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wangq95's Projects

asl icon asl

Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper

autodeeplab icon autodeeplab

Pytorch Implementation the paper Auto-DeepLab Hierarchical Neural Architecture Search for Semantic Image Segmentation

autonl icon autonl

Code for AutoNL on ImageNet (CVPR2020)

banet icon banet

nonofficial implementation of paper "Boundary-Aware Network for Fast and High-Accuracy Portrait Segmentation"

caffe icon caffe

Caffe: a fast open framework for deep learning.

cc icon cc

Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation

crfasrnn-pytorch icon crfasrnn-pytorch

PyTorch implementation of Conditional Random Fields as Recurrent Neural Networks (CRFasRNN), ICCV 2015 for semantic segmentation.

danet icon danet

Dual Attention Network for Scene Segmentation (CVPR2019)

deeplab-v3-plus-cityscapes icon deeplab-v3-plus-cityscapes

mIOU=80.02 on cityscapes. My implementation of deeplabv3+ (also know as 'Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation' based on the dataset of cityscapes).

deeplab_v2 icon deeplab_v2

基于v2版本的deeplab,使用VGG16模型,在VOC2012,Pascal-context,NYU-v2等多个数据集上进行训练

deeplabv3 icon deeplabv3

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

dense_flow icon dense_flow

OpenCV Implementation of different optical flow algorithms

dfanet icon dfanet

reimpliment of DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation

dilation icon dilation

Dilated Convolution for Semantic Image Segmentation

emanet icon emanet

The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)

gan-compression icon gan-compression

[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs

geonet icon geonet

Code for GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose (CVPR 2018)

icnet icon icnet

ICNet for Real-Time Semantic Segmentation on High-Resolution Images, ECCV2018

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