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centernet-multi-func-det

Enhanced CenterNet performs multi field task.

centertrack

Simultaneous object detection and tracking using center points.

centerx

This repo is implemented based on detectron2 and centernet

clustering-from-scratch

Implementation of K-Means and GMM from scratch using Pytorch.

cnn-explainer

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

cnn_age_gender

Age and Gender prediction using Keras

condensenet

CondenseNet: Light weighted CNN for mobile devices

cpg

Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, and Chu-Song Chen, "Compacting, Picking and Growing for Unforgetting Continual Learning," Thirty-third Conference on Neural Information Processing Systems, NeurIPS 2019

csa-inpainting

Coherent Semantic Attention for image inpainting(ICCV 2019)

cvpr2019

cvpr2019 papers

cvui

A (very) simple UI lib built on top of OpenCV drawing primitives

daily-paper-computer-vision

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

darknet-nnpack

darknet_nnpack_for_raspberry_pi3

Convolutional Neural Networks

darts

Differentiable architecture search for convolutional and recurrent networks

dbface

DBFace is a real-time, single-stage detector for face detection, with faster speed and higher accuracy

dc-shadownet-hard-and-soft-shadow-removal

[ICCV2021]DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised Domain-Classifier Guided Network, https://arxiv.org/pdf/2207.10434.pdf

decoupled-classification-refinement

The is an official implementation of our ECCV2018 paper "Revisiting RCNN: On Awakening the Classification Power of Faster RCNN (https://arxiv.org/abs/1803.06799)"

deep-head-pose

:fire::fire: Deep Learning Head Pose Estimation using PyTorch.

deep-person-reid

Deep learning person re-identification in PyTorch.

deeplabcut

Markerless pose estimation of user-defined features with deep learning for all animals, including humans

deform_conv_pytorch

PyTorch Implementation of Deformable Convolution

deformable-detr

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

deformable_convnet_pytorch

Pytorch implementation of Deformable Convolutional Network

densenas

Densely Connected Search Space for More Flexible Neural Architecture Search

depth-map-prediction-from-a-single-image-using-a-multi-scale-deep-network

PyTorch implementation of the paper

detr

End-to-End Object Detection with Transformers

dijkstra

Python implementation of Dijkstra's shortest path algorithm

dijkstra-1

Dijkstra - Shortest Path

dijkstra_heap

dijkstra algorithm optimized with heap