zichengpan

zichengpan's Stars

• wudi-ldd/SAM-Annotation

  Fast Semantic Segmentation Image Annotation with Segment Anything Model (SAM)

  Language:Python132

• zichengpan/PFC

  Official Implementation of "Overcoming learning bias via Prototypical Feature Compensation for source-free domain adaptation".

  Language:Python2

• jiahaoli57/Call-for-Reviewers

  This project aims to collect the latest "call for reviewers" links from various top CS/ML/AI conferences/journals

  49310

• zichengpan/DyCR

  Official Implementation of "DyCR: A Dynamic Clustering and Recovering Network for Few-Shot Class-Incremental Learning"

  Language:Python3

• zichengpan/PFR

  Official Implementation of "Pseudo-set Frequency Refinement architecture for fine-grained few-shot class-incremental learning".

  Language:Python2

• zh217/torch-dct

  DCT (discrete cosine transform) functions for pytorch

  Language:Python57272

• tldoan/CLIP-M3

  A streamlined Approach to Multimodal Few-Shot Class Incremental Learning for Fine-Grained Datasets (CLIP-M3)

  7

• zichengpan/EIANet

  Pytorch implementation for "EIANet: A Novel Domain Adaptation Approach to Maximize Class Distinction with Neural Collapse Principles", accepted by British Machine Vision Conference (BMVC) 2024.

  Language:Python1

• zichengpan/zichengpan.github.io

  Language:CSS1

• zichengpan/SSFE-Net

  Official Implementation of "SSFE-Net: Self-Supervised Feature Enhancement for Ultra-Fine-Grained Few-Shot Class Incremental Learning"

  Language:Python6

• zichengpan/DICTA-Masked_Guided_ultra_FGVC

  Code for "Mask-Guided Feature Extraction and Augmentation for Ultra-Fine-Grained Visual Categorization" in DICTA 2021.

  Language:Python4

• icoz69/CEC-CVPR2021

  Pytorch code for CVPR2021 paper "Few-Shot Incremental Learning with Continually Evolved Classifiers"

  Language:Python15336

• jacobgil/pytorch-grad-cam

  Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

  Language:Python10.6k1.6k

• shakes76/ELEC3004

  Instructional Code for the University of Queensland's course entitled Signals and Systems

  32