ZhuWenjie98

ZhuWenjie98's Stars

• Daisy-Zhang/Awesome-Deepfakes-Detection

  A list of tools, papers and code related to Deepfake Detection.

  1.2k1620109

• uncbiag/Awesome-Foundation-Models

  A curated list of foundation models for vision and language tasks

  90741240

• tamlhp/awesome-machine-unlearning

  Awesome Machine Unlearning (A Survey of Machine Unlearning)

  Language:Jupyter Notebook784154856

• rohitgandikota/erasing

  Erasing Concepts from Diffusion Models

  Language:Jupyter Notebook56593735

• reasoning-survey/Awesome-Reasoning-Foundation-Models

  ✨✨Latest Papers and Benchmarks in Reasoning with Foundation Models

  4957450

• flyingby/Awesome-Deepfake-Generation-and-Detection

  A Survey on Deepfake Generation and Detection

  38217219

• baaivision/EVE

  [NeurIPS'24 Spotlight] EVE: Encoder-Free Vision-Language Models

  Language:Python2619175

• isXinLiu/Awesome-MLLM-Safety

  Accepted by IJCAI-24 Survey Track

  Language:Python182804

• deeplearning-wisc/large_scale_ood

  MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space

  Language:Python894212

• ZiyuGuo99/CALIP

  [AAAI 2023] Zero-Shot Enhancement of CLIP with Parameter-free Attention

  Language:Python81272

• Liuziyu77/RAR

  The official implementation of RAR

  Language:Python78120

• mrflogs/ICLR24

  Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"

  Language:Python73241

• AtsuMiyai/UPD

  Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models

  Language:Python72414

• kdiAAA/TDA

  [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"

  Language:Python72379

• YBZh/DMN

  CVPR2024: Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models

  Language:Python68324

• MaxZanella/MTA

  [CVPR 2024] Zero-shot method for Vision-Language Models based on a robust formulation of the MeanShift algorithm for Test-time Augmentation (MTA).

  Language:Python45213

• rux001/Awesome-LLM-Anomaly-OOD-Detection

  Large Language Models for Anomaly and Out-of-Distribution Detection

  42202

• vladan-stojnic/ZLaP

  Code for Label Propagation for Zero-shot Classification with Vision-Language Models (CVPR2024)

  Language:Jupyter Notebook36233

• virajprabhu/LANCE

  LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images

  Language:Jupyter Notebook28642

• Visual-AI/SPTNet

  The official repository for ICLR2024 paper "SPTNet: An Efficient Alternative Framework for Generalized Category Discovery with Spatial Prompt Tuning"

  Language:Python27291

• ycfate/ID-like

  ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection

  Language:Python22222

• YBZh/LAPT

  ECCV2024, LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language Models

  16100

• brown-palm/Concept-Discovery-and-Learning

  The code for the paper "Pre-trained Vision-Language Models Learn Discoverable Concepts"

  Language:Python12100

• JinhaoLee/WCA

  [ICML 2024] Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models

  Language:Python12233

• lapisrocks/DiscreteAdversarialDistillation

  [NeurIPS 2023] Official repository for "Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models"

  Language:Python12210

• tmlr-group/DAL

  [NeurIPS 2023] "Learning to Augment Distributions for Out-of-distribution Detection"

  Language:Python12320

• tmlr-group/EOE

  [ICML 2024] "Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection"

  Language:Python12000

• iCGY96/awesome_concept_learning_list

  A curated list of papers & resources linked to concept learning

  10100

• NMS05/Improving-Concept-Alignment-in-Vision-Language-Concept-Bottleneck-Models

  Language:Python10101

• Chris210634/word_soups

  Language:Python8101