hengxyz Goto Github PK

aim_fas

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

albumentations

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

alpaca-lora

Instruct-tune LLaMA on consumer hardware

atss

Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection, CVPR, Oral, 2020

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

awesome-transformers-in-medical-imaging

A collection of resources on applications of Transformers in Medical Imaging.

awesome-visual-transformer

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

baidupcs

百度网盘命令行工具。The terminal utility for Baidu Network Disk.

bayesian-machine-learning

Notebooks related to Bayesian methods for machine learning

bayesian-neural-network-blogpost

Building a Bayesian deep learning classifier

bottleneck-transformer-pytorch

Implementation of Bottleneck Transformer in Pytorch

bts

From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

byol-pytorch

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

cari-visual-recognition-via-multitask-learning

Tensorflow and python realization of the cari-visual recogntion via multi-task learning

cdcn

Central Difference Convolutional Networks

chatpaper

Use ChatGPT to summarize the arXiv papers.

clip

Contrastive Language-Image Pretraining

compact-transformers

[Preprint] Escaping the Big Data Paradigm with Compact Transformers, 2021

concretedropout

Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832

corrflow

Self-supervised Learning for Video Correspondence Flow (BMVC 2019)

cvd-physiological-measurement

Video-based Remote Physiological Measurement via Cross-verified Feature Disentangling. (ECCV2020 oral)

cvpr2019-deeptreelearningforzeroshotfaceantispoofing

da_dahazing

Domain Adaptation for Image Dehazing, CVPR2020

decur

DeCUR: decoupling common & unique representations for multimodal self-supervision.

deep-mutual-learning

TensorFlow Implementation of Deep Mutual Learning

deformable-detr

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

deft

Joint detection and tracking model named DEFT, or ``Detection Embeddings for Tracking." Our approach relies on an appearance-based object matching network jointly-learned with an underlying object detection network. An LSTM is also added to capture motion constraints.

deit

Official DeiT repository

distributed-vgg-f

Distributed training of a VGG neural network using PyTorch Distributed Data Parallel module

docformer

Implementation of DocFormer: End-to-End Transformer for Document Understanding, a multi-modal transformer based architecture for the task of Visual Document Understanding (VDU)