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[T-PAMI] A curated list of self-supervised multimodal learning resources.
收集 CVPR 最新的成果，包括论文、代码和demo视频等，欢迎大家推荐！Collect the latest CVPR (Conference on Computer Vision and Pattern Recognition) results, including papers, code, and demo videos, etc., and welcome recommendati…
collections for advanced, novel multi-view clustering methods(papers , codes and datasets)
🌕 [ICCV 2021] Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection. A self-supervised learning way for low-light image object detection.
[CVPR 2024] Boosting Object Detection with Zero-Shot Day-Night Domain Adaptation
Unsupervised Domain Adaptation for Nighttime Aerial Tracking (CVPR2022)
AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for…
This project summarizes the CLIP-based cross-modal hashing methods. Including DCMHT, MITH, DSPH, DNPH, TwDH (Two-Step Discrete Hashing for Cross-Modal Retrieval), DIMCH(Cross-modal Hashing via Dive…
Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
Locality Preserving Joint Transfer for Domain Adaptation, TIP 2019
MATLAB Implementation of Scatter Component Analysis (SCA) for Domain Generalization
⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
Unofficial implementation of some fantastic shallow domain adaptation (SDA) methods.
The code for Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval (ICCV 2019)
PyTorch code for ICCV'19 paper "Visual Semantic Reasoning for Image-Text Matching"
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Implementation of our CVPR2020 paper, Graph Structured Network for Image-Text Matching
My experiments with Zero Shot Learning
基于Transformers的文本分类
Model base on Vinyals Show and Tell: A Neural Image Caption Generator (http://static.googleusercontent.com/media/research.google.com/es//pubs/archive/43274.pdf)
Unofficial PyTorch implementation of Fastformer based on paper "Fastformer: Additive Attention Can Be All You Need"."
This repository contain various types of attention mechanism like Bahdanau , Soft attention , Additive Attention , Hierarchical Attention etc in Pytorch, Tensorflow, Keras
PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
Recent Transformer-based CV and related works.