Discover Gaurav14cs17/Leetcode Open Source project

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Language
C++
License
MIT License
Created over 2 years ago
Updated about 2 years ago

Gaurav14cs17

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Simple recursive algorithms. Backtracking algorithms. Divide and conquer algorithms. Dynamic programming algorithms. Greedy algorithms. Branch and bound algorithms. Brute force algorithms. Randomized algorithms.

YOLOE

PP-YOLOE, an industrial state-of-the-art object detector with high performance and friendly deployment. We optimize on the basis of the previous PP-YOLOv2, using anchor-free paradigm, more powerful backbone and neck equipped with CSPRepResStage, ET-head and dynamic label assignment algorithm TAL.

Python

YOLOV6

YOLOv6 is a single-stage object detection framework dedicated to industrial applications, with hardware-friendly efficient design and high performance.

Python

YOLOX_pytorch

Python

Object-Localization-Network

Therefore, Author propose a classification-free Object Localization Network (OLN) which estimates the objectness of each region purely by how well the location and shape of a region overlap with any ground-truth object (e.g., centerness and IoU).

Python

Gaurav14cs17

PyTorch-Quantization

Quantization is the process of mapping continuous infinite values to a smaller set of discrete finite values. In the context of simulation and embedded computing, it is about approximating real-world values with a digital representation that introduces limits on the precision and range of a value

Python

Oriented-Object-Detection-in-Aerial-Images

Oriented object detection in aerial images is a challenging task as the objects in aerial images are displayed in arbitrary directions and are usually densely packed. Current oriented object detection methods mainly rely on twostage anchor-based detectors

Python

Gaurav14cs17/Leetcode

Gaurav14cs17

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