wzb's repositories
vision
Datasets, Transforms and Models specific to Computer Vision
TengineKit
TengineKit - Free, Fast, Easy, Real-Time Face Detection & Face Landmarks & Face Attributes & Hand Detection & Hand Landmarks & Body Detection & Body Landmarks & Iris Landmarks & Yolov5 SDK On Mobile.
xmodaler
X-modaler is a versatile and high-performance codebase for cross-modal analytics(e.g., image captioning, video captioning, vision-language pre-training, visual question answering, visual commonsense reasoning, and cross-modal retrieval).
lf-net-release
Code Release for LF-Net: Learning Local Features from Images
hardnet
Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"
videoalignment
Learning to align and match videos with kernelized temporal layers
Pytorch_Retinaface
Retinaface get 80.99% in widerface hard val using mobilenet0.25.
simpledet
A Simple and Versatile Framework for Object Detection and Instance Recognition
once-for-all
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
pytorch-vector-quantization
A Pytorch Implementations for Various Vector Quantization Methods
YOLOP
You Only Look Once for Panopitic Driving Perception.（https://arxiv.org/abs/2108.11250）
Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
ResRep
Lossless CNN Channel Pruning via Decoupling Remembering and Forgetting
RepMLP
RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition
ASLFeat
Implementation of CVPR'20 paper - ASLFeat: Learning Local Features of Accurate Shape and Localization
TOOD
TOOD: Task-aligned One-stage Object Detection, ICCV2021 Oral
SNNs-RNNs
The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.
DAQ
An official PyTorch implementation of the paper "Distance-aware Quantization", ICCV 2021.
permute-quantize-finetune
Using ideas from product quantization for state-of-the-art neural network compression.
MEAL-V2
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks
tvm
Open deep learning compiler stack for cpu, gpu and specialized accelerators
PyHessian
PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
ONNX-Runtime-Inference
ONNX Runtime Inference C++ Example
pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
d2-net
D2-Net: A Trainable CNN for Joint Description and Detection of Local Features
FQSR
Codes for ACMMM 2021 paper "Fully Quantized Image Super-Resolution Networks".