A declarative, efficient, and flexible JavaScript library for building user interfaces.
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Updated
Jun 10, 2024 - TypeScript
A declarative, efficient, and flexible JavaScript library for building user interfaces.
Build fast web applications with Rust.
Pytorch implementation of MixNMatch
A high-performance framework with fine-grained observable-based reactivity for building rich applications.
Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019
Open source deep learning based fine-grained image recognition toolbox built on PyTorch🔥
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery
Code release for The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification (TIP 2020)
This is a PyTorch implementation of the paper "Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization (MMAL-Net)" (Fan Zhang, Meng Li, Guisheng Zhai, Yizhao Liu).
Code release for Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches (ECCV2020)
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018
CVPR2017 - an ultra-compact bilinear model for fine-grained classification
Learning Attentive Pairwise Interaction for Fine-Grained Classification, AAAI-2020
Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition reimplement in Pytorch.
Fined grained classification On Car dataset
A Tennis dataset and models for event detection & commentary generation
Code release for Your “Flamingo” is My “Bird”: Fine-Grained, or Not (CVPR 2021 Oral)
Pytorch implementation of λOpt: Learn to Regularize Recommender Models in Finer Levels, KDD 2019
Code for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.
The summary of code and paper for few-shot learning in fine-grained recognition
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