou, Yinghuan Shi +6
The available butterfly data sets comprise a few limited species, and the images in the data sets are always standard patterns without the images of butterflies in their living env…