This is an unofficial implementation of BOAT: Bilateral Local Attention Vision Transformer
☆55Mar 29, 2022Updated 3 years ago
Alternatives and similar repositories for pytorch-boat
Users that are interested in pytorch-boat are comparing it to the libraries listed below
Sorting:
- ☆10Nov 26, 2020Updated 5 years ago
- tb detection☆21Oct 4, 2022Updated 3 years ago
- ☆16Jul 20, 2022Updated 3 years ago
- ☆11Dec 18, 2018Updated 7 years ago
- [CVPR 2022] This repository is for the paper ``DIFNet: Boosting Visual Information Flow for Image Captioning'' .☆21Nov 28, 2022Updated 3 years ago
- ☆13Aug 28, 2025Updated 6 months ago
- Sensor Fault Diagnosis with Physics Informed Transfer Learning☆13Jan 26, 2022Updated 4 years ago
- Code for "Margin-aware Adversarial Domain Adaptation with Optimal Transport" paper☆16Jan 31, 2022Updated 4 years ago
- [ICLR'22] This is an official implementation for "AS-MLP: An Axial Shifted MLP Architecture for Vision".☆127Oct 15, 2022Updated 3 years ago
- [ICLR 2024] Official implementation of the paper "Toss: High-quality text-guided novel view synthesis from a single image"☆23May 5, 2024Updated last year
- This is an implementation of “Domain Adaptation for Fault Diagnosis on CWRU Dataset"☆16Oct 15, 2021Updated 4 years ago
- The alignment of feature distributions between visible and thermal domains is crucial for achieving effective object detection. Our propo…☆14Jul 16, 2025Updated 8 months ago
- sonar image dataset including 66 airplane 487 ship 578 seafloor☆11Nov 16, 2021Updated 4 years ago
- [CVPR 2024] No More Ambiguity in 360° Room Layout via Bi-Layout Estimation☆16Oct 9, 2024Updated last year
- [CVPR22] Official codebase of Semantic Segmentation by Early Region Proxy.☆62Apr 21, 2022Updated 3 years ago
- Adaptive Split-Fusion Transformer (ICME 2023 Oral)☆17Feb 19, 2024Updated 2 years ago
- Official implement of "CAT: Cross Attention in Vision Transformer".☆169Jun 25, 2022Updated 3 years ago
- [NeurIPS 2022] HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions☆346Dec 30, 2025Updated 2 months ago
- ☆20Feb 15, 2023Updated 3 years ago
- Official PyTorch implementation of Fully Attentional Networks☆481Mar 31, 2023Updated 2 years ago
- ☆41Sep 21, 2023Updated 2 years ago
- Repository of Vision Transformer with Deformable Attention (CVPR2022) and DAT++: Spatially Dynamic Vision Transformerwith Deformable Atte…☆925Apr 17, 2024Updated last year
- Pytorch implementation of Mix-Shifting-MLP (MS-MLP)☆16Feb 16, 2022Updated 4 years ago
- ☆18Dec 14, 2021Updated 4 years ago
- ☆17Oct 18, 2022Updated 3 years ago
- The code for http://arxiv.org/abs/2110.02498☆19Mar 9, 2023Updated 3 years ago
- Lightweight Transformer for Multi-modal Tasks☆16Dec 9, 2022Updated 3 years ago
- Quantile risk minimization☆26Aug 8, 2024Updated last year
- Project page for our paper "DurIAN : DurIAN-SC: Duration Informed Attention Network based Singing Voice Conversion System".☆10Oct 12, 2020Updated 5 years ago
- ☆25Nov 23, 2021Updated 4 years ago
- 2021“昇腾杯”遥感影像智能处理算法大赛——语义分割赛道,冠军方案☆76Dec 18, 2022Updated 3 years ago
- Implementation of the paper ''Implicit Feature Refinement for Instance Segmentation''.☆20Oct 27, 2021Updated 4 years ago
- Repo containing code to do the learnable scatternet/invariant convolutional layer☆31Jan 15, 2020Updated 6 years ago
- The official code for the paper: https://openreview.net/forum?id=_PHymLIxuI☆401Jan 14, 2024Updated 2 years ago
- Experiments with perceptual loss and autoencoders.☆28May 17, 2021Updated 4 years ago
- This is the Matlab code of the blind deconvolution based on the ratio of cyclic content (BD-RCC). BD-RCC can be used to recover repetitiv…☆24Jun 17, 2021Updated 4 years ago
- Code for the paper "Unbiased Supervised Contrastive Learning" | ICLR 2023 https://openreview.net/forum?id=Ph5cJSfD2XN☆13Sep 22, 2023Updated 2 years ago
- Test different pooling method used in CNN for Computer Vision Task☆35Jan 16, 2021Updated 5 years ago
- This is code of paper "ScalableViT: Rethinking the Context-oriented Generalization of Vision Transformer"☆26Sep 16, 2023Updated 2 years ago