Eksplorasi makalah akademik, arsitektur sistem, dan implementasi kode.
# Bringing SAM to the Edge: Understanding MobileSAM and Decoupled Distillation The Segment Anything Model (SAM) changed the computer vision landscape...
# ConvNeXt: Modernizing ConvNets to Rival Vision Transformers For the past few years, the computer vision landscape has been dominated by the **Visio...
# Mastering Masked Autoencoders (MAE): Scalable Vision Learning via Asymmetric Reconstruction In the world of Natural Language Processing (NLP), Mask...
# Breaking the Bottleneck: Understanding YOLOv10’s NMS-Free Architecture For years, the YOLO (You Only Look Once) family has defined the state-of-the...
# Scaling Depth Estimation: A Deep Dive into Depth Anything Monocular Depth Estimation (MDE)—the task of predicting depth from a single RGB image—has...
# End-to-End Object Detection with Transformers: A Deep Dive into DETR Object detection has long been dominated by complex pipelines. For years, the...
# Beyond FLOPs: Mastering Hardware-Efficient CNNs with ShuffleNet V2 In the quest for mobile-ready deep learning, the industry has long relied on **F...
# Breaking the Quadratic Barrier: Understanding EdgeNeXt for Efficient Edge AI In the race to deploy powerful computer vision models on edge devices—...
# Mastering Spatial Control: A Deep Dive into ControlNet ![Header Image: A conceptual representation of a Diffusion Model being guided by a Canny edg...
# Beyond NeRF: Real-Time Radiance Fields with 3D Gaussian Splatting For years, Neural Radiance Fields (NeRFs) have captivated the computer vision com...