Papers Image Instance Retrieval

“Image Instance Retrieval” 태그가 달린 논문 6편 · 필터 해제

Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval

2020-07-23 · ECCV 2020 8 · Andrew Brown, Weidi Xie, Vicky Kalogeiton, Andrew Zisserman

Optimising a ranking-based metric, such as Average Precision (AP), is notoriously challenging due to the fact that it is non-differentiable, and hence cannot be optimised directly using gradient-descent methods. To this …

Image Instance Retrieval Image Retrieval Metric Learning Retrieval+1

Pruning Convolutional Neural Networks for Image Instance Retrieval

2017-07-18 · Gaurav Manek, Jie Lin, Vijay Chandrasekhar, Ling-Yu Duan 외

In this work, we focus on the problem of image instance retrieval with deep descriptors extracted from pruned Convolutional Neural Networks (CNN). The objective is to heavily prune convolutional edges while maintaining r…

Image Instance Retrieval Retrieval Triplet

Compression of Deep Neural Networks for Image Instance Retrieval

2017-01-18 · Vijay Chandrasekhar, Jie Lin, Qianli Liao, Olivier Morère 외

Image instance retrieval is the problem of retrieving images from a database which contain the same object. Convolutional Neural Network (CNN) based descriptors are becoming the dominant approach for generating {\it glob…

Image Instance Retrieval Model Compression Quantization Retrieval

Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval

2016-03-15 · Olivier Morère, Jie Lin, Antoine Veillard, Vijay Chandrasekhar 외

The goal of this work is the computation of very compact binary hashes for image instance retrieval. Our approach has two novel contributions. The first one is Nested Invariance Pooling (NIP), a method inspired from i-th…

Image Instance Retrieval Retrieval Translation

Group Invariant Deep Representations for Image Instance Retrieval

2016-01-09 · Olivier Morère, Antoine Veillard, Jie Lin, Julie Petta 외

Most image instance retrieval pipelines are based on comparison of vectors known as global image descriptors between a query image and the database images. Due to their success in large scale image classification, repres…

Dimensionality Reduction image-classification Image Classification Image Instance Retrieval+2

A Practical Guide to CNNs and Fisher Vectors for Image Instance Retrieval

2015-08-11 · Vijay Chandrasekhar, Jie Lin, Olivier Morère, Hanlin Goh 외

With deep learning becoming the dominant approach in computer vision, the use of representations extracted from Convolutional Neural Nets (CNNs) is quickly gaining ground on Fisher Vectors (FVs) as favoured state-of-the-…

image-classification Image Classification Image Instance Retrieval Image Retrieval+1