iamwangyabin

CDDB

Data and code for WACV 2023 paper “A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials“

CVToolbox

code

DLF-SLAM

deep cnn feature slam based on ORB-SLAM

ESN

Official implementation of AAAI 2023 paper "Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference".

Multi-robot-Cleaning-Task-Allocation

Benchmark for Multi-robot Cleaning Task Allocation

PoundNet

Code for Penny-Wise and Pound-Foolish in Deepfake Detection

S-Prompts

Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“

VIO-SLAM

从零开始手写VIO

Best-Incremental-Learning

An Incremental Learning, Continual Learning, and Life-Long Learning Repository

count-anything

an empirical study on few-shot counting using segment anything (SAM)

iamwangyabin/S-Prompts

Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“

iamwangyabin/ESN

Official implementation of AAAI 2023 paper "Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference".

iamwangyabin/DLF-SLAM

deep cnn feature slam based on ORB-SLAM

iamwangyabin/CVToolbox

code

iamwangyabin/Multi-robot-Cleaning-Task-Allocation

Benchmark for Multi-robot Cleaning Task Allocation

iamwangyabin/l2p_domainnet

Example -- add new dataset to l2p codebase.

iamwangyabin/PoundNet

Code for Penny-Wise and Pound-Foolish in Deepfake Detection

iamwangyabin/SPrompts_eval

Evaluation code for S-Prompts

iamwangyabin/Anime-Aesthetic-Predicter

iamwangyabin/AnimeCLIP

iamwangyabin/awesome-ai-generated-content-detection

iamwangyabin/ARPL

[TPAMI 2021] Adversarial Reciprocal Points Learning for Open Set Recognition

iamwangyabin/Auto-flux

iamwangyabin/Bayesian-Crowd-Counting-PL

pytorch-lightning support Bayesian-Crowd-Counting

iamwangyabin/cassle

Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)

iamwangyabin/class-incremental-learning

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

iamwangyabin/CNNDetection

Code for the paper: CNN-generated images are surprisingly easy to spot... for now https://peterwang512.github.io/CNNDetection/

iamwangyabin/dataset_generator

iamwangyabin/DFLIP-3K

iamwangyabin/dytox

Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022

iamwangyabin/gallerysite

iamwangyabin/hardnetNas

iamwangyabin/HCP-Diffusion

A universal Stable-Diffusion toolbox

iamwangyabin/IMDLBenCo

[NeurIPS'24 Spotlight] A comprehensive benchmark & codebase for Image manipulation detection/localization.

iamwangyabin/mammoth

An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning

iamwangyabin/PCL

iamwangyabin/PL-ImageNet

traing imagenet with pytorch-lightning

iamwangyabin/PyCIL

PyCIL: A Python Toolbox for Class-Incremental Learning

iamwangyabin/TestCLIP

iamwangyabin/x-flux