Stars
A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).
Generative latent replay - a memory-efficient, privacy ensuring replay method for continual learning.
PyCIL: A Python Toolbox for Class-Incremental Learning
Tactile Sensing and Simulation; Visual Tactile Manipulation; Open Source.
jianzhangcs / R-DFCIL
Forked from gqk/R-DFCILR-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning, ECCV2022 [PyTorch Code]
The code repository for "Dual-consistency Model Inversion for Non-exemplar Class Incremental Learning"(CVPR24) in PyTorch.
An elegant \LaTeX\ résumé template. 大陆镜像 https://gods.coding.net/p/resume/git
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PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"
[ACL'19] [PyTorch] Multimodal Transformer
[MICCAI 2022] The official code for "mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation"
This is the official codebase for the paper "Sensor-Invariant Tactile Representation" (ICLR 2025).
Sparsh Self-supervised touch representations for vision-based tactile sensing
A curated list of balanced multimodal learning methods.
The repo for "AnyTouch: Learning Unified Static-Dynamic Representation across Multiple Visuo-tactile Sensors", ICLR 2025
A collection of resources and papers on Vector Quantized Variational Autoencoder (VQ-VAE) and its application
(ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation
PyTorch implementation of "Toward Efficient Data-Free Unlearning" accepted by AAAI 2025.
[AAAI-2022] Up to 100x Faster Data-free Knowledge Distillation
Official Pytorch Implementation for "TextToucher: Fine-Grained Text-to-Touch Generation" (AAAI 2025)
[CVPR 2024] Binding Touch to Everything: Learning Unified Multimodal Tactile Representations
Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training
This Repository contain the PyTorch implementation of the multi-class unsupervised anomaly detection method, accepted in CVPR2025: "Correcting Deviations from Normality: A Reformulated Diffusion Mo…
Diffusion-TTA improves pre-trained discriminative models such as image classifiers or segmentors using pre-trained generative models.
This is the source code for our accepted paper in the journal RA_L with IROS2021.