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BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
Awesome work on hand pose estimation/tracking
Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)
Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS
Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019
QKeras: a quantization deep learning library for Tensorflow Keras
Official implementation of "VoxelPose: Towards Multi-Camera 3D Human Pose Estimation in Wild Environment"
[TPAMI 2022 & CVPR2021 Oral] UP-DETR: Unsupervised Pre-training for Object Detection with Transformers
Code for "Image-to-image Translation via Hierarchical Style Disentanglement" (CVPR 2021 Oral).
Real time one-stage multi-class & multi-object tracking based on anchor-free detection and ReID
Code repository for the paper: "Coherent Reconstruction of Multiple Humans from a Single Image" in CVPR'20
Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project provides researchers, developers, and engineers a…
A model compression and acceleration toolbox based on pytorch.
source code for ICLR'22 paper "VOS: Learning What You Don’t Know by Virtual Outlier Synthesis"
Simple Python and Julia implementations of the 1€ Filter. The codes can be used as a pseudocode for implementing the algorithm in other languages.
[ECCV 2020] SMAP: Single-Shot Multi-Person Absolute 3D Pose Estimation
pytorch -> onnx -> caffe, pytorch to caffe, or other deep learning framework to onnx and onnx to caffe.
Here is an unofficial implementation of "Learning Confidence for Out-of-Distribution Detection in Neural Networks"