SUMIN PARK
SUMIN PARK

Interested in Geometric Deep Neural Networks and Their Phyiscal Applications

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  • ALL (180)
  • PAPERS
    Convolutional Neural Networks (6) Transformer (3) Optimization (2) Representation (1) Object Detection (5) Generative Models (1) Graph Neural Networks (10)
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[Paper Review & Partial Implementation] YOLOv4: Optimal Speed and Accuracy of Object Detection (YOLOv4, 2020)

Outlines Reference YOLO v4 : Designing the Optimal Model BackBone : CSPDarkNet 53 Neck :...

2023, Jul 07   —  25 minute read

[Paper Review] Path Aggregation Network for Instance Segmentation (PANet, 2018)

Outlines Reference Architecture of Path Aggregation Network (PANet) Figure 1.(b) Bottom-Up Path Augmentation Figure 1.(c)...

2023, Jul 05   —  5 minute read

[Paper Review] Feature Pyramid Networks for Object Detection (FPN, 2017)

Outlines Reference Motivation : Detecting Objects at Multiple Scales Previous Works for Representing Multi-Scale Features...

2023, Jun 30   —  6 minute read

[Paper Review & Implementation] You Only Look Once: Unified, Real-Time Object Detection (YOLOv1, 2016)

Outlines Reference Implementation with PyTorch YOLO : Single-State Object Detection YOLOv1 Backbone Architecture : Feature...

2023, Jun 27   —  27 minute read

[Paper Review & Implementation] Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks (Faster R-CNN, 2015)

Outlines Reference Faster R-CNN vs Fast R-CNN vs R-CNN Step By Step Implementation of Faster...

2023, Jun 21   —  26 minute read