CATNet VS YOLOv6

Compare CATNet vs YOLOv6 and see what are their differences.

CATNet

🛰️ Learning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing Images (TNNLS 2023) (by yeliudev)

YOLOv6

YOLOv6: a single-stage object detection framework dedicated to industrial applications. (by meituan)
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CATNet YOLOv6
1 11
51 5,498
- 1.5%
3.7 6.7
4 months ago 16 days ago
Python Jupyter Notebook
GNU General Public License v3.0 only GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

CATNet

Posts with mentions or reviews of CATNet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-29.

YOLOv6

Posts with mentions or reviews of YOLOv6. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-08.

What are some alternatives?

When comparing CATNet and YOLOv6 you can also consider the following projects:

yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

yolor - implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

yolov3 - YOLOv3 in PyTorch > ONNX > CoreML > TFLite

YOLOX - YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

keras-yolo3 - Training and Detecting Objects with YOLO3

yolov7 - Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

edgetpu-yolo - Minimal-dependency Yolov5 export and inference demonstration for the Google Coral EdgeTPU

edgetpu - Coral issue tracker (and legacy Edge TPU API source)

AYolov2

quickai - QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.