onlyonewater's repositories
ban-vqa
Bilinear attention networks for visual question answering
BaSNet-pytorch
Official Pytorch Implementation of 'Background Suppression Network for Weakly-supervised Temporal Action Localization' (AAAI-20)
Bert-Multi-Label-Text-Classification
This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
Challenge-condition-FER-dataset
This is our collected datasets for challenge condition facial expression recognition
detr
End-to-End Object Detection with Transformers
DivideMix
Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning
drophead-pytorch
An implementation of drophead regularization for pytorch transformers
EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
grid-feats-vqa
Grid features pre-training code for visual question answering
hidden-challenges-MR
codes for Uncovering Hidden Challenges in Query-Based Video Moment Retrieval
image-captioning
Implementation of 'X-Linear Attention Networks for Image Captioning' [CVPR 2020]
LGI4temporalgrounding
Repository for the CVPR-20 paper "Local-Global Video-Text Interactions for Temporal Grounding"
maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
MM-SADA-code
Repository to contain the code for the CVPR 2020 publication: Multi-Modal Domain Adaptation for Fine-Grained Action Recognition
mmaction2
OpenMMLab's Next Generation Action Understanding Toolbox and Benchmark
openvqa
A lightweight, scalable, and general framework for visual question answering research
PlotNeuralNet
Latex code for making neural networks diagrams
pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
pytorch-domain-adaptation
A collection of implementations of adversarial domain adaptation algorithms
self-critical.pytorch
Unofficial pytorch implementation for Self-critical Sequence Training for Image Captioning. and others.
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
video_feature_extractor
Easy to use video deep features extractor