Rahul Mandlik

HyMTAS-GBM: Integrating Semantic Convolutions and Multi-Head Attention with Gradient Boosting for Robust Object Detection

Object detection in complex scenes requires models that can maintain precise spatial attention and reliable query representations. However, existing CNN and DETR-based detectors often exhibit diffuse cross-attention, weak query initialization, and limited robustness in cluttered or dynamic environments. This paper prop...