DOUBLE FEATURE
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More informations about "Double Feature"
The Decades of Double Features - JSTOR Daily
Feb 26, 2025 For years, the double feature was a dependable part of the movie-goer’s life. Where did it come from, and where did it go?See details»
Double Features: A Guide - Emmanuel Menon’s Blog
The Rise and Fall of the Double Feature - Neatorama
Feb 26, 2025 Do you remember when movie theaters used to have double features? Two movie for the price of one! Which, of course, wasn't really the case, since double features were so …See details»
Double Features - The New York Times
Jul 16, 2016 The ASPCA is an organization that watches over treatment of animals, and is also an organization that hopefully finds homes for animals, including watchdogs. – 113A: Wordplay alert!See details»
Double Feature Pyramid Networks for Classification and …
The decoupled head for classification and localization have been proven powerful in the most of one-stage and two-stage detectors. However, most object detection algorithm share a Feature …See details»
Double-Stage Feature-Level Clustering-Based Mixture of Experts …
Mar 12, 2025 This paper introduces the Double-stage Feature-level Clustering and Pseudo-labeling-based Mixture of Experts (DFCP-MoE) framework, which consists of input feature …See details»
Classification of Remote Sensing Image Scenes Using Double …
Jul 10, 2021 This research work has proposed a double feature extraction hybrid deep learning approach to classify remotely sensed image scenes based on feature abstraction techniques. …See details»
A Double Feature Fusion Network with Progressive Learning for …
Deep learning methods in computer vision have shown tremendous progress recently. Most image restoration methods are based on single feature extraction. However, image restoration …See details»
Double Feature - Crunchbase Company Profile & Funding
Double Feature is a company that was acquired by Graphicly in 2011.See details»
Design of automatic identification algorithm for double-feature …
Jan 9, 2024 The conventional automatic identification algorithm of double-feature fault signal waveform of power equipment mainly uses ART (Adaptive Resonnance Theory) network for …See details»
A novel pixel replacement-based segmentation and double …
Jan 1, 2021 This paper focuses on developing such a system for agricultural application mainly for early detection of diseases in plant leaves and provides solutions to the farmers. The main …See details»
Double Feature Extraction Method for Wafer Map ... - IEEE Xplore
The individual components of an integrated circuit (IC) are extremely small and its production demands precision at an atomic level. ICs are made by creating circuit structures on a wafer …See details»
FENIX's Design Duo Double Feature Project Explores Duality
May 6, 2024 Design Duo Double Feature exhibition invited 6 pairs of designers to explore duality using FENIX's dual-use furnishing elements.See details»
Double feature selection algorithm based on low-rank sparse non ...
Feb 12, 2020 Recently, many feature selection algorithms based on non-negative matrix factorization have been proposed. However, many of these algorithms only consider unilateral …See details»
DEJA-VU: Double Feature Presentation and Iterated Loss in Deep ...
Deep acoustic models typically receive features in the first layer of the network, and process increasingly abstract representations in the subsequent layers. Here, we propose to feed the …See details»
Deja-Vu: Double Feature Presentation And Iterated Loss In Deep ...
To train this model's intermediate output hypothesis, we apply the objective function at each layer right before feature re-use. We find that the use of such iterated loss significantly improves …See details»
Double feature selection algorithm based on low-rank sparse non ...
However, many of these algorithms only consider unilateral information about global or local geometric structure normally. To this end, this paper proposes a new feature selection …See details»
Fuzzy-Inspired Biosensing Strategy for Double-Feature Tumor ...
This paper proposes a novel fuzzy-inspired biosensing strategy for contrast-enhanced tumor classification by using multiple features of the disease. Specifically, the proposed strategy …See details»
Application of dual branch and bidirectional feedback feature ...
5 hours ago The model employs a dual-branch feature extraction network. This dual-branch structure enables the simultaneous extraction of different types of features, such as local and …See details»
DTFD-MIL: Double-Tier Feature Distillation Multiple Instance …
Multiple instance learning (MIL) has been increasingly used in the classification of histopathology whole slide images (WSIs). However, MIL approaches for this specific classification problem …See details»