RoseChen's Stars
apachecn/Interview
Interview = 简历指南 + 算法题 + 八股文 + 源码分析
foolwood/SiamMask
[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach
adobe/antialiased-cnns
pip install antialiased-cnns to improve stability and accuracy
motefly/LMA
AAAI'2020: Light Multi-segment Activation for model compression
AaronHeee/MEAL
Official Implementation of MEAL: Multi-Model Ensemble via Adversarial Learning on AAAI 2019
antspy/quantized_distillation
Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"
DrSleep/nas-segm-pytorch
Code for Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells, CVPR '19
mit-han-lab/temporal-shift-module
[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding
vismay93/VideoDecaptioningChalearn
code for Chalearn Video Inpainting Competition Track 2
quan6791/Track02_VideoDecaptioning
This is track 02 for Image Inpainting Challenge
wooramkang/Image-and-Video-Inpainting-with-Deep-NN
NOT DONE, made by wooramkang models for Image / Viedo inpatinting
amjltc295/Free-Form-Video-Inpainting
Official Pytorch implementation of "Learnable Gated Temporal Shift Module for Deep Video Inpainting. Chang et al. BMVC 2019." and the FVI dataset in "Free-form Video Inpainting with 3D Gated Convolution and Temporal PatchGAN, Chang et al. ICCV 2019"
mcahny/Deep-Video-Inpainting
Official pytorch implementation for "Deep Video Inpainting" (CVPR 2019)
zllrunning/video-object-removal
Just draw a bounding box and you can remove the object you want to remove.
nbei/Deep-Flow-Guided-Video-Inpainting
pytorch implementation for "Deep Flow-Guided Video Inpainting"(CVPR'19)
twke18/Adaptive_Affinity_Fields
Adaptive Affinity Fields for Semantic Segmentation
zhanghang1989/PyTorch-Encoding
A CV toolkit for my papers.
junfu1115/DANet
Dual Attention Network for Scene Segmentation (CVPR2019)
scenarios/CiSS-Net
The experimental code in Tensorflow for CiSS-Net
lixincn2015/Partial-Order-Pruning
Partial Order Pruning: for Best Speed/Accuracy Trade-off in Neural Architecture Search
AberHu/Knowledge-Distillation-Zoo
Pytorch implementation of various Knowledge Distillation (KD) methods.
sseung0703/KD_methods_with_TF
Knowledge distillation methods implemented with Tensorflow (now there are 11 (+1) methods, and will be added more.)
hzwer/ICCV2019-LearningToPaint
ICCV2019 - Learning to Paint With Model-based Deep Reinforcement Learning
ningyu1991/TextureMixer
The official Tensorflow implementation for CVPR'19 paper 'Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture'
IntelLabs/distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
imirzadeh/Teacher-Assistant-Knowledge-Distillation
Using Teacher Assistants to Improve Knowledge Distillation: https://arxiv.org/pdf/1902.03393.pdf
dkozlov/awesome-knowledge-distillation
Awesome Knowledge Distillation
HRNet/HRNet-Semantic-Segmentation
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
Tramac/awesome-semantic-segmentation-pytorch
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
CoinCheung/BiSeNet
Add bisenetv2. My implementation of BiSeNet