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AcodeC's Projects

aat icon aat

Code for paper "Adaptively Aligned Image Captioning via Adaptive Attention Time". NeurIPS 2019

adv-inf icon adv-inf

Adversarial Inference for Multi-Sentence Video Descriptions (CVPR 2019)

awesome-captioning icon awesome-captioning

A curated list of Multimodal Captioning related research(including image captioning, video captioning, and text captioning)

be icon be

[CVPR2021] The source code for our paper 《Removing the Background by Adding the Background: Towards Background Robust Self-supervised Video Representation Learning》.

blvnet-tam icon blvnet-tam

The official Codes for NeurIPS 2019 paper. Quanfu Fan, Ricarhd Chen, Hilde Kuehne, Marco Pistoia, David Cox, "More Is Less: Learning Efficient Video Representations by Temporal Aggregation Modules"

bottom-up-attention icon bottom-up-attention

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

caffe icon caffe

Caffe: a fast open framework for deep learning.

coco-caption icon coco-caption

Adds SPICE metric to coco-caption evaluation server codes.[THIS iS NON-OFFICIAL Python 3.x support]

conference_call_for_paper icon conference_call_for_paper

2019-2020 International Conferences in Artificial Intelligence, Machine Learning, Computer Vision, Data Mining, Natural Language Processing and Robotics

coot-videotext icon coot-videotext

COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning

cs-notes icon cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

cst_captioning icon cst_captioning

PyTorch Implementation of Consensus-based Sequence Training for Video Captioning

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