MoVie: Revisiting Modulated Convolutions for Visual Counting and Beyond

MoVie：重新考虑调制卷积在视觉计数及其他领域的应用.

Dilated-Scale-Aware Attention ConvNet For Multi-Class Object Counting

多类别目标计数的扩张尺度感知注意力卷积网络.

QLoRA: Efficient Finetuning of Quantized LLMs

QLoRA：量化大型语言模型的高效微调.

Zero-shot Improvement of Object Counting with CLIP

CLIP模型目标计数的零样本改进.

Teaching CLIP to Count to Ten

教CLIP模型从一数到十.

Can SAM Count Anything? An Empirical Study on SAM Counting

分割一切模型可以计数一切吗？分割一切模型计数的实验报告.