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awesome-local-global-descriptor

My personal note about local and global descriptor

bow-retrival

BOW algorithm based on color histogram.

capslayer

CapsLayer: An advanced library for capsule theory

capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules

cnnimageretrieval

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

dsfh

Deep-seated features histogram: A novel image retrieval method

google-landmark

Dataset with 5 million images depicting human-made and natural landmarks spanning 200 thousand classes.

hashing-baseline-for-image-retrieval

:octocat:Various hashing methods for image retrieval and serves as the baselines

hewr

Matlab code for "Deep Feature Aggregation and Image Re-ranking with Heat Diffusion for Image Retrieval"

itti-saliency-based-visual-attention

MATLAB implementation of the Saliency-Based Visual Attention model proposed by Laurent Itti in 1998.

netvlad

NetVLAD: CNN architecture for weakly supervised place recognition

osah

OSAH method (Object Semantic Aggregation Histogram)

pytorch-pretrained-vit

Vision Transformer (ViT) in PyTorch

relja_matlab

Miscellaneous utilities

repmlp

RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition

repvgg

RepVGG: Making VGG-style ConvNets Great Again

saliency

Computing saliency map according to itti's '98 model

selectiveconvfeature

sift-on-matlab

This is an Implementation of "SIFT Features" on MatLab.

simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

swin-transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

tasks_for_rookies

视觉实验室新手任务

texture-vs-shape

Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)

transforming-autoencoders

Transforming Autoencoder (Hinton et al.) implementation in TensorFlow. A way to get hands dirty with Hinton's capsules.

vlad

vlad image processing algorithm