Jianglin954 / Awesome-papers-in-the-fileds-of-CV-ML-PR-DM
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 3 months ago
Related projects ⓘ
Alternatives and complementary repositories for Awesome-papers-in-the-fileds-of-CV-ML-PR-DM
- [NeurIPS 2023] Latent Graph Inference with Limited Supervision☆13Updated 9 months ago
- Official implementation for 'Class-Balancing Diffusion Models'☆46Updated 6 months ago
- [ICDM 2022] Making Reconstruction-based Method Great Again for Video Anomaly Detection (PyTorch)☆35Updated 7 months ago
- [CIKM 2022] Self-supervision Meets Adversarial Perturbation: A Novel Framework for Anomaly Detection (PyTorch)☆31Updated last year
- Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"☆71Updated 11 months ago
- source code for ICLR'23 paper "Non-parametric Outlier Synthesis"☆53Updated last year
- The official github repo for "Test-Time Training with Masked Autoencoders"☆78Updated last year
- Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders☆55Updated last year
- Official code for NeurIPS 2024 paper "Happy: A Debiased Learning Framework for Continual Generalized Category Discovery"☆15Updated last month
- Pytorch implementation of TDPM☆31Updated last year
- Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting☆106Updated last year
- Diffusion-TTA improves pre-trained discriminative models such as image classifiers or segmentors using pre-trained generative models.☆57Updated 7 months ago
- The official codes of our CVPR-2023 paper: Sharpness-Aware Gradient Matching for Domain Generalization☆67Updated last year
- CCD： Official PyTorch implementation of the paper "Contextual Debiasing for Visual Recognition with Causal Mechanisms"☆16Updated last year
- ☆41Updated last year
- 【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning☆56Updated 3 months ago
- [NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆59Updated 2 years ago
- Official code for "Complementary Experts for Long-tailed Semi-Supervised Learning" (AAAI'2024)☆19Updated 8 months ago
- Official Implementation of LADS (Latent Augmentation using Domain descriptionS)☆49Updated last year
- ☆101Updated 8 months ago
- [NeurIPS 2023] Generalized Logit Adjustment☆34Updated 7 months ago
- CVPR 2022 paper☆16Updated 2 years ago
- The efficient tuning method for VLMs☆76Updated 8 months ago
- This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…☆93Updated 2 years ago
- Is synthetic data from generative models ready for image recognition?☆176Updated last year
- source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"☆61Updated 3 weeks ago
- Uni-OVSeg is a weakly supervised open-vocabulary segmentation framework that leverages unpaired mask-text pairs.☆50Updated 5 months ago
- ☆50Updated 2 years ago
- [ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models☆146Updated 11 months ago
- LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images☆28Updated 11 months ago