ahmdtaha/svmax

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Python
License
Apache License 2.0
Created over 3 years ago
Updated almost 2 years ago

ahmdtaha/svmax

ahmdtaha

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SVMax : A Feature Embedding Regularizer

knowledge_evolution

(CVPR-Oral 2021) PyTorch implementation of Knowledge Evolution approach and Split-Nets

constrained_attention_filter

(ECCV2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

tf_retrieval_baseline

A Tensorflow retrieval (space embedding) baseline. Metric learning baseline on CUB and Stanford Online Products.

FineGrainedVisualRecognition

Fine grained visual recognition tensorflow baseline on CUB, Stanford Cars, Dogs, Aircrafts, and Flower102.

softmax_triplet_loss

(WACV 2020) Tensorflow implementation of Boosting Standard Classification Architectures Through a Ranking Regularizer

simsiam

Pytorch implementation of Exploring Simple Siamese Representation Learning

TextureClassification_FilterBank

This repos provides an MATLAB code implementation for the Statistical Approach to Texture Classification from Single Images paper by Varma et. al.

distributed_sigmoid_loss

Unofficial implementation for Sigmoid Loss for Language Image Pre-Training

l2_caf_pytorch

(ECCV2020) PyTorch implementation of A Generic Visualization Approach for Convolutional Neural Networks

LatLongLib

Small Java library for manipulating GPS coordinates in various formats.

conference_notes

My highlights and notes about conference papers

SL_jrl

Seeded Laplacian Version 2

Walsh-Hadamard-Kernel

This C++ code provides an implementation for generating image-patches descriptor using Walsh Hadamard kernel (transform)

SL-icip

This repository contains SL code. SL is an image segmentation matlab code. The work in SL was accepted in ICIP 2015

828j

ssl_opt

Optimized matlab code for computing Laplacian eigenvectors using Laplace Beltrami operator eigenfunctions in Semi-supervised Learning.

mnist_deploy

C++ code that loads mnist trained model using caffe. It used the model to classify digits from png images