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DeepHash-pytorch

Implementation of Some Deep Hash Algorithms, Including DPSH、DSH、DHN、HashNet、DSDH、DTSH、DFH、GreedyHash、CSQ.

Language:PythonMIT48700

CBAM.PyTorch

Non-official implement of Paper：CBAM: Convolutional Block Attention Module

Language:Python131200

MultimediaRetrieval

3D model retrieval system (similar to Google Image Search, but for 3D models).

Language:C++600

pyLSHash

Locality Sensitive Hashing, fuzzy-hash， min-hash, simhash, aHash, pHash, dHash。基于 Hash值的图片相似度、文本相似度

Language:PythonMIT5000

SparseLSH

A Locality Sensitive Hashing (LSH) library with an emphasis on large, highly-dimensional datasets.

Language:PythonNOASSERTION14100

ImageRetrieval-LSH

离线构建大规模图像特征索引库，实现在线相似图片精准查询

Language:Python7200

LSH

Locality Sensitive Hashing using MinHash in Python/Cython to detect near duplicate text documents

Language:PythonMIT27600

datasketch

MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW

Language:PythonMIT248600

LSHash

A fast Python implementation of locality sensitive hashing.

Language:PythonMIT65900

CBIR-demos

本项目基于ImageNet数据集预训练的VGG16和ResNet34网络模型，微调以提取遥感图像特征。我们尝试了多种特征聚合方法，通过使用PCA降维技术和扩展查询技术来优化特征存储、向量计算和特征检索效果。此外，我们还采用局部敏感哈希算法（LSH）实现了大规模遥感图像检索。该算法在UCMD数据集上进行了性能验证。

Language:Jupyter Notebook2400

CorrReg

Code for paper "Deep Multi-View Learning Using Neuron-Wise Correlation-Maximizing Regularizers"

Language:LuaMIT900

view-GCN

Pytorch code for view-GCN (CVPR2020)

Language:Python7100

AttSets

🔥AttSets in Tensorflow (IJCV 2019)

Language:PythonMIT5500

PVRNet

PVRNet: Point-View Relation Neural Network for 3D Shape Recognition (AAAI 2019)

Language:PythonMIT4500

Pixel2MeshPlusPlus

Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation. In ICCV2019.

Language:PythonBSD-3-Clause35500

emvn

Demo source code for the paper "Equivariant Multi-View Networks".

Language:PythonMIT5600

MVTN

pytorch implementation of the ICCV'21 paper "MVTN: Multi-View Transformation Network for 3D Shape Recognition"

Language:Python9500

keras-triplet-center-loss

Simple Keras implementation of Triplet-Center Loss on the MNIST dataset

Language:PythonGPL-3.04400

External-Attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

Language:PythonMIT1120900

attention-module

Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

Language:PythonMIT202500

3D-shape-retrieval

针对三维模型检索，并采用卷积神经网络，提出两个算法：1.采用体素化深层特征进行训练。2. 采用虚拟摄像机抓取多角度视图特征进行训练。

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annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Language:PythonMIT5283600

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