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PyTorch implementation of the InfoNCE loss for self-supervised learning.
A comprehensive list of awesome contrastive self-supervised learning papers.
Implementation for AutoIOT: LLM-Driven Automated Natural Language Programming for AIoT Applications
(ICME24) This is the offical repository of iDAT: inverse Distillation Adapter-Tuning.
Official code for our ECCV'22 paper "A Fast Knowledge Distillation Framework for Visual Recognition"
Este repositório contém implementações em Python voltadas para Wifi Sensing e Sensing as a Service (SaaS)
DMixNet: A dendritic multi-layered perceptron architecture for image recognition
Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning
[CVPR 2025 Oral] OverLoCK: An Overview-first-Look-Closely-next ConvNet with Context-Mixing Dynamic Kernels
One-shot Recognition for Unseen Gesture with COTS WiFi
WiFi-based Cross-Domain Gesture Recognition via Modified Prototypical Networks
Learning algorithm for human activity recognition with a commercial IEEE 802.11ac router
This repository provides the implementation and dataset of the WoWMoM '23 paper, SiMWiSense
An implementation for our paper: CsiGAN: Robust Channel State Information-based Activity Recognition with GANs (IEEE Internet of Things Journal, 2019), which is the semi-supervised Generative Adver…
A deep learning-based activity segmentation framework for activity recognition using WiFi Channel State Information (CSI).
WiFi-based gesture recognition using Adversarial Discriminative Domain Adaptation.
This repository is a PyTorch implementation for NIPS 2024 Paper "Reinforced Cross-Domain Knowledge Distillation on Time Series Data".
Automatic Modulation Recognition of Radio Frequency Proximity Sensor Signals Based on Adaptive Relational Graph Attention Network
Calibrated and Complementary Transformer for RGB-Infrared Object Detection
Code for the paper: Dense Reward for Free in Reinforcement Learning from Human Feedback (ICML 2024) by Alex J. Chan, Hao Sun, Samuel Holt, and Mihaela van der Schaar
test video of the proposed method in "A Novel Anomaly Detection Method for Multimodal WSN Data Flow via a Dynamic Graph Neural Network"
[CVPR 2023] Official code release of our paper "BiFormer: Vision Transformer with Bi-Level Routing Attention"
Source code for AAAI 2025 paper: FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks
Official repository of Agent Attention (ECCV2024)
The official implementation of Tensor ProducT ATTenTion Transformer (T6)
Robust multimodal integration method implemented in PyTorch and TensorFlow