Researchers are exploring various methods for efficient crowd counting, including offset-decoupled deformable convolution and multiscale regional calibration networks. Other approaches being investigated involve maskformer efficientnet instance segmentation and modular convolutional neural networks. The different methods being developed aim to improve crowd counting in images.