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Guangdong university of technology
- Guangzhou,Guangdong
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05:22
(UTC -12:00) - https://weibo.com/u/5586508328
- https://weibo.com/u/5586508328
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A pytorch implementation of the paper Unsupervised Deep Embedding for Clustering Analysis.
sebastiani / IIC
Forked from xu-ji/IICInvariant Information Clustering for Unsupervised Image Classification and Segmentation
Torch code for our CVPR 2016 paper "Joint Unsupervised LEarning of Deep Representations and Image Clusters"
A curated list of awesome prompt/adapter learning methods for vision-language models like CLIP.
NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks, CVPR 2022 (Oral)
Interpreting and Analyzing CLIP's Zero-Shot Image Classification via Mutual Knowledge, NeurIPS 2024
Implementation of CLIPCEIL: Boosting Domain Generalization for CLIP by Channel rEfinement and Image-text aLignment in Neurips-24
Pytorch implementation of Supporting Clustering with Contrastive Learning, NAACL 2021
Official code for the NeurIPS'22 paper "On the Robustness of Deep Clustering Models: Adversarial Attacks and Defenses"
Code for the paper "Interactive Deep Clustering via Value Mining" (NeurIPS 2024)
Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"
[CVPR 2021] Multi-Modal-CelebA-HQ: A Large-Scale Text-Driven Face Generation and Understanding Dataset
[CVPR 2021] Pytorch implementation for TediGAN: Text-Guided Diverse Face Image Generation and Manipulation
[ICCV 2023] CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training
VCoder: Versatile Vision Encoders for Multimodal Large Language Models, arXiv 2023 / CVPR 2024
[ICML 2024] Let Go of Your Labels with Unsupervised Transfer
[ICML 2024] Official implementation for "Image Fusion via Vision-Language Model".
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)
This repo is the official implementation of TMI2024 paper "Prompt-driven Latent Domain Generalization for Medical Image Classification".
ESA: External Space Attention Aggregation for Image-Text Retrieval
[BMVC2023] Official code for TEMI: Exploring the Limits of Deep Image Clustering using Pretrained Models
The official code for our paper "Clustering by Maximizing Mutual Information Across Views" accepted in ICCV-2021
Invariant Information Clustering for Unsupervised Image Classification and Segmentation