Research is being conducted on defect detection methods using various techniques, including YOLO-DCF, a dual distillation and context-aware fusion approach. Other methods being explored involve hierarchical depth awareness, dynamic large separable kernel attention, and multi-scale feature bi-directional path aggregation. The applications of these methods appear to be diverse, ranging from metal surface and smartphone screen defect detection to weld defect detection in X-ray images.