bentengma Goto Github PK

active-convolution

Active Convolution

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

ano_pred_cvpr2018

Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018

capsnet-keras

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.

clinical-data

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

cross-domain-detection

Codes and datasets for 'Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation' [Inoue+, CVPR2018].

cvpr2018-papers

darts

Differentiable architecture search for convolutional and recurrent networks

dcpdn

Densely Connected Pyramid Dehazing Network (CVPR'2018)

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dsb2018_topcoders

DSB2018 [ods.ai] topcoders

fastmask

FastMask: Segment Multi-scale Object Candidates in One Shot

fcis

Fully Convolutional Instance-aware Semantic Segmentation

feature-selector

Feature selector is a tool for dimensionality reduction of machine learning datasets

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

learningtocompare-pytorch

Pytorch Implementation for CVPR2018 Paper: Learning to Compare: Relation Network for Few-Shot Learning

models

Models and examples built with TensorFlow

nas-without-training

Neural Architecture Search Without Training

netdissect

Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.

netdissect-lite

Light version of Network Dissection for Quantifying Interpretability of Networks

online-federated-learning

Private repository for online federated learning.

practical_rl

A course in reinforcement learning in the wild