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sift-image-keypoint-feature-extraction

Scale-invariant feature transform (SIFT) is an algorithm for detecting and describing local features in images (Lowe, D., IJCV Vol 64(2), pp.91–110, 2004). Key stages for SIFT are the following: (i) scale-space extrema detection, (ii) keypoint localization, (iii) Orientation assignment, and (iv) keypoint descriptor.In this python scripting, I have implemented the SIFT algorithm in python and tested with SIFT-test1.png and SIFT-test2.png image files.

siftgpu

simclr

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

sin

CVPR 2018: Structure Inference Net for Object Detection

slimyolov3

This page is for the SlimYOLOv3: Narrower, Faster and Better for UAV Real-Time Applications

sltk

An OpenCV-based structured light processing toolkit.

sniper

SNIPER is an efficient multi-scale object detection algorithm

spcl

Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID

sphp

transplant the code of SPHP from matlab to C++

sphp_image_stitching

描述支持中文

spp_net

SPP_net : Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

ssd-tensorflow

Single Shot MultiBox Detector in TensorFlow

sst

Single Shot Tracker

stargan-v2

StarGAN v2 - Official PyTorch Implementation (CVPR 2020)

state-information

[CVPR20] Weakly supervised discriminative learning with state information for person identification

supcon-framework

Implementation of Supervised Contrastive Learning with AMP, EMA, SWA, and many other tricks

supergluepretrainednetwork

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

sw-sift

Matlab implementation of sift(opensift) algorithm.

synchronized-batchnorm-pytorch

Synchronized Batch Normalization implementation in PyTorch.

tensorflow

An Open Source Machine Learning Framework for Everyone

tensortrade

An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

test2018

text-to-text-transfer-transformer

Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

tf-lift

Tensorflow port of LIFT (ECCV 2016), with training code.

tilde

Repository for "TILDE: A Temporally Invariant Learned DEtector", CVPR2015

training

Reference implementations of training benchmarks

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

u-2-net

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

uda

Unsupervised Data Augmentation (UDA)

unequal-training-for-deep-face-recognition-with-long-tailed-noisy-data

Code for CVPR2019 paper《Unequal Training for Deep Face Recognition with Long Tailed Noisy Data》