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mymuli's Projects

dla icon dla

Code for the CVPR Paper "Deep Layer Aggregation"

dmnet icon dmnet

Dynamic Multi-scale Filters for Semantic Segmentation (DMNet ICCV'2019)

do-conv icon do-conv

Depthwise Over-parameterized Convolutional Layer

dolg icon dolg

Pytorch Implementation of DOLG (ICCV 2021)

drit icon drit

Learning diverse image-to-image translation from unpaired data

dropblock icon dropblock

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

droploss icon droploss

Implementation of DropLoss for Long-Tail Instance Segmentation in Pytorch

drs icon drs

Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation

dsmil-wsi icon dsmil-wsi

DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image

dsran icon dsran

Code for journal paper "Learning Dual Semantic Relations with Graph Attention for Image-Text Matching", TCSVT, 2020.

e2e-glstm-sc icon e2e-glstm-sc

td--gLSTM--论文实现《Image Caption Generation with Text-Conditional Semantic Attention》

ecanet icon ecanet

Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

ecn icon ecn

Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification CVPR 2019

edam icon edam

The code and pretrain models of EDAM-WSSS(Embedded Discriminative Attention Mechanism for Weakly Supervised Semantic Segmentation)

edgenets icon edgenets

pytorch实现论文--DiCENet和ESPNetv2

edgenext icon edgenext

Official repository of paper titled "EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications".

elastic icon elastic

pytorch论文实现《ELASTIC: Improving CNNs with Dynamic Scaling Policies》

eql.detectron2 icon eql.detectron2

The official implementation of Equalization Loss for Long-Tailed Object Recognition (CVPR 2020) based on Detectron2. https://arxiv.org/abs/2003.05176

eqlv2 icon eqlv2

The official implementation of Equalization Loss v1 & v2 (CVPR 2020, 2021) based on MMDetection. https://arxiv.org/abs/2012.08548 https://arxiv.org/abs/2003.05176

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