2DCNN
- 论文笔记 -- Training Interpretable Convolutional Neural Networks by Differentiating Class specific Filters
- 论文笔记 -- Learning to Learn Parameterized Classification Networks for Scalable Input Images
ActionRecognition
- 3D卷积神经网络的架构搜索(二)
- 3D卷积神经网络的架构搜索(一)
- 论文笔记 -- Gate-Shift Networks for Video Action Recognition
- TSN(ECCV2016)论文复现(2)
- TSN(ECCV2016)论文复现(1)
- 讲座笔记 -- TechBeat 关于细粒度动作识别的新探索 CUHK邵典
- 论文笔记 -- Video Modeling with Correlation Networks
- 论文笔记 -- Multi Modal Domain Adaptation for Fine-Grained Action Recognition
- 论文笔记 -- Self-supervised Visual Feature Learning (Survey)
- 论文笔记 -- Temporal Pyramid Network for Action Recognition
- 论文笔记 -- Temporal Excitation and Aggregation for Action Recognition
- 论文笔记 -- Learn to Mitigate Scene Bias in Action Recognition
- 讲座笔记 -- VALSE Webinar Action Recognition (5)
- 讲座笔记 -- VALSE Webinar Action Recognition (4)
- 讲座笔记 -- VALSE Webinar Action Recognition (3)
- 讲座笔记 -- VALSE Webinar Action Recognition (2)
- 讲座笔记 -- VALSE Webinar Action Recognition (1)
CUDA
- CUDA -- Day7 CUDA编程三
- CUDA -- Day6 CUDA编程二 干货的开始
- CUDA -- Day5 CUDA编程一
- CUDA -- Day4 GPU编程模型
- CUDA -- Day3 GPU体系结构概述
- CUDA -- Day2 并行程序设计概述
- CUDA -- Day1 计算机体系结构复习
ContinualLearning
CourseNotes
Freespace
- Polar-DETR:基于环视摄像系统的3D检测
- Occupancy Network Tesla AI Reference
- Exploring the Effects of Data Augmentation for Drivable Area Segmentation
GAN
LectureNotes
- 讲座笔记 -- VALSE2020在线大会 网络架构设计与类脑
- 讲座笔记 -- TechBeat 关于细粒度动作识别的新探索 CUHK邵典
- 讲座笔记 -- VALSE Webinar Action Recognition (5)
- 讲座笔记 -- VALSE Webinar Network Compression
- 讲座笔记 -- VALSE Webinar Action Recognition (4)
- 讲座笔记 -- VALSE Webinar Action Recognition (3)
- 讲座笔记 -- VALSE Webinar Action Recognition (2)
- 讲座笔记 -- VALSE Webinar Action Recognition (1)
MetaLearning
NAS
NetworkPruning
- 论文笔记 -- A Privacy Preserving DNN Pruning and Mobile Acceleration Framework
- 论文笔记 -- EagleEye Fast Subnet Evaluation for Efficient Neural Network Pruning
- 讲座笔记 -- VALSE Webinar Network Compression
- 论文笔记 -- What is the State of Neural Network Pruning? (MLSys2020)
NetworkTrainingAcceleration
- 论文笔记 -- Low Memory Neural Network Training (A Technique Report)
- 论文笔记 -- GPipe Efficient Training of Giant Neural Networks using Pipeline Parallelism
- 论文笔记 -- Freeout:Accelerate Training by Progressively Freezing Layers
- 论文笔记 -- Deep Networks with Stochastic Depth (ECCV2016 Spotlight)
ObjectDetection
PaperNotes
- BEVFusion
- Lift, Splat, Shoot
- UniFormer
- Polar-DETR:基于环视摄像系统的3D检测
- Occupancy Network Tesla AI Reference
- Exploring the Effects of Data Augmentation for Drivable Area Segmentation
- 3D卷积神经网络的架构搜索(二)
- 3D卷积神经网络的架构搜索(一)
- 论文笔记 -- Gate-Shift Networks for Video Action Recognition
- 论文笔记 -- Video Modeling with Correlation Networks
- 论文笔记 -- HRNet
- 论文笔记 -- Conditional Channel Gated Networks for Task-Aware Continual Learning
- 论文笔记 -- Training Interpretable Convolutional Neural Networks by Differentiating Class specific Filters
- 论文笔记 -- Learning to Learn Parameterized Classification Networks for Scalable Input Images
- 论文笔记 -- A Privacy Preserving DNN Pruning and Mobile Acceleration Framework
- 论文笔记 -- EagleEye Fast Subnet Evaluation for Efficient Neural Network Pruning
- 论文笔记 -- Multi Modal Domain Adaptation for Fine-Grained Action Recognition
- 论文笔记 -- Self-supervised Visual Feature Learning (Survey)
- 论文笔记 -- Temporal Pyramid Network for Action Recognition
- 论文笔记 -- Low Memory Neural Network Training (A Technique Report)
- 论文笔记 -- GPipe Efficient Training of Giant Neural Networks using Pipeline Parallelism
- 论文笔记 -- Temporal Excitation and Aggregation for Action Recognition
- 论文笔记 -- Squeeze and Excitation Networks
- 论文笔记 -- Learn to Mitigate Scene Bias in Action Recognition
- 论文笔记 -- Freeout:Accelerate Training by Progressively Freezing Layers
- 论文笔记 -- Deep Networks with Stochastic Depth (ECCV2016 Spotlight)
- 论文笔记 -- What is the State of Neural Network Pruning? (MLSys2020)
PoseEstimation
ReadingNotes
- 抄书 -- 鲁迅华盖集
- 抄书 -- 志摩的诗
- 抄书 -- 云鸥情书集
- 抄书 -- 郑执生吞
- 抄书 -- 郁达夫春风沉醉的晚上
- 抄书 -- 南宋行暮
- 抄书 -- 局外人
- 抄书 -- 朱光潜给青年的十二封信
- 公开课 -- 中国当代小说选读公开课笔记
- 抄书 -- 周国平人生哲思录
- 抄书 -- 德国历史中的文化诱惑
Transformer
VALSE2020
- VALSE2020重要主题年度进展回顾三:网络架构搜索,视觉目标检测,模型可解释性,3D人体姿态
- VALSE2020重要主题年度进展回顾二:视觉生成GAN,细粒度识别,自监督学习
- VALSE2020重要主题年度进展回顾一:模型压缩,图神经网络,场景文字检测与识别,元学习