SegGradCAM
SEG-GRAD-CAM: Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping (by kiraving)
super-gradients
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS. (by Deci-AI)
| SegGradCAM | super-gradients | |
|---|---|---|
| 1 | 8 | |
| 94 | 4,343 | |
| - | 1.6% | |
| 4.2 | 9.5 | |
| 8 months ago | 2 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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.
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.
SegGradCAM
Posts with mentions or reviews of SegGradCAM.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Negative gradients when calculating GradCAM heatmap
Code for https://arxiv.org/abs/2002.11434 found: https://github.com/kiraving/SegGradCAM
super-gradients
Posts with mentions or reviews of super-gradients.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-03-13.
-
Zero-Shot Prediction Plugin for FiftyOne
Most computer vision models are trained to predict on a preset list of label classes. In object detection, for instance, many of the most popular models like YOLOv8 and YOLO-NAS are pretrained with the classes from the MS COCO dataset. If you download the weights checkpoints for these models and run prediction on your dataset, you will generate object detection bounding boxes for the 80 COCO classes.
-
Open Source Advent Fun Wraps Up!
23. SuperGradients | Github | tutorial
- FLaNK Stack Weekly 06 Nov 2023
-
Autodistill: A new way to create CV models
And the target models include: * YOLOv8 (You Only Look Once) * YOLO-NAS * YOLOv5 * and DETR
- FLaNK Stack for 15 May 2023
- GitHub - Deci-AI/super-gradients: Easily train or fine-tune SOTA co...GitHub - Deci-AI/super-gradients: Easily train or fine-tune SOTA co...
- Meet YOLO-NAS: An Open-Sourced YOLO-based Architecture Redefining State-of-the-Art in Object Detection
- FLiPN-FLaNK Stack Weekly May 8 2023
What are some alternatives?
When comparing SegGradCAM and super-gradients you can also consider the following projects:
rankseg - [JMLR 2023] RankSEG: A consistent ranking-based framework for segmentation
ultralytics - NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite