Pinned Repositories
3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
AA
Adaptive-Sentinel-Image-Captioning
Implementation of the 'Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning' by Lu et. al.
AdversarialNetsPapers
The classical papers and codes about generative adversarial nets
affnet
Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"
AgeEstimationFramework
Effective training of convolutional neural networks for age estimation based on knowledge distillation
allRank
allRank is a framework for training learning-to-rank neural models based on PyTorch.
attention-module
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
big_transfer
Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
caffe
Caffe
xyy19920105's Repositories
xyy19920105/AA
xyy19920105/Adaptive-Sentinel-Image-Captioning
Implementation of the 'Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning' by Lu et. al.
xyy19920105/AdversarialNetsPapers
The classical papers and codes about generative adversarial nets
xyy19920105/affnet
Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"
xyy19920105/attention-module
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
xyy19920105/ba_demo_ceres
Bundle adjustment demo using Ceres Solver, with customized cost function and local parameterization on SE(3)
xyy19920105/CBIR
🏞 A content-based image retrieval (CBIR) system
xyy19920105/coco-caption
xyy19920105/crnn
Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.
xyy19920105/CVPR2018_attention
Context Encoding for Semantic Segmentation MegaDepth: Learning Single-View Depth Prediction from Internet Photos LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume On the Robustness of Semantic Segmentation Models to Adversarial Attacks SPLATNet: Sparse Lattice Networks for Point Cloud Processing Left-Right Comparative Recurrent Model for Stereo Matching Enhancing the Spatial Resolution of Stereo Images using a Parallax Prior Unsupervised CCA Discovering Point Lights with Intensity Distance Fields CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation Learning a Discriminative Feature Network for Semantic Segmentation Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation Unsupervised Deep Generative Adversarial Hashing Network Monocular Relative Depth Perception with Web Stereo Data Supervision Single Image Reflection Separation with Perceptual Losses Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains EPINET: A Fully-Convolutional Neural Network for Light Field Depth Estimation by Using Epipolar Geometry FoldingNet: Interpretable Unsupervised Learning on 3D Point Clouds Decorrelated Batch Normalization Unsupervised Learning of Depth and Egomotion from Monocular Video Using 3D Geometric Constraints PU-Net: Point Cloud Upsampling Network Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer Tell Me Where To Look: Guided Attention Inference Network Residual Dense Network for Image Super-Resolution Reflection Removal for Large-Scale 3D Point Clouds PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image Fully Convolutional Adaptation Networks for Semantic Segmentation CRRN: Multi-Scale Guided Concurrent Reflection Removal Network DenseASPP: Densely Connected Networks for Semantic Segmentation SGAN: An Alternative Training of Generative Adversarial Networks Multi-Agent Diverse Generative Adversarial Networks Robust Depth Estimation from Auto Bracketed Images AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation DeepMVS: Learning Multi-View Stereopsis GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation Single-Image Depth Estimation Based on Fourier Domain Analysis Single View Stereo Matching Pyramid Stereo Matching Network A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth, and Optical Flow Estimation Image Correction via Deep Reciprocating HDR Transformation Occlusion Aware Unsupervised Learning of Optical Flow PAD-Net: Multi-Tasks Guided Prediciton-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing Surface Networks Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation TextureGAN: Controlling Deep Image Synthesis with Texture Patches Aperture Supervision for Monocular Depth Estimation Two-Stream Convolutional Networks for Dynamic Texture Synthesis Unsupervised Learning of Single View Depth Estimation and Visual Odometry with Deep Feature Reconstruction Left/Right Asymmetric Layer Skippable Networks Learning to See in the Dark
xyy19920105/deep-fashion-retrieval
Simple image retrival on deep-fashion dataset with pytorch - A course project
xyy19920105/deep-reinforcement-learning-papers
A list of recent papers regarding deep reinforcement learning
xyy19920105/deepbayes-2018
Seminars DeepBayes Summer School 2018
xyy19920105/DeepLab-Context
xyy19920105/deeplearningbook-chinese
Deep Learning Book Chinese Translation
xyy19920105/dopamine
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
xyy19920105/DRL-FlappyBird
Playing Flappy Bird Using Deep Reinforcement Learning (Based on Deep Q Learning DQN using Tensorflow)
xyy19920105/fake_caffe
this is to learn caffe
xyy19920105/faster_rcnn_C-_demo
xyy19920105/fb.resnet.torch
Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts
xyy19920105/graph-based-nn
Graph Convolutional Networks (GCNs)
xyy19920105/Guided-Attention-Inference-Network
Contains implementation of Guided Attention Inference Network (GAIN) presented in Tell Me Where to Look(CVPR 2018). This repository aims to apply GAIN on fcn8 architecture used for segmentation.
xyy19920105/hierarchical_loc
Deep image retrieval for efficient 6-DoF localization
xyy19920105/lf-net-release
Code Release for LF-Net: Learning Local Features from Images
xyy19920105/netscope
Neural network visualizer
xyy19920105/really-awesome-gan
A list of papers on Generative Adversarial (Neural) Networks
xyy19920105/RLeToR
A PyTorch implementation of REINFORCE Learning To Rank on OSHUMED, MQ, etc. dataset. Basic idea also appears in SIGIR'17 Reinforcement Learning to Rank with Markov Decision Process
xyy19920105/salbow
Saliency Weighted Convolutional Features for Instance Search
xyy19920105/tf-lift
Tensorflow port of LIFT (ECCV 2016), with training code.
xyy19920105/tps_stn_pytorch
PyTorch implementation of Spatial Transformer Network (STN) with Thin Plate Spline (TPS)