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3d-iwgan

A repository for the paper "Improved Adversarial Systems for 3D Object Generation and Reconstruction".

3d-object-detection

Indoor Semantic Segmentation

3d-point-cloud-generation

Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction :grapes: (AAAI 2018)

3d-pose-baseline

A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.

3d-r2n2

Single/multi view image(s) to voxel reconstruction using a recurrent neural network

3d-resnets-pytorch

3D ResNets for Action Recognition (CVPR 2018)

3dcnn.torch

Volumetric CNN for feature extraction and object classification on 3D data.

3ddfa

The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.

3dsmoothnet

[CVPR19] The Perfect Match: 3D Point Cloud Matching with Smoothed Densities

adain-style

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

afm_cvpr2019

Official implementation of paper "Learning Attraction Field Map for Robust Line Segment Detection" (CVPR 2019)

aga

Attribute-Guided Augmentation

agriculture-vision

[CVPR 2020 & 2021] Agriculture-Vision Dataset, Prize Challenge and Workshop: A joint effort with many great collaborators to bring Agriculture and Computer Vision/AI communities together to benefit humanity!

amodal3det

autonomous_uavs_swarm_mission

avalanche

Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

awesome-algorithm

Leetcode 题解 (跟随思路一步一步撸出代码) 及经典算法实现

awesome-autonomous-driving-papers

This repository provides awesome research papers for autonomous driving perception. If you do find a problem or have any suggestions, please raise this as an issue or make a pull request with information (format of the repo): Research paper title, datasets, metrics, objects, source code, publisher, and year.

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

awesome-incremental-learning

Awesome Incremental Learning

awesome-visualization-research

A list of recommended research papers and other readings on data visualization

awesome-zero-shot-learning

A curated list of papers, code and resources pertaining to zero shot learning

awesome_deep_learning_interpretability

深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)

best-incremental-learning

An Incremental Learning, Continual Learning, and Life-Long Learning Repository

brain-inspired-replay

A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).

brainstorm

Implementation of "Data augmentation using learned transforms for one-shot medical image segmentation"

centernet

Object detection, 3D detection, and pose estimation using center point detection:

char-rnn-tensorflow

Multi-language Char RNN for TensorFlow >= 1.2.

cleargrasp

Official repository for the paper "ClearGrasp: 3D Shape Estimation of Transparent Objects for Manipulation"

clops-nature-

PyTorch code for continual learning of cardiac signals with CLOPS