Lists (6)
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Stars
Summary of related papers on visual attention. Related code will be released based on Jittor gradually.
[AAAI 2024] Transfer and Alignment Network for Generalized Category Discovery
[AAAI 2025] Unleashing the Potential of Model Bias for Generalized Category Discovery
code for Automatic Modulation Open Set Recognition with diffusion models
TorchSig is an open-source signal processing machine learning toolkit based on the PyTorch data handling pipeline.
A method for Automatic Modulation Classification using Mamba structure
An algorithm for clustering with hard and soft must-link and cannot-link constraints.
The source code of the paper "STARNet: An Efficient Spatiotemporal Feature Sharing Reconstructing Network for Automatic Modulation Classification"
[Pytorch] Code for Paper “SigDA: A Superimposed Domain Adaptation Framework for Automatic Modulation Classification”
[ICLR 2022] Open-World Semi-Supervised Learning
Code for IJCAI-23 Paper "Open-world Semi-supervised Novel Class Discovery"
Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.
PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020)
JosephKJ / UNO
Forked from DonkeyShot21/UNOOfficial implementation of "A Unified Objective for Novel Class Discovery", ICCV2021 (Oral)
Awesome Incremental Learning
(CVPR 2022) Energy-based Latent Aligner for Incremental Learning
(TPAMI 2021) iOD: Incremental Object Detection via Meta-Learning
A list of papers that studies Novel Class Discovery
Implementation of papers in 100 lines of code.
Implementation of CVPR 2020 paper "MMTM: Multimodal Transfer Module for CNN Fusion"
The project page of paper: Trusted Multi-View Classification [ICLR'2021 paper]
A comprehensive collection of open world papers from top tier conferences and journals
A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition