waterbearbee's repositories
SSR
structured sparsity regularization
MNN-APPLICATIONS
MNN applications by MNN, JNI exec, RK3399. Support tflite\tensorflow\caffe\onnx models.
GSCNN
Gated-Shape CNN for Semantic Segmentation (ICCV 2019)
Domain-Adaptive-Faster-RCNN-PyTorch
Domain Adaptive Faster R-CNN in PyTorch
ViP
Video Platform for Action Recognition and Object Detection in Pytorch
MobileNet-in-FPGA
Generator of verilog description for FPGA MobileNet implementation
impersonator
PyTorch implementation of our ICCV 2019 paper: Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis
brevitas
Training-aware quantization in Pytorch
DynamicSparseTraining
The code for ICLR2020 submission
deficient-efficient
Successfully training approximations to full-rank matrices for efficiency in deep learning.
pneumothorax-segmentation
SIIM-ACR Pneumothorax Segmentation first place solution
tflite-tools
TFLite model analyzer & memory optimizer
RealSR
Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model (ICCV 2019)
SBNN
Singular Binarized Neural Network based on GPU Bit Operations (see our SC-19 paper)
openvino_training_extensions
Trainable models and NN optimization tools
fewshot-face-translation-GAN
Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.
DomainIntersectionDifference
Pytorch implementation of of "Domain Intersection and Domain Difference" (ICCV 2019)
porcupine
On-device wake word detection powered by deep learning.
EGNet
EGNet:Edge Guidance Network for Salient Object Detection (ICCV 2019)
Instaboost
Code for ICCV2019 paper "InstaBoost: Boosting Instance Segmentation Via Probability Map Guided Copy-Pasting"
closed-form-matting
Python implementation of A. Levin D. Lischinski and Y. Weiss. A Closed Form Solution to Natural Image Matting. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2006, New York
Deep-Image-Matting
Deep Image Matting
Image-processing-algorithm
paper implement
dabnn
dabnn is an accelerated binary neural networks inference framework for mobile platform
SOD-CNNs-based-code-summary-
The summary of code and paper for salient object detection with deep learning
One_Shot_Face_Reenactment
Official test script for 2019 BMVC paper 'One-shot Face Reenactment' in PyTorch.
VoVNet-Detectron
Detectron with VoVNet(CVPRW'19) backbone networks