mathkey / mssnet
KSSNet: Multi-Label Classification with Label Graph Superimposing
☆58Updated 4 years ago
Related projects: ⓘ
- ☆160Updated 2 years ago
- Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification☆81Updated 3 years ago
- Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection (ACM MM 2018)☆58Updated 2 years ago
- LaSO: Label-Set Operations networks for multi-label few-shot learning - official implementation☆85Updated 6 months ago
- Visual Attention Consistency Under Image Transforms for Multi-Label Image Classification☆93Updated 4 years ago
- PyTorch unofficial implementation of Graph-Based Global Reasoning (http://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_Graph-Based…☆38Updated 3 years ago
- Pytorch version of model in NeurIPS'19 paper "Learning Deep Bilinear Transformation for Fine-grained Image Representation"☆21Updated 4 years ago
- Orderless Recurrent Models for Multi-label Classification☆43Updated 4 years ago
- PyTorch implementation of Center Loss & Contrastive-Center Loss.☆63Updated 6 years ago
- Multi-Modal Reasoning Graph for Scene-Text Based Fine-Grained Image Classification and Retrieval☆63Updated last year
- Circleloss pytorch version☆42Updated 4 years ago
- PyTorch implementation of Deep Semantic Dictionary Learning for Multi-label Image Classification, AAAI 2021.☆48Updated 3 years ago
- This is the PyTorch implementation of our paper "Cross-X learning for Fine-Grained Visual Categorization"☆74Updated 4 years ago
- Source code of our ACM MM 2019 paper "A New Benchmark and Approach for Fine-grained Cross-media Retrieval".☆56Updated 9 months ago
- Code release for OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer (TIP2020)☆44Updated 4 years ago
- ADD-GCN: Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition (ECCV 2020)☆127Updated 2 years ago
- AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries☆162Updated last year
- Disentangled Non-Local Neural Networks☆81Updated 3 years ago
- Code release for Your “Flamingo” is My “Bird”: Fine-Grained, or Not (CVPR 2021 Oral)☆58Updated 11 months ago
- This repository contains the code for Instance Credibility Inference (ICI).☆82Updated 3 years ago
- V4D: 4D Convolutional Neural Networks for Video-level Representation Learning☆65Updated 3 years ago
- This repository is the implementation of AAAI 2020 paper: "Revisiting Bilinear Pooling: A Coding Perspective".☆44Updated 4 years ago
- ☆42Updated 3 years ago
- ☆86Updated 3 years ago
- Examples of playing with Circle Loss from the paper "Circle Loss: A Unified Perspective of Pair Similarity Optimization", CVPR 2020.☆49Updated 4 years ago
- Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition reimplement in Pytorch.☆101Updated 4 years ago
- This is a pytorch version for Non-local Neural Networks(onging)☆27Updated 5 years ago
- Code for our NeurIPS'19 paper "Learning Deep Bilinear Transformation for Fine-grained Image Representation"☆105Updated 4 years ago
- pytorch implementation of Fine-grained Recognition: Accounting for Subtle Differences between Similar Classes☆26Updated 4 years ago
- MOMN☆15Updated 4 years ago