hoya012/deep_learning_object_detection
A paper list of object detection using deep learning.
This resource provides a curated list of research papers focused on deep learning techniques for object detection. It helps researchers, students, and engineers understand the progression of this field, acting as a historical overview and a reference for different model architectures and their performance. You'll find a structured collection of academic papers, often with links to official or unofficial code implementations, helping you grasp key advancements.
11,418 stars. No commits in the last 6 months.
Use this if you are a researcher, student, or practitioner needing to quickly find relevant academic papers, understand the evolution, or compare the performance of different deep learning models for object detection.
Not ideal if you are looking for a practical, ready-to-use software library or a step-by-step tutorial for implementing object detection models.
Stars
11,418
Forks
2,765
Language
Python
License
—
Category
Last pushed
Feb 12, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/hoya012/deep_learning_object_detection"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
DeepTrackAI/DeepTrack2
DeepTrack2 is a modular Python library for generating, manipulating, and analyzing image data...
abhineet123/Deep-Learning-for-Tracking-and-Detection
Collection of papers, datasets, code and other resources for object tracking and detection using...
NVIDIA-ISAAC-ROS/isaac_ros_dnn_inference
NVIDIA-accelerated DNN model inference ROS 2 packages using NVIDIA Triton/TensorRT for both...
DagnyT/hardnet
Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor...
rafellerc/Pytorch-SiamFC
Pytorch implementation of "Fully-Convolutional Siamese Networks for Object Tracking"