For holding anime-related object classification and detection models

Last update: Nov 30, 2022

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Overview

Animesion

An end-to-end framework for anime-related object classification, detection, segmentation, and other models.

Update: 01/22/2020. Due to time-constraints I will for now just finish and publish the components for classification. Detection and segmentation require more adjustments to the pipelines, but I hope that the reslts published here encourage other researchers and hobbyists to further continue this project. If not hopefully I will be able to come back at it in a few months time from now.

Owner

Edwin Arkel Rios

MSc Student in Electrical Engineering and Computer Science at National Chiao Tung University's Parallel Computing System (PCS) Lab Bio-Signal Processing Group.

GitHub Repository

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For holding anime-related object classification and detection models

Related tags

Overview

Animesion

Owner

Edwin Arkel Rios

A python library for highly configurable transformers - easing model architecture search and experimentation.

yolov5 deepsort 行人车辆跟踪检测计数

A generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.

pytorch implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network arXiv:1609.04802

This repository contains the implementation of the paper: "Towards Frequency-Based Explanation for Robust CNN"

Aggragrating Nested Transformer Official Jax Implementation

YOLTv5 rapidly detects objects in arbitrarily large aerial or satellite images that far exceed the ~600×600 pixel size typically ingested by deep learning object detection frameworks

Lava-DL, but with PyTorch-Lightning flavour

Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)

DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020

Fuzzification helps developers protect the released, binary-only software from attackers who are capable of applying state-of-the-art fuzzing techniques

Non-Homogeneous Poisson Process Intensity Modeling and Estimation using Measure Transport

[ICLR'19] Trellis Networks for Sequence Modeling

A PyTorch Toolbox for Face Recognition

This repository includes the official project for the paper: TransMix: Attend to Mix for Vision Transformers.

This repository contains the code for TACL2021 paper: SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization

Code for NeurIPS2021 submission "A Surrogate Objective Framework for Prediction+Programming with Soft Constraints"

Python binding for Khiva library.

OpenMMLab Computer Vision Foundation

For holding anime-related object classification and detection models

Related tags

Overview

Animesion

Owner

Edwin Arkel Rios

A python library for highly configurable transformers - easing model architecture search and experimentation.

yolov5 deepsort 行人 车辆 跟踪 检测 计数

A generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.

pytorch implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network arXiv:1609.04802

This repository contains the implementation of the paper: "Towards Frequency-Based Explanation for Robust CNN"

Aggragrating Nested Transformer Official Jax Implementation

YOLTv5 rapidly detects objects in arbitrarily large aerial or satellite images that far exceed the ~600×600 pixel size typically ingested by deep learning object detection frameworks

Lava-DL, but with PyTorch-Lightning flavour

Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)

DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020

Fuzzification helps developers protect the released, binary-only software from attackers who are capable of applying state-of-the-art fuzzing techniques

Non-Homogeneous Poisson Process Intensity Modeling and Estimation using Measure Transport

[ICLR'19] Trellis Networks for Sequence Modeling

A PyTorch Toolbox for Face Recognition

This repository includes the official project for the paper: TransMix: Attend to Mix for Vision Transformers.

This repository contains the code for TACL2021 paper: SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization

Code for NeurIPS2021 submission "A Surrogate Objective Framework for Prediction+Programming with Soft Constraints"

Python binding for Khiva library.

OpenMMLab Computer Vision Foundation

yolov5 deepsort 行人车辆跟踪检测计数