Jianglin954 / Awesome-papers-in-the-fileds-of-CV-ML-PR-DMLinks
This is a collection of awesome papers I have read (carefully or roughly) in the fields of computer vision, machine learning, pattern recognition, and data mining (where the notes only represent my personal views). The collection will be continuously updated, so stay tuned. Any suggestions and comments are welcome (jianglinlu@outlook.com).
☆13Updated 10 months ago
Alternatives and similar repositories for Awesome-papers-in-the-fileds-of-CV-ML-PR-DM
Users that are interested in Awesome-papers-in-the-fileds-of-CV-ML-PR-DM are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2023] Latent Graph Inference with Limited Supervision☆13Updated last year
- Code for the paper "Do text-free diffusion models learn discriminative visual representations?"☆24Updated last year
- Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"☆79Updated last year
- Official implementation for 'Class-Balancing Diffusion Models'☆55Updated last year
- Diffusion-TTA improves pre-trained discriminative models such as image classifiers or segmentors using pre-trained generative models.☆74Updated last year
- Official implementation of "Towards Distribution-Agnostic Generalized Category Discovery" (NIPS 2023)☆25Updated last year
- Official implementation of Dancing with Still Images: Video Distillation via Static-Dynamic Disentanglement.☆31Updated 10 months ago
- Official PyTorch implementation of "Masked Images Are Counterfactual Samples for Robust Fine-tuning" (CVPR 2023)☆15Updated 2 years ago
- [ICDM 2022] Making Reconstruction-based Method Great Again for Video Anomaly Detection (PyTorch)☆38Updated last year
- [ICCV 2023] Bayesian Prompt Learning for Image-Language Model Generalization☆35Updated last year
- 【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…☆64Updated 5 months ago
- Distribution-Aware Prompt Tuning for Vision-Language Models (ICCV 2023)☆40Updated last year
- The official github repo for "Test-Time Training with Masked Autoencoders"☆83Updated last year
- Code for ICLR 2024 paper "Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection"☆16Updated last year
- Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment, arXiv 2024 / CVPR 2025☆29Updated 3 months ago
- Pytorch implementation of TDPM☆34Updated 2 years ago
- [ICCV 2023] Generative Prompt Model for Weakly Supervised Object Localization☆57Updated last year
- Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders☆58Updated last year
- ☆42Updated last year
- ☆18Updated last year
- [ICLR 2023] Masked Frequency Modeling for Self-Supervised Visual Pre-Training☆76Updated 2 years ago
- ☆53Updated 2 years ago
- CCD: Official PyTorch implementation of the paper "Contextual Debiasing for Visual Recognition with Causal Mechanisms"☆16Updated 2 years ago
- ☆22Updated 2 years ago
- ☆111Updated last year
- LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images☆32Updated last year
- [NeurIPS 2023] Discover and Align Taxonomic Context Priors for Open-world Semi-Supervised Learning☆16Updated last year
- [NeurIPS 2023] Generalized Logit Adjustment☆38Updated last year
- Code for our ICML'24 on multimodal dataset distillation☆37Updated 8 months ago
- [AAAI2023] Symbolic Replay: Scene Graph as Prompt for Continual Learning on VQA Task (Oral)☆39Updated last year