PRIS-CV / Top-Down-Spatial-Attention-LossLinks
Fine-Grained Visual Classification via Simultaneously Learning of Multi-regional Multi-grained Features
☆12Updated 4 years ago
Alternatives and similar repositories for Top-Down-Spatial-Attention-Loss
Users that are interested in Top-Down-Spatial-Attention-Loss are comparing it to the libraries listed below
Sorting:
- MOMN☆16Updated 5 years ago
- Code release for Your “Flamingo” is My “Bird”: Fine-Grained, or Not (CVPR 2021 Oral)☆65Updated 2 years ago
- ☆43Updated 4 years ago
- Published in CVPR 2020; matlab codes☆22Updated last year
- The Curious Layperson: Fine-Grained Image Recognition without Expert Labels (BMVC 2021 best student paper)☆25Updated 3 years ago
- Shared Attention for Multi-label Zero-shot Learning accepted @ CVPR20☆32Updated 4 years ago
- ☆20Updated 5 years ago
- Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification (TIP2021)☆51Updated last year
- [ICCV2019] Attract or Distract: Exploit the Margin of Open Set☆35Updated 5 years ago
- PyTorch Implementation for ICCV19 paper "Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective"☆33Updated 6 years ago
- Official Pytorch Implementation of: "Semantic Diversity Learning for Zero-Shot Multi-label Classification"(ICCV, 2021) paper☆31Updated 3 years ago
- Embedding-based Scalable Segmentation Network☆28Updated 3 years ago
- Implementation of method described in http://openaccess.thecvf.com/content_ICCV_2019/papers/Le_Cacheux_Modeling_Inter_and_Intra-Class_Rel…☆32Updated 5 years ago
- Codes of ICMR 2019 short paper "Weakly Supervised Image Retrieval via Coarse-scale Feature Fusion and Multi-level Attention Blocks"☆31Updated 3 years ago
- (CVPR 2020) Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition☆40Updated 4 years ago
- SMCA replication☆21Updated 4 years ago
- Gaussian-Based Pooling for Convolutional Neural Networks☆30Updated 6 years ago
- Official PyTorch implementation of "Learning with Memory-based Virtual Classes for Deep Metric Learning" (ICCV 2021)☆16Updated 4 years ago
- Code release for OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer (TIP2020)☆45Updated 5 years ago
- official pytorch implementation of "Deep Metric Learning with Spherical Embedding", NeurIPS 2020☆42Updated 5 years ago
- Pytorch implementation of CVPR2021 paper: SuperMix: Supervising the Mixing Data Augmentation☆92Updated 4 years ago
- This is novel noisy-robust Attentive Feature MixUp method.☆21Updated 5 years ago
- PyTorch implementation of Data-Efficient Image Recognition with Contrastive Predictive Coding☆13Updated 5 years ago
- Orderless Recurrent Models for Multi-label Classification☆43Updated 5 years ago
- Lightweight Transformer for Multi-modal Tasks☆16Updated 3 years ago
- Official repo for Directional Self-supervised Learning for Heavy Image Augmentations [CVPR2022]☆12Updated 3 years ago
- Official PyTorch Implementation of FREE (ICCV'21)☆33Updated 3 years ago
- The code repository for "Learning Classifier Synthesis for Generalized Few-shot Learning"☆22Updated 4 years ago
- [CVPR 2022] Official PyTorch implementation for Attributable Visual Similarity Learning☆35Updated 3 years ago
- 2021 AAAI Modular Graph Transformer Networks for Multi-Label Image Classification; Official GitHub: https://github.com/ReML-AI/MGTN☆21Updated 4 years ago