This repo is an implementation of PyTorch version YOLOV Series

Repository for "Visible-Thermal Tiny Object Detection: A Benchmark Dataset and Baselines"

Google/Bing Images Web Downloader

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

[NeurIPS 2021 Spotlight] Aligning Pretraining for Detection via Object-Level Contrastive Learning

Official implementation of the CVPR 2022 paper "DETReg: Unsupervised Pretraining with Region Priors for Object Detection".

This is an official implementation for "Self-Supervised Learning with Swin Transformers".

Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning, CVPR 2021

PyTorch implementation of Efficient Visual Pretraining with Contrastive Detection

[CVPR 2021] Instance Localization for Self-supervised Detection Pretraining

Implementation of momentum^2 teacher

Weakly-supervised object detection.

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.

Distillation for faster rcnn in classification,regression,feature level,feature level +mask

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

Implementation of CVPR 2019 paper: Distilling Object Detectors with Fine-grained Feature Imitation

Semi-supervised Adaptive Distillation is a model compression method for object detection.

FAIR Self-Supervised Learning Integrated Multi-modal Environment (SSLIME)

PyTorch API for GluonCV Models

A PyTorch implementation of EfficientNet

🤘 awesome-semantic-segmentation

Datasets, Transforms and Models specific to Computer Vision

Caffe on both Linux and Windows

Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .

YOLOv3 in PyTorch > ONNX > CoreML > TFLite