BentengMa's repositories
feature-selector
Feature selector is a tool for dimensionality reduction of machine learning datasets
ano_pred_cvpr2018
Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018
cross-domain-detection
Codes and datasets for 'Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation' [Inoue+, CVPR2018].
dsb2018_topcoders
DSB2018 [ods.ai] topcoders
Few-Shot
Few Shot
Funny-CVPR2018
A collection of funny cvpr2018 project
generative_inpainting
Generative Image Inpainting with Contextual Attention https://arxiv.org/abs/1801.07892, demo http://jhyu.me/demo
IDN-Caffe
Caffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network"
IntraDA
Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision (CVPR 2020 Oral)
L-GM-loss
Implementation of our accepted CVPR 2018 paper "Rethinking Feature Distribution for Loss Functions in Image Classification"
LatentGNN-V1-PyTorch
Implementation of “LatentGNN: Learning Efficient Non-local Relations for Visual Recognition”(ICML 2019)
Learning-via-Translation
Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification (https://arxiv.org/pdf/1711.07027.pdf). CVPR2018
models
Models and examples built with TensorFlow
nas-without-training
Neural Architecture Search Without Training
online-federated-learning
Private repository for online federated learning.
Practical_RL
A course in reinforcement learning in the wild
psa
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation, CVPR 2018
pytorch-grad-cam
PyTorch implementation of Grad-CAM
pytorch-semseg
Semantic Segmentation Architectures Implemented in PyTorch
real-time-network
real-time network architecture for mobile devices and semantic segmentation
ResidualAttentionNetwork-pytorch
a pytorch code about Residual Attention Network. This code is based on two projects from
RISTN
AAAI 2019 paper. "Residual Invertible Spatio-Temporal Network for Video Super-Resolution"
SemanticSegmentation_DL
Resources of semantic segmantation based on Deep Learning model