🌅The code of post "Image retrieval using MatconvNet and pre-trained imageNet"

Various hashing methods for image retrieval and serves as the baselines

TOMM2020 Dual-Path Convolutional Image-Text Embedding with Instance Loss 🐾 https://arxiv.org/abs/1711.05535

CNN Image Retrieval in MatConvNet: Training and evaluating CNNs for Image Retrieval in MatConvNet

Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations

source code for paper "Asymmetric Deep Supervised Hashing" on AAAI-2018

Content Based Image Retrieval Techniques (e.g. knn, svm using MatLab GUI)

Code for CVPR 2018 paper "Hashing as Tie-Aware Learning to Rank"

Implementation of our ICCV 2017 paper: MIHash - Hashing with Mutual Information

Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization (TPAMI2018)

Matlab implementation of "K-Nearest Neighbors Hashing" (CVPR2019)

AG2E: A novel adaptive graph based multi-label learning framework for multi-label annotation, image retrieval, and other applications.

Code for papers "Hashing with Mutual Information" (TPAMI 2019) and "Hashing with Binary Matrix Pursuit" (ECCV 2018)

Video retrieval from query images

A novel deep hashing method (DHCNN) for remote sensing image retrieval and classification, which was pulished in IEEE Trans. Geosci. Remote Sens., 2021.

Why-So-Deep: Towards Boosting Previously Trained Models for Visual Place Recognition (MAQBOOL)

Cross-batch reference learning for deep classification and retrieval, ACM MM 2016

An efficient framework for image retrieval using color, texture and edge features. Implementation of a research paper. Shows similar images based on input image. Improved CBIR process is implemented in Matlab.

G.-H. Liu, J.-Y. Yang. Deep-seated features histogram: A novel image retrieval method, Pattern recognition,116（2021）107926.

Huei-Fang Yang, Kevin Lin, Ting-Yen Chen, and Chu-Song Chen, "Cross-batch Reference Learning for Deep Retrieval," IEEE Transactions on Neural Networks and Learning Systems, 2019