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Image Retrieval

157 papers with code ยท Computer Vision

Image retrieval systems aim to find similar images to a query image among an image dataset.

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Sketchformer: Transformer-based Representation for Sketched Structure

24 Feb 2020

Sketchformer is a novel transformer-based representation for encoding free-hand sketches input in a vector form, i. e. as a sequence of strokes.

DICTIONARY LEARNING SKETCH-BASED IMAGE RETRIEVAL TOKENIZATION

Sketch Less for More: On-the-Fly Fine-Grained Sketch Based Image Retrieval

24 Feb 2020

Fine-grained sketch-based image retrieval (FG-SBIR) addresses the problem of retrieving a particular photo instance given a user's query sketch.

CROSS-MODAL RETRIEVAL SKETCH-BASED IMAGE RETRIEVAL

Fine-Grained Instance-Level Sketch-Based Video Retrieval

21 Feb 2020

Existing sketch-analysis work studies sketches depicting static objects or scenes.

CROSS-MODAL RETRIEVAL IMAGE RETRIEVAL VIDEO RETRIEVAL

Layer-wise Pruning and Auto-tuning of Layer-wise Learning Rates in Fine-tuning of Deep Networks

14 Feb 2020

Existing fine-tuning methods use a single learning rate over all layers.

IMAGE RETRIEVAL

CBIR using features derived by Deep Learning

13 Feb 2020

In a Content Based Image Retrieval (CBIR) System, the task is to retrieve similar images from a large database given a query image.

CONTENT-BASED IMAGE RETRIEVAL IMAGE CLASSIFICATION

Constrained Dominant sets and Its applications in computer vision

12 Feb 2020

In this thesis, we present new schemes which leverage a constrained clustering method to solve several computer vision tasks ranging from image retrieval, image segmentation and co-segmentation, to person re-identification.

IMAGE RETRIEVAL PERSON RE-IDENTIFICATION SEMANTIC SEGMENTATION

Comprehensive and Efficient Data Labeling via Adaptive Model Scheduling

8 Feb 2020

With limited computing resources and stringent delay, given a data stream and a collection of applicable resource-hungry deep-learning models, we design a novel approach to adaptively schedule a subset of these models to execute on each data item, aiming to maximize the value of the model output (e. g., the number of high-confidence labels).

IMAGE RETRIEVAL

Random VLAD based Deep Hashing for Efficient Image Retrieval

6 Feb 2020

In addition, the proposed random VLAD layer leads to satisfactory accuracy with low complexity, thus shows promising potentials as an alternative to NetVLAD.

IMAGE RETRIEVAL QUANTIZATION

Enhancing Feature Invariance with Learned Image Transformations for Image Retrieval

5 Feb 2020

Off-the-shelf convolutional neural network features achieve state-of-the-art results in many image retrieval tasks.

IMAGE RETRIEVAL

Deep Multi-View Enhancement Hashing for Image Retrieval

1 Feb 2020

Therefore, we try to introduce the multi-view deep neural network into the hash learning field, and design an efficient and innovative retrieval model, which has achieved a significant improvement in retrieval performance.

IMAGE RETRIEVAL