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刘国友's Projects

centermask icon centermask

CenterMask : Real-Time Anchor-Free Instance Segmentation

centernet icon centernet

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

cfnet icon cfnet

(CVPR'17) Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to achieve state-of-the-art performance in tracking, at high-speed.

cges icon cges

Combined Group and Exclusive Sparsity for Deep Neural Networks

cglm icon cglm

Optimized OpenGL/Graphics Math (glm) for C

chihuahua icon chihuahua

🐶chihuahua - tiny & fast rendering library

chineseglue icon chineseglue

Language Understanding Evaluation benchmark for Chinese: datasets, baselines, pre-trained models,corpus and leaderboard

chnn icon chnn

caffe-forward without dependencies

cie_xyz_net icon cie_xyz_net

PyTorch & Matlab code for the paper: CIE XYZ Net: Unprocessing Images for Low-Level Computer Vision Tasks. TPAMI, 2021.

cips icon cips

Official implementation of the paper Image Generators with Conditionally-Independent Pixel Synthesis https://arxiv.org/abs/2011.13775

classnseg icon classnseg

Implementation and demonstration of the paper: Multi-task Learning for Detecting and Segmenting Manipulated Facial Images and Videos

classyvision icon classyvision

An end-to-end PyTorch framework for image and video classification

cldnn icon cldnn

Compute Library for Deep Neural Networks (clDNN)

clip icon clip

Contrastive Language-Image Pretraining

clipper icon clipper

A low-latency prediction-serving system

cliquenet icon cliquenet

Convolutional Neural Networks with Alternately Updated Clique (to appear in CVPR 2018)

clothes_parsing icon clothes_parsing

Code for the paper 'A High Performance CRF Model for Clothes Parsing'.

clover icon clover

Clover: Quantized 4-bit Linear Algebra Library

clsa icon clsa

official implemntation for "Contrastive Learning with Stronger Augmentations"

clsparse icon clsparse

a software library containing Sparse functions written in OpenCL

cmc icon cmc

pytorch implementation of "Contrastive Multiview Coding", "Momentum Contrast for Unsupervised Visual Representation Learning", and "Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination"

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