Awesome Crowd Counting: note

【腾讯文档】SICC-Survey https://docs.qq.com/sheet/DT3BlU3RrUmpvSklo?tab=BB08J2

(Paper list is from awesome-crowd-counting)

Awesome-Class-Agnostic-Counting

Paper list and performance comparison for CAC (Class Agnostic Counting)

Papers (latest first)

• [LOCA] A Low-Shot Object Counting Network With Iterative Prototype Adaptation [paper]
• [SPDCN, BMVC22] Scale-Prior Deformable Convolution for Exemplar-Guided Class-Agnostic Counting [paper]
• [CounTR, BMVC22] CounTR: Transformer-based Generalised Visual Counting [paper]
• [RCC] Learning to Count Anything: Reference-less Class-agnostic Counting with Weak Supervision [paper] [code]
• [RepRPN-Counter] Exemplar Free Class Agnostic Counting [paper] (Ranjan)
• [SAFECount, WACV23] Few-shot Object Counting with Similarity-Aware Feature Enhancement [paper]
• [Counting-DETR, ECCV22] Few-shot Object Counting and Detection [paper]
• [LaoNet] OBJECT COUNTING: YOU ONLY NEED TO LOOK AT ONE [paper]
• [BMNet, CVPR22] Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting [paper] [code]
• [VCN, CVPRW22] Vicinal Counting Networks [paper] (Ranjan)
• [FamNet, CVPR21] Learning To Count Everything [paper] [code] (Ranjan)
• [CFOCNet, WACV21] Class-agnostic Few-shot Object Counting [paper]
• [GMN, ACCV18] Class-Agnostic Counting [paper]

Experiment Comparison (latest last)

[comparison in notion]