CNN Features off-the-shelf | Lecture 29 (Part 2) | Applied Deep Learning

preview_player
Показать описание
CNN Features off-the-shelf: an Astounding Baseline for Recognition

  1. Maziar Raissi
Рекомендации по теме
CNN Features off-the-shelf 0:06:49

CNN Features off-the-shelf | Lecture 29 (Part 2) | Applied Deep Learning

CNN Features off-the-shelf 0:02:56

CNN Features off-the-shelf (Q&A) | Lecture 25 (Part 3) | Applied Deep Learning (Supplementary)

The Untapped Potential 0:04:54

The Untapped Potential of Off-the-Shelf Convolutional Neural Networks

WACV18: Plug-and-Play CNN 0:05:04

WACV18: Plug-and-Play CNN for Crowd Motion Analysis: An Application in Abnormal Event Detection

Content-based Image Retrieval 0:29:23

Content-based Image Retrieval with Deep Learning - Kevin McGuinness - UPC TelecomBCN Barcelona 2019

Correction Filter for 0:04:56

Correction Filter for Single Image Super-Resolution: Robustifying Off-the-Shelf Deep Super-Resolvers

Lecture 13: Classification 0:53:13

Lecture 13: Classification with Convolutional Neural Networks (Part 2)

WACV18: Synthetic to 0:04:16

WACV18: Synthetic to Real Adaptation with Generative Correlation Alignment Networks

Self-Driving Cars - 0:37:43

Self-Driving Cars - Lecture 10.4 (Object Detection: Region Based CNNs)

Towards Unified INT8 0:01:01

Towards Unified INT8 Training for Convolutional Neural Network

Daniel Worrall: Understanding 1:00:01

Daniel Worrall: Understanding and Generalising the Convolution

DeCAF | Lecture 0:14:37

DeCAF | Lecture 29 (Part 1) | Applied Deep Learning

WACV18: Wide-Slice Residual 0:05:00

WACV18: Wide-Slice Residual Networks for Food Recognition

Sumedh Datar - 0:35:05

Sumedh Datar - Deep Learning Model Interpretability for Computer Vision based Models

Robert Pałuba: Object 0:38:39

Robert Pałuba: Object detection and instance segmentation

CVPR18: Tutorial: Part 0:59:44

CVPR18: Tutorial: Part 1: Visual Recognition and Beyond

Few-Shot Object Recognition 0:03:58

Few-Shot Object Recognition From Machine-Labeled Web Images | Spotlight 4-1A

Learning to Select 0:11:46

Learning to Select Pre-Trained Deep Representations With Bayesian Evidence Framework

FormaliSE2020 Keynote - 0:54:05

FormaliSE2020 Keynote - On the Probabilistic Analysis of Neural Networks

Content-based Image Retrieval 0:29:23

Content-based Image Retrieval with Deep Learning - Kevin McGuinness - UPC TelecomBCN Barcelona 2019

1346 - Deformable 0:04:56

1346 - Deformable Gabor Feature Networks for Biomedical Image Classification

Residual Feature Aggregation 0:01:00

Residual Feature Aggregation Network for Image Super-Resolution

quarter CNN: FaceNet: 0:16:12

quarter CNN: FaceNet: A Unified Embedding for Face Recognition and Clustering

Off-the-shelf Algorithmic Stability 0:53:31

Off-the-shelf Algorithmic Stability

welcome to shbcf.ru