Jia258

Jia258's Stars

• thy-wq/PASS_Net

  code for paper PASS_Net

  1

• Lackel/TAN

  [AAAI 2024] Transfer and Alignment Network for Generalized Category Discovery

  Language:Python91

• Lackel/SDC

  [AAAI 2025] Unleashing the Potential of Model Bias for Generalized Category Discovery

  Language:Python8

• thy-wq/AMOSR-I4D-main

  code for Automatic Modulation Open Set Recognition with diffusion models

  Language:Python7

• DTennant/GPC

  Language:Python143

• TorchDSP/torchsig

  TorchSig is an open-source signal processing machine learning toolkit based on the PyTorch data handling pipeline.

  Language:Jupyter Notebook17841

• ZhangYezhuo/MAMC

  A method for Automatic Modulation Classification using Mamba structure

  Language:Python29

• phil85/PCCC-Algorithm

  An algorithm for clustering with hard and soft must-link and cannot-link constraints.

  Language:Python7

• wangzishuodylan/STARNet-Automatic-Modulation-Classiffcation

  The source code of the paper "STARNet: An Efficient Spatiotemporal Feature Sharing Reconstructing Network for Automatic Modulation Classification"

  Language:Python5

• HantongXING/SigDA

  [Pytorch] Code for Paper “SigDA: A Superimposed Domain Adaptation Framework for Automatic Modulation Classification”

  Language:Python19

• snap-stanford/orca

  [ICLR 2022] Open-World Semi-Supervised Learning

  Language:Python9512

• LiuJMzzZ/OpenNCD

  Code for IJCAI-23 Paper "Open-world Semi-supervised Novel Class Discovery"

  Language:Python223

• junwu6/OuterAdapter

  Domain Adaptation with Dynamic Open-Set Targets

  Language:Python1

• mmasana/FACIL

  Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.

  Language:Python535100

• JosephKJ/class-incremental-learning

  PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020)

  Language:Python12

• JosephKJ/UNO

  Official implementation of "A Unified Objective for Novel Class Discovery", ICCV2021 (Oral)

  Language:Python2

• JosephKJ/Awesome-Incremental-Learning

  Awesome Incremental Learning

  11

• JosephKJ/ELI

  (CVPR 2022) Energy-based Latent Aligner for Incremental Learning

  Language:Python509

• JosephKJ/iOD

  (TPAMI 2021) iOD: Incremental Object Detection via Meta-Learning

  Language:Python12322

• JosephKJ/Awesome-Novel-Class-Discovery

  A list of papers that studies Novel Class Discovery

  45358

• MaximeVandegar/Papers-in-100-Lines-of-Code

  Implementation of papers in 100 lines of code.

  Language:Python1.4k149

• haamoon/mmtm

  Implementation of CVPR 2020 paper "MMTM: Multimodal Transfer Module for CNN Fusion"

  Language:Python11220

• hanmenghan/TMC

  The project page of paper: Trusted Multi-View Classification [ICLR'2021 paper]

  Language:Python24145

• SarahRastegar/Open-World-Papers

  A comprehensive collection of open world papers from top tier conferences and journals

  191

• Xxiaoshan/MAC_UAMR

  The code of MAC_UAMR in pytorch

  Language:Python4

• ThienHuynhThe/SpectrumSensing5G

  Language:MATLAB31

• iCGY96/awesome_OpenSetRecognition_list

  A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition

  1.1k148

• mohmdelsayed/streaming-drl

  Deep reinforcement learning without experience replay, target networks, or batch updates.

  Language:Python19414

• melamaze/KDDF

  Language:Python4

• Singingkettle/ChangShuoRadioData

  Wireless Data Tool to collect, annotate, and simulate wireless frame

  Language:MATLAB71