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a-pytorch-tutorial-to-image-captioning

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

acmix

Official repository of ACmix (CVPR2022)

adaattn

Officially unofficial PyTorch re-implementation of paper: AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer, ICCV 2021.

adaface

aim_fas

Implementation of the paper "Learning Meta Model for Zero- and Few-shot Face Anti-spoofing"

alive_detect

antispoofing

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

audio-steganography-algorithms

A Library of Audio Steganography & Watermarking Algorithms

blindwatermark

使用盲水印保护创作者的知识产权using invisible watermark to protect creator's intellectual property

bottleneck-transformer-pytorch

Implementation of Bottleneck Transformer in Pytorch

brushstroke-parameterized-style-transfer

TensorFlow implementation of our CVPR 2021 Paper "Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes".

caffe

Caffe: a fast open framework for deep learning.

casia-surf_cefa

Face Anti-spoofing Attack Detection Challenge@CVPR2020

ccpl

Official Pytorch implementation of CCPL and SCTNet (ECCV2022, Oral)

cdcn

Central Difference Convolutional Networks

circleloss

Pytorch implementation of the paper "Circle Loss: A Unified Perspective of Pair Similarity Optimization"

circleloss_face

pytorch CircleLoss for Face recognition

cocoapi

COCO API - Dataset @ http://cocodataset.org/

conv-mlp

correlationneuralstyletransfer

cvpr19-face-anti-spoofing

Code for 2nd Place Solution in Face Anti-spoofing Attack Detection Challenge @ CVPR2019

cvpr2022-paper-code-interpretation

cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

cvpr_ssf-rgbd

codes of SSF_RGBD

cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

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.

dependencyvit

Visual Dependency Transformers: Dependency Tree Emerges from Reversed Attention (CVPR 2023)

deraindrop

pytorch implementation: Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR'2018)

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.