Code for the ICCV 2015 paper "Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks."

Code for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.

Final project for the course Deep Learning for Computer Vision at TUM. Contributors: Amir Biran, Victor Aliende Da Matta, Giorgio Fabbro, Magnus Lindström, Paolo Notaro

Final Capstone Project of Master Years

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018

AI-Challenger Baseline 细粒度用户评论情感分析

Multi-label Classification with BERT; Fine Grained Sentiment Analysis from AI challenger

This is a pytorch re-implementation of Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition

ai challenger 2018细粒度情感分类第一名解决方案,统一使用tensorflow和pytorch的一个框架

Pytorch implementation of fine grained visual attention in bilinear CNN

Classifying images into coarse and fine classes. https://web.cse.iitk.ac.in/users/cs783/asm2/

(Using) Prototypical Networks as a Fine Grained Classifier

This is a PyTorch implementation of Kaggle's Cassava Disease Visual Classification challenge (5th place in private leaderboard)

This repository contains the dataset, code and paper for my project: Capturing Spatial and Temporal Context for Fine Grained Canine Behaviour Action Recognition

NGAC

[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning

Bilinear CNNs in PyTorch

Code for the Knowledge distillation work to enhance fine grained disease recognition.

Code for the paper "Fine-Grained Entity Typing in Hyperbolic Space"