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a-loam

Advanced implementation of LOAM

addons

Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

alignedreid-re-production-pytorch

Reproduce AlignedReID: Surpassing Human-Level Performance in Person Re-Identification, using Pytorch.

ann-benchmarks

Benchmarks of approximate nearest neighbor libraries in Python

awesome-cbir-papers

📝Awesome and classical image retrieval papers

awesome-cheatsheets

超级速查表 - 编程语言、框架和开发工具的速查表，单个文件包含一切你需要知道的东西 :zap:

benchmark_results

visual tracker benchmark results

beyondboundingbox

caffe_building_train

caffe_own

private caffe with customized layers

caffe_to_torch_to_pytorch

casia-csvt-ch-subset

circulant_matrix_tracker

Python port of João F. Henriques circulant matrix tracker

cnngeometric_matconvnet

CNNGeometric MatConvNet implementation

cnnimageretrieval

CNNImageRetrieval: Training and evaluating CNNs for Image Retrieval

cnnimageretrieval-pytorch

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

colmap

COLMAP - Structure-from-Motion and Multi-View Stereo

compact_bilinear_pooling

MatConvNet and Caffe repo with compact bilinear and bilinear pooling functionality added

conditional-similarity-networks

crow

Cross-dimensional weighting for aggregated deep convolutional features.

dasiamrpn

Distractor-aware Siamese Networks for Visual Object Tracking (ECCV2018)

dat

Repository of Vision Transformer with Deformable Attention

dcfnet_pytorch

DCFNet: Discriminant Correlation Filters Network for Visual Tracking

dcrnn

Implementation of Diffusion Convolutional Recurrent Neural Network

deep-learning-tricks

Enumerate diverse machine learning training tricks.

deep-metric-learning-cvpr16

Main repository for Deep Metric Learning via Lifted Structured Feature Embedding

deep-patchmatch

Pre-trained models for our CVPR 2016 paper: "Learning Local Image Descriptors With Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions"

deep-residual-networks

Deep Residual Learning for Image Recognition

deepcd

[ICCV17] DeepCD: Learning Deep Complementary Descriptors for Patch Representations

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.