Publication

An Ultra-Low-Power Image Signal Processor for Hierarchical Image Recognition With Deep Neural Networks

Publications associées (45)

À propos
Confidentialité
Mentions légales

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search

An Ultra-Low-Power Image Signal Processor for Hierarchical Image Recognition With Deep Neural Networks

Graph Chatbot

Chattez avec Graph Search

Deep Learning Generalization with Limited and Noisy Labels

BLACK-BOX ATTACKS ON IMAGE ACTIVITY PREDICTION AND ITS NATURAL LANGUAGE EXPLANATIONS

Fixing the problems of deep neural networks will require better training data and learning algorithms

Regularization of polynomial networks for image recognition

Regularization of polynomial networks for image recognition

Improving the Training of Compact Neural Networks for Visual Recognition

Impulsive noise removal via a blind CNN enhanced by an iterative post-processing

SafeAMC: Adversarial training for robust modulation classification models

Stop Wasting my FLOPS: Improving the Efficiency of Deep Learning Models

Tracking and Relative Localization of Drone Swarms With a Vision-Based Headset

Deep Learning Generalization with Limited and Noisy Labels

Regularization of polynomial networks for image recognition

Improving the Training of Compact Neural Networks for Visual Recognition

Regularization of polynomial networks for image recognition

SafeAMC: Adversarial training for robust modulation classification models

BLACK-BOX ATTACKS ON IMAGE ACTIVITY PREDICTION AND ITS NATURAL LANGUAGE EXPLANATIONS

Fixing the problems of deep neural networks will require better training data and learning algorithms

Impulsive noise removal via a blind CNN enhanced by an iterative post-processing

Stop Wasting my FLOPS: Improving the Efficiency of Deep Learning Models

Tracking and Relative Localization of Drone Swarms With a Vision-Based Headset