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automl

Google Brain AutoML

balanced-contrastive-learning

Code Release for “Balanced Contrastive Learning for Long-Tailed Visual Recognition”

ccnn

Code repository of the paper "Towards a General Purpose CNN for Long Range Dependencies in N-D" https://arxiv.org/abs/2206.03398.

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization. https://poloclub.github.io/cnn-explainer/

convnext

Code release for ConvNeXt model

crnn.caffe

crnn.caffe

csrnet-pytorch

CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

d4

Implementation of CVPR2022 "Self-augmented Unpaired Image Dehazing via Density and Depth Decomposition"

darknet2ncnn

Darknet2ncnn converts the darknet model to the ncnn model

dbnet.pytorch

A pytorch re-implementation of Real-time Scene Text Detection with Differentiable Binarization

deep-learning

深度学习/人工智能/机器学习资料汇总(Deep Learning/Artificial Intelligent/Machine Learning) 持续更新……

deep-learning-1

deep-residual-networks

Deep Residual Learning for Image Recognition

deep_learning_object_detection

A paper list of object detection using deep learning.

deeplearningbookqa_cn

深度学习面试问题 回答对应的DeepLearning中文版页码

depthshrinker

[ICML 2022] "DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks", by Yonggan Fu, Haichuan Yang, Jiayi Yuan, Meng Li, Cheng Wan, Raghuraman Krishnamoorthi, Vikas Chandra, Yingyan Lin

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

drowsiness-detection

dw

A Dual Weighting Label Assignment Scheme for Object Detection

eagleeye

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

edgeai-yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

ethereon-netscope

fgd

Focal and Global Knowledge Distillation for Detectors (CVPR 2022)

giantpandacv.com

www.giantpandacv.com

hdmapnet

hornet

HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions

human-segmentation-pytorch

Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

hyperlabelimg

开源图像标注工具(支持人脸关键点/不规则四边形/多边形标注)

imcl-framework