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The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

Google Brain AutoML

18-19目标检测论文汇总

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

Pytorch inception v4 for human actions recognition.

Receptive Field Block Net for Accurate and Fast Object Detection, ECCV 2018

yolov3 with mobilenet v2 and ASFF

Implementation Thundernet

M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network

Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (CVPR 2019 Oral)

A curated list of neural network pruning resources.

在 oxford hand 数据集上对 YOLOv3 做模型剪枝（network slimming）

Pytorch implementation of convolutional neural network visualization techniques

Network Slimming (Pytorch) (ICCV 2017)

A Simple and Versatile Framework for Object Detection and Instance Recognition

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

OpenMMLab Detection Toolbox and Benchmark

A PyTorch Implementation of Single Shot MultiBox Detector

Pytorch implementation of various Knowledge Distillation (KD) methods.

Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.

Flops counter for convolutional networks in pytorch framework

Gluon CV Toolkit

Object detection, 3D detection, and pose estimation using center point detection:

The implementation of “Gradient Harmonized Single-stage Detector” published on AAAI 2019.

Lists the papers related to imbalance problems in object detection [TPAMI]

Bounding Box Regression with Uncertainty for Accurate Object Detection (CVPR'19)

A PyTorch implementation of DenseNet.

PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference