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ttl518's Projects

delf-pytorch icon delf-pytorch

PyTorch Implementation of "Large-Scale Image Retrieval with Attentive Deep Local Features"

densenet-keras icon densenet-keras

DenseNet Implementation in Keras with ImageNet Pretrained Models

disan icon disan

Code of Directional Self-Attention Network (DiSAN)

dive-into-dl-pytorch icon dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

dla icon dla

Code for the CVPR Paper "Deep Layer Aggregation"

dolg-tensorflow icon dolg-tensorflow

Implementation of Deep Orthogonal Fusion of Local and Global Features in TensorFlow 2

eccv2020_diva_multifeature_dml icon eccv2020_diva_multifeature_dml

(ECCV 2020) This repo contains code for "DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning" (https://arxiv.org/abs/2004.13458), which extends vanilla DML with auxiliary and self-supervised features.

egt icon egt

Code for the CVPR'19 paper "Explore-Exploit Graph Traversal for Image Retrieval"

euler icon euler

my solutions for euler project questions with python

f3net icon f3net

Codes for the AAAI 2020 paper "F3Net: Fusion, Feedback and Focus for Salient Object Detection"

faiss icon faiss

A library for efficient similarity search and clustering of dense vectors.

falconn icon falconn

FAst Lookups of Cosine and Other Nearest Neighbors (based on fast locality-sensitive hashing)

few-shot icon few-shot

Repository for few-shot learning machine learning projects

fewshotpapers icon fewshotpapers

This repository contains few-shot learning (FSL) papers mentioned in our FSL survey.

fgcrossnet_acmmm2019 icon fgcrossnet_acmmm2019

Source code of our ACM MM 2019 paper "A New Benchmark and Approach for Fine-grained Cross-media Retrieval".

findpapers icon findpapers

Findpapers: A tool for helping researchers who are looking for related works

fscil icon fscil

Official repository for Few-Shot Class-Incremental Learning (FSCIL)

gcd icon gcd

PyTorch implementation for global descriptors for image retrieval

gms-feature-matcher icon gms-feature-matcher

GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence (CVPR 17 & IJCV 19)

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