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Yu-Shui's Projects

2dtan icon 2dtan

An optimized re-implementation for 2D-TAN: Learning 2D Temporal Localization Networks for Moment Localization with Natural Language (AAAI'2020).

addernet icon addernet

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

condconv-pytorch icon condconv-pytorch

Implementation of CondConv: Conditionally Parameterized Convolutions for Efficient Inference in PyTorch.

cvpr_2021_papers icon cvpr_2021_papers

CVPR2021最新论文汇总,主要包括:Transformer, NAS,模型压缩,模型评估,图像分类,检测,分割,跟踪,GAN,超分辨率,图像恢复,去雨,去雾,去模糊,去噪,重建等等

deep-learning-uncertainty icon deep-learning-uncertainty

Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

deformable-detr icon deformable-detr

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

external-attention-pytorch icon external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

hgr_v2t icon hgr_v2t

Code accompanying the paper "Fine-grained Video-Text Retrieval with Hierarchical Graph Reasoning".

meta-sr-pytorch icon meta-sr-pytorch

Meta-SR: A Magnification-Arbitrary Network for Super-Resolution (CVPR2019)

models icon models

Pre-trained and Reproduced Deep Learning Models (『飞桨』官方模型库,包含多种学术前沿和工业场景验证的深度学习模型)

paddlevideo icon paddlevideo

Comprehensive, latest, and deployable video deep learning algorithm, including video recognition, action localization, and temporal action detection tasks. It's a high-performance, light-weight codebase provides practical models for video understanding research and application

psvl icon psvl

Code for the paper "Zero-shot Natural Language Video Localization" (ICCV2021, Oral).

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pyvideoresearch icon pyvideoresearch

A repository of common methods, datasets, and tasks for video research

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