detrex
solo-learn
| detrex | solo-learn | |
|---|---|---|
| 4 | 3 | |
| 1,821 | 1,355 | |
| 1.4% | - | |
| 7.2 | 5.9 | |
| 3 months ago | 16 days ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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detrex
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[R] detrex 0.2.0 release: New baselines for DETR models
Add model analyze tools and visualization for COCO eval results and annotations in tools
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detrex: the open source toolbox for Transformer based object detection algorithms
- [DETR (ECCV'2020)](https://github.com/IDEA-Research/detrex/tree/main/projects/detr)
Here's the github links: https://github.com/IDEA-Research/detrex
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[R] detrex: the open source toolbox for Transformer based object detection algorithms
detrex has already implemented the following algorithms: - DETR (ECCV'2020) - Deformable-DETR (ICLR'2021 Oral) - Conditional-DETR (ICCV'2021) - DAB-DETR (ICLR'2022) - DAB-Deformable-DETR (ICLR'2022) - DN-DETR (CVPR'2022 Oral) - DN-Deformable-DETR (CVPR'2022 Oral) - DINO (ArXiv'2022) - Group-DETR (ArXiv' 2022)
solo-learn
- [D]Use SimCLR as pretraining for image segmentation
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[D] State-of-the-Art for Self-Supervised (Pre-)Training of CNN architectures (e.g. ResNet)?
Hello, I lost a bit of touch to the current SOTA of self-supervised pretraining of CNNs, in particular ResNet. I found this repository https://github.com/vturrisi/solo-learn that has many methods implemented but I'm not really sure where to start. My goal is to pretrain a ResNet backbone on a decently large amount of image data that comes from a certain domain and after that fine-tune it for different downstream tasks (classification, segmentation, object detection) on a subset of the data I have labels for.
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[P] Solo-learn 1.0.3: new methods, support for transformer architectures, better evaluation, improved docs, and additional results.
Hi Reddit, the solo-learn team is back again with interesting news about its SSL library.
What are some alternatives?
yolov7_d2 - 🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
dino - PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
IkomiaApi - Deploy Computer Vision solutions with a few lines of code.
lightning-transformers - Flexible components pairing 🤗 Transformers with :zap: Pytorch Lightning
detectron2 - Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
contrastive-reconstruction - Tensorflow-keras implementation for Contrastive Reconstruction (ConRec) : a self-supervised learning algorithm that obtains image representations by jointly optimizing a contrastive and a self-reconstruction loss.
mmdetection - OpenMMLab Detection Toolbox and Benchmark
Revisiting-Contrastive-SSL - Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
Unsupervised-Semantic-Segmentation - Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]
CEBRA - Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA
vectorrvnn - Data Driven method for hierarchical grouping of paths in Vector Graphics.