Real-Time Detection & Super-Resolution
YOLOv10 optimization and EDSR/LapSRN benchmarking for real-time inference and image super-resolution
Investigated YOLOv10 architecture advancements and optimized the model for real-time inference, achieving improved mAP/latency tradeoffs on benchmark datasets. Implemented and benchmarked EDSR and LapSRN super-resolution networks using PyTorch and OpenCV, analyzing perceptual and distortion performance on standard SR evaluation datasets.