jianhua2022 Goto Github PK

ann

semantic segmentation，pytorch，non-local

aoanet

Code for paper "Attention on Attention for Image Captioning". ICCV 2019

arn

Adaptive Reconstruction Network for Weakly Supervised Referring Expression Grounding

awesome-action-recognition

A curated list of action recognition and related area resources

awesome-attention-mechanism-in-cv

:punch: 计算机视觉中用到的注意力模块和其他即插即用模块PyTorch Implementation Collection of Attention Module and Plug&Play Module

awesome-knowledge-distillation

Awesome Knowledge Distillation

awesome-multimodal-in-medical-imaging

A collection of resources on applications of multi-modal learning in medical imaging.

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

awesome-multimodal-research

A curated list of Multimodal Related Research.

awesome-panoptic-segmentation

Panoptic Segmentation Paper List.

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

awesome-vision-attentions

Summary of related papers on visual attention

bf-vos

Pytorch implementation of Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning (Chen et al)

bottom-up-attention

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

buptgraduatethesis

cmn

Code release for Hu et al. Modeling Relationships in Referential Expressions with Compositional Modular Networks. in CVPR, 2017

cpnet

Learning Video Representations from Correspondence Proposals (CVPR 2019 oral)

cross-modal_retrieval_tutorial

The Paper List of Image-Text Matching for Preliminary Insight.

cvpr-latex-template

Extended LaTeX template for CVPR/ICCV papers

danet

Dual Attention Network for Scene Segmentation (CVPR2019)

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deep-flow

deep-learning-models

Deep Learning Models implemented in python.

deep-learning-semantic-segmentation

A paper list of semantic segmentation using deep learning.

deeplab-pytorch

deeplab_v3

Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning_tutorials

The deeplearning algorithms implemented by tensorflow

deformable-detr

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

dimensionality_reduction_alo_codes

特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现