shantanuj / TDAM_Top_down_attention_moduleLinks
Official PyTorch implementation of "TDAM: Top-down attention module for CNNs"
☆11Updated 2 years ago
Alternatives and similar repositories for TDAM_Top_down_attention_module
Users that are interested in TDAM_Top_down_attention_module are comparing it to the libraries listed below
Sorting:
- [BMVC 2021] The official PyTorch implementation of Feature Fusion Vision Transformer for Fine-Grained Visual Categorization☆49Updated 2 years ago
- RAMS-Trans: Recurrent Attention Multi-scale Transformer for Fine-grained Image Recognition☆12Updated 3 years ago
- [T-IP 2023] Code for exponential adaptive pooling for PyTorch☆82Updated 2 years ago
- ☆142Updated 11 months ago
- [CVPR 2023 Highlight] Masked Image Modeling with Local Multi-Scale Reconstruction☆49Updated last year
- Multi-head Recurrent Layer Attention for Vision Network☆19Updated 2 years ago
- A PyTorch implementation of CMT based on paper CMT: Convolutional Neural Networks Meet Vision Transformers.☆70Updated 2 years ago
- This is an official implementation for "Making Vision Transformers Efficient from A Token Sparsification View".☆34Updated 3 months ago
- Source code of the paper Fine-Grained Visual Classification via Internal Ensemble Learning Transformer☆48Updated last year
- ☆84Updated last year
- Deep Networks with Recurrent Layer Aggregation☆28Updated 3 years ago
- ☆33Updated 3 years ago
- ☆44Updated 2 years ago
- Pytorch Re-Implementation | Dynamic Region-Aware Convolution (ECCV2020)☆104Updated 4 years ago
- Official Codes and Pretrained Models for Dynamic MLP, CVPR2022, https://arxiv.org/abs/2203.03253☆87Updated 3 years ago
- ☆26Updated 2 years ago
- The official implementation for ALOFT (CVPR 2023).☆54Updated last year
- This is an unofficial implementation of BOAT: Bilateral Local Attention Vision Transformer☆55Updated 3 years ago
- Adaptive Split-Fusion Transformer (ICME 2023 Oral)☆17Updated last year
- PyTorch Code for Feature Boosting, Suppression, and Diversification for Fine-Grained Visual Classification☆22Updated 4 years ago
- Unofficial PyTorch implementation of KeepAugment☆24Updated 3 years ago
- The official repository of the paper "Learning Correlation Structures for Vision Transformers" accepted to CVPR 2024.☆48Updated last year
- Code for Part-Guided Relational Transformers for Fine-Grained Visual Recognition, appeared in TIP 2021☆23Updated last year
- [CVPR 2022] TVConv: Efficient Translation Variant Convolution for Layout-aware Visual Processing☆47Updated 2 years ago
- PyTorch implementation of PaCa-ViT (CVPR'23)☆30Updated 2 years ago
- [ICCV 2023] Source code of "Fcaformer: Forward Cross Attention in Hybrid Vision Transformer"☆23Updated last year
- ☆36Updated 3 years ago
- ☆23Updated 10 months ago
- Code release for Your “An Erudite Fine-Grained Visual Classification Model (CVPR 2023)"☆16Updated 2 years ago
- ☆44Updated last year