RepLKNet
CREStereo
RepLKNet | CREStereo | |
---|---|---|
1 | 1 | |
260 | 444 | |
3.8% | 4.3% | |
0.0 | 0.0 | |
about 2 years ago | over 1 year ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
RepLKNet
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How to speedup 31*31 conv 10 times
Official MegEngine implementation of RepLKNet:https://github.com/MegEngine/RepLKNet
CREStereo
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stereodemo: compare several recent stereo depth estimation methods in the wild
CREStereo: "Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlation" (CVPR 2022)
What are some alternatives?
MegEngine - MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架
RealtimeStereo - Attention-Aware Feature Aggregation for Real-time Stereo Matching on Edge Devices (ACCV, 2020)
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
PINTO_model_zoo - A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
RAFT-Stereo
fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:
synthetic-computer-vision - A list of synthetic dataset and tools for computer vision
google-research - Google Research
unimatch - [TPAMI'23] Unifying Flow, Stereo and Depth Estimation
OpenCV - Open Source Computer Vision Library
IGEV - [CVPR 2023] Iterative Geometry Encoding Volume for Stereo Matching and Multi-View Stereo