yirui-fafa Goto Github PK

atss

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

automaticweightedloss

Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning

awesome-knowledge-distillation

Awesome Knowledge Distillation

awesome-pruning

A curated list of neural network pruning resources.

cbam.pytorch

Non-official implement of Paper：CBAM: Convolutional Block Attention Module

center-and-scale-prediction-csp-pytorch

Pytorch implementation of CSP

convolution-visualizer

Convolution visualizations

crossstagepartialnetworks

Cross Stage Partial Networks

deep-compression

Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626

distilling-the-knowledge-in-neural-network

Teaches a student network from the knowledge obtained via training of a larger teacher network

dna

Block-wisely Supervised Neural Architecture Search with Knowledge Distillation (CVPR 2020)

eagleeye

(ECCV'2020 Oral)EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning

easypr

An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.

facerec

Implements face recognition algorithms for MATLAB/GNU Octave and Python.

fastsam

Fast Segment Anything

gitskills

gradient-centralization

A New Optimization Technique for Deep Neural Networks

hrank

Pytorch implementation of our paper accepted by CVPR 2020 (Oral) -- HRank: Filter Pruning using High-Rank Feature Map

imagenet21k

Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(2021) paper

imgaug

Image augmentation for machine learning experiments.

internimage

[CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions

jd_seckill

京东茅台抢购，不支持其他商品！愿大家与黄牛站在同一个起跑线，公平的参与这场抢茅大赛。

maskdino

[CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"

meal

Official Implementation of MEAL: Multi-Model Ensemble via Adversarial Learning on AAAI 2019

meal-v2

MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks

mmrazor

OpenMMLab Model Compression Toolbox and Benchmark.

mobilesam-pytorch

Reproduction of MobileSAM using pytorch

multi-task-learning-pytorch

PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).

nts_net

细粒度分类

person-attribute-recognition-marketduke

A simple baseline implemented in PyTorch for pedestrian attribute recognition task, evaluating on Market-1501 and DukeMTMC-reID dataset.