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ademxapp

Code for https://arxiv.org/abs/1611.10080

ai-challenger-keypoints-pytorch

AI Challenger Keypoints Detection(https://challenger.ai/competition/keypoint/leaderboard) (SYSU_Pose Rank #5)

alpa

Training and serving large-scale neural networks

anpd

awesome-auto-parallelism

A baseline repository of Auto-Parallelism in Training Neural Networks

awesome-deep-learning-resources

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

awesome-visual-grounding

awesome visual grounding: a curated list of research papers in referring visual grounding

bffn

bytedance_icme2019_challenge_baseline

Bytedance_ICME2019_challenge_baseline

cpm-conv-pose-machine

这是从CPM那篇文章的作者那边看了之后，自己写了个新的实现方式，目前还在训练中，不知道结果如何，希望大家给点建议

cv

cvpr19-face-anti-spoofing

Code for 2nd Place Solution in Face Anti-spoofing Attack Detection Challenge @ CVPR2019

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

dcl

Destruction and Construction Learning for Fine-grained Image Recognition

ddg

A PyTorch implementation of the paper "Decoupled Parallel Backpropagation with Convergence Guarantee"

ddpg

Pytorch implementation of the Deep Deterministic Policy Gradients Algorithm for Continuous Control

ddpg_biped

Repository for Planar Bipedal walking robot in Gazebo environment using Deep Deterministic Policy Gradient(DDPG) using TensorFlow.

deep-gradient-compression

[ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

deeplabv3p_gluon

DeepLab v3+ in MXNet Gluon (WIP)

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

device-placement-optimization-with-reinforcement-learning

https://arxiv.org/abs/1706.04972

dilation

Dilated Convolution for Semantic Image Segmentation

dnn-dp

Code for Deep Neural Network Approximated Dynamic Programming

dream

Mirror of https://lab.nexedi.com/nexedi/dream ; Please submit patches and issues there

drn

Dilated Residual Networks

efficientnet-pytorch

A PyTorch implementation of EfficientNet

fast_human_pose_estimation_pytorch

Pytorch Code for paper "Fast Human Pose Estimation"

fcn

FCN for semantic segmentation

fcn-pytorch

🚘 Easiest Fully Convolutional Networks