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CorrNet+: Sign Language Recognition and Translation via Spatial-Temporal Correlation
Code for "Partial Class Activation Attention for Semantic Segmentation" [CVPR2022]
[CVPR 2023] Effcient Frequence Domain-based Transformer for High-Quality Image Deblurring
[ECCV 2024] Context-Guided Spatial Feature Reconstruction for Efficient Semantic Segmentation
The official implementation of "Efficient Frequency-Domain Image Deraining with Contrastive Regularization" 【ECCV2024】
[WACV 2024] Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation
About Code release for "FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting" ⌚
[WACV 2024] An implementation of MEGANet for polyp segmentation with multi-scale edge-guided attention
When Fast Fourier Transform Meets Transformer for Image Restoration (ECCV 2024)
[ICML 2024] A novel, efficient lightweight approach combining convolutional operations with adaptive spectral analysis as a foundation model for different time series tasks
Wavelet Convolutions for Large Receptive Fields. ECCV 2024.
This is a magic wand which can record and transmit infrated & 433Mhz RF signal. It is controlled by draw different shapes in air (like real wizards).
RAFConv: Innovating Spatital Attention and Standard Convolutional Operation
Code for our CVPR2020 paper "Strip Pooling: Rethinking Spatial Pooling for Scene Parsing"
Official PyTorch implementation of "No Time to Waste: Squeeze Time into Channel for Mobile Video Understanding"
Official PyTorch Implementation of MotionSqueeze, ECCV 2020
We design an effective Relation-Aware Global Attention (RGA) module for CNNs to globally infer the attention.
A PyTorch implementation of the 1d and 2d Sinusoidal positional encoding/embedding.
Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)
Pytorch!!!Pytorch!!!Pytorch!!! Dynamic Convolution: Attention over Convolution Kernels (CVPR-2020)
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Summary of related papers on visual attention. Related code will be released based on Jittor gradually.