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Source Code of our CVPR2021 paper "Rethinking BiSeNet For Real-time Semantic Segmentation"
PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.
[IJCAI-2021] Contrastive Model Inversion for Data-Free Knowledge Distillation
Official PyTorch implementation of Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion (CVPR 2020)
Code and pretrained models for paper: Data-Free Adversarial Distillation
Efficient computing methods developed by Huawei Noah's Ark Lab
Accompanying code for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching"
A curated list of automated machine learning papers, articles, tutorials, slides and projects
Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)
Let's train vision transformers (ViT) for cifar 10!
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019
Official PyTorch implementation of "A Comprehensive Overhaul of Feature Distillation" (ICCV 2019)
Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
A pytorch implementation of paper 'Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation', https://arxiv.org/abs/1905.08094
A collection of awesome resources in Human Pose estimation.
YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"
A pytorch implementation of DoReFa-Net
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
⚡ Based on yolo's ultra-lightweight universal target detection algorithm, the calculation amount is only 250mflops, the ncnn model size is only 666kb, the Raspberry Pi 3b can run up to 15fps+, and …