[CVPR 2022 Oral] AdaMixer: A Fast-Converging Query-Based Object Detector

[CVPR 2021] TDN: Temporal Difference Networks for Efficient Action Recognition

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

Implementation of CondConv: Conditionally Parameterized Convolutions for Efficient Inference in PyTorch.

VoVNet, MobileNet, ShuffleNet backbone networks and SKU-110K dataset for detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

MS-Loss: Multi-Similarity Loss for Deep Metric Learning

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

Learning Correspondence from the Cycle-consistency of Time (CVPR 2019)

CVPR 2019 Translate-to-Recognize Networks for RGB-D Scene Recognition

CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images

An implementation of MURA Dataset Towards Radiologist-Level Abnormality Detection in Musculoskeletal Radiographs

PyTorch based Deep Learning Toolbox

🤘 LabelImg is a graphical image annotation tool and label object bounding boxes in images

Faster RCNN with ResNet for ImageNet Detection

Demo code for PVANet

ImageNet pre-trained models with batch normalization

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks

source code for the paper "Hard-Aware-Deeply-Cascaed-Embedding"

Reproduce ResNet-v3(Aggregated Residual Transformations for Deep Neural Network) with Caffe

Class Activation Mapping