LFattNet
tapnet
| LFattNet | tapnet | |
|---|---|---|
| 1 | 3 | |
| 53 | 1,066 | |
| - | 4.4% | |
| 0.0 | 8.2 | |
| over 3 years ago | 19 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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LFattNet
tapnet
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Meta AI releases CoTracker, a model for tracking any points (pixels) on a video
Neat. It's mentioned on Facebook's page, but here Google's version of point tracking: https://deepmind-tapir.github.io
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Meet TAP-Vid: A Dataset of Videos Along With Point Tracks, Either Manually Annotated or Obtained From A Simulator
Quick Read: https://www.marktechpost.com/2022/11/26/meet-tap-vid-a-dataset-of-videos-along-with-point-tracks-either-manually-annotated-or-obtained-from-a-simulator/ Paper: https://arxiv.org/pdf/2211.03726.pdf Github link: https://github.com/deepmind/tapnet
- Tap-Vid: A Benchmark for Tracking Any Point in a Video
What are some alternatives?
attention-is-all-you-need-pytorch - A PyTorch implementation of the Transformer model in "Attention is All You Need".
co-tracker - CoTracker is a model for tracking any point (pixel) on a video.
fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:
omnimotion
DenseDepth - High Quality Monocular Depth Estimation via Transfer Learning
ModelNet40-C - Repo for "Benchmarking Robustness of 3D Point Cloud Recognition against Common Corruptions" https://arxiv.org/abs/2201.12296
performer-pytorch - An implementation of Performer, a linear attention-based transformer, in Pytorch
Ghost-DeblurGAN - This is a lightweight GAN developed for real-time deblurring. The model has a super tiny size and a rapid inference time. The motivation is to boost marker detection in robotic applications, however, you may use it for other applications definitely.
Meta-SelfLearning - Meta Self-learning for Multi-Source Domain Adaptation： A Benchmark
opendr - A modular, open and non-proprietary toolkit for core robotic functionalities by harnessing deep learning
long-range-arena - Long Range Arena for Benchmarking Efficient Transformers