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
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Updated
Feb 6, 2018 - Python
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
AI-Challenger Baseline 细粒度用户评论情感分析
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/
This is a PyTorch implementation of Kaggle's Cassava Disease Visual Classification challenge (5th place in private leaderboard)
[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"
Explores jigsaw puzzles solvinig as pre-text task for fine grained classification for bird species identification (Implemented with pyTorch)
Final Project for CS 230: Deep Learning
DCL revisied for CVPR FGVC7 - Plant Pathology 2020, implemented in Pytorch
Fine-grained species classification
A generic triplet data loader for image classification problems,and a triplet loss net demo.
unofficial PyTorch implementation of Look into object paper (CVPR2020).
Code repository for "Interpretable and Accurate Fine-grained Recognition via Region Grouping", CVPR 2020 (Oral)
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