liuli9412

CVPR2024-Papers-with-Code

CVPR 2024 论文和开源项目合集

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

Awesome-Incremental-Learning

Awesome Incremental Learning

awesome-knowledge-distillation

Awesome Knowledge Distillation

tutorials

Tutorials for creating and using ONNX models

ENAS-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

fb.resnet.torch

Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts

senet.pytorch

PyTorch implementation of SENet

Awesome-AutoDL

Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)

RepDistiller

[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

semantic-segmentation

Nvidia Semantic Segmentation monorepo

awesome-cbir-papers

📝Awesome and classical image retrieval papers

dgcnn

Knowledge-Distillation-Zoo

Pytorch implementation of various Knowledge Distillation (KD) methods.

PaddleSlim

PaddleSlim is an open-source library for deep model compression and architecture search.

torchdistill

A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

SimpleCVReproduction

Replication of simple CV Projects including attention, classification, detection, keypoint detection, etc.

ros_exploring

《ROS机器人开发实践》源码

detr3d

structure_knowledge_distillation

The official code for the paper 'Structured Knowledge Distillation for Semantic Segmentation'. (CVPR 2019 ORAL) and extension to other tasks.

bottleneck-transformer-pytorch

Implementation of Bottleneck Transformer in Pytorch

ISDA-for-Deep-Networks

An efficient implicit semantic augmentation method, complementary to existing non-semantic techniques.

centerX

This repo is implemented based on detectron2 and centernet

DeepInversion

Official PyTorch implementation of Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion (CVPR 2020)

overhaul-distillation

Official PyTorch implementation of "A Comprehensive Overhaul of Feature Distillation" (ICCV 2019)

SKNet

try to implement the CVPR 2019 paper "Selective Kernel Networks" by PyTorch

simtrack

Exploring Simple 3D Multi-Object Tracking for Autonomous Driving (ICCV 2021)

wss

A simple consistency training framework for semi-supervised image semantic segmentation

My-CUDA-Work

A repository to store my cuda codes, including some common-used kernels.