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amusi-note

Amusi 笔记

asl

Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(2020) paper

atss-efficientdet-pytorch

ATSS-EfficientDet implemented in PyTorch, outperforming the original EfficientDet. Weights are released.

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

attentionmodule

PyTorch Implementation of Residual Attention Network for Semantic Segmentation.

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-image-captioning

A curated list of image captioning and related area resources. :-)

awesome-multi-label-image-recognition

Awesome Multi-label Image Recognition Paper List

awesome-visual-captioning

This repository focus on Image Captioning & Video Captioning & Seq-to-Seq Learning & NLP

balancedgroupsoftmax

CVPR 2020 oral paper: Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax.

bottom-up-attention

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

bottom-up-attention-vqa

An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.

bottom-up-top-down-attention-pytorch

ca-captioner

Code of paper "CA-Captioner: A Novel Concentrated Attention for Image Captioning "

clip-caption-reward

PyTorch code for "Fine-grained Image Captioning with CLIP Reward" (Findings of NAACL 2022)

cnic

Chinese Image captioning method based on deep multimodal semantic fusion

coco-caption

cocoapi

COCO API - Dataset @ http://cocodataset.org/

code-and-dataset-for-capsal

This project provides the code and datasets for 'CapSal: Leveraging Captioning to Boost Semantics for Salient Object Detection', CVPR 2019.

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

customized-dataloader-pytorch

Customized DataLoader for multi label dataset classification-pytorch implementation

cvnd---image-captioning-project

dab-detr

[ICLR 2022] DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR

deepcaption

DeepCaption is a PyTorch-based framework for image captioning research using deep learning.

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

densecap

Dense captioning with joint inference and visual context

densecap-tensorflow

Re-implement CVPR2017 paper: "dense captioning with joint inference and visual context" and minor changes in Tensorflow. (mAP 8.296 after 500k iters of training)

detr

End-to-End Object Detection with Transformers

diffusion-image-captioning

implementation of paper https://arxiv.org/abs/2210.04559

distribution-is-all-you-need

The basic distribution probability Tutorial for Deep Learning Researchers