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centermask

CenterMask : Real-Time Anchor-Free Instance Segmentation

centermulti

基于CenterNet训练的目标检测&人脸对齐&姿态估计模型

centertrack

Simultaneous object detection and tracking using center points.

clan

( CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation

closed-form-matting

Python implementation of A. Levin D. Lischinski and Y. Weiss. A Closed Form Solution to Natural Image Matting. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2006, New York

cnn-quantization

Quantization of Convolutional Neural networks.

codes-for-lane-detection

Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)

confidnet

Addressing Failure Prediction by Learning Model Confidence

cot

[ICLR'19] Complement Objective Training

cross-domain-detection

*Official* codes and datasets for 'Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation' [Inoue+, CVPR2018].

crowddet

cs-kd

Regularizing Class-wise Predictions via Self-knowledge Distillation (CVPR 2020)

csp

High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection, CVPR, 2019

cutmix

a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.

cvpr2019_pyramid-feature-attention-network-for-saliency-detection

code and model of Pyramid Feature Selective Network for Saliency detection

d2det

D2Det, CVPR2020

da-retinanet

Official Detectron2 implementation of DA-RetinaNet of our Image and Vision Computing 2021 work 'An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites'

da_detection

Implementation of "Strong-Weak Distribution Alignment for Adaptive Object Detection"

dabnn

dabnn is an accelerated binary neural networks inference framework for mobile platform

dac2020__thuthinker

daht

dain

Depth-Aware Video Frame Interpolation (CVPR 2019)

deep-image-matting

Deep Image Matting

deep-learning-localization-mapping

A collection of deep learning based localization models

deepfusionmot

deficient-efficient

Successfully training approximations to full-rank matrices for efficiency in deep learning.

den

Lifelong Learning with Dynamically Expandable Networks

detr

End-to-End Object Detection with Transformers

dise-domain-invariant-structure-extraction

Pytorch Implementation -- All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation, CVPR 2019

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller