Video Foundation Models & Data for Multimodal Understanding
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Updated
May 21, 2024 - Python
Video Foundation Models & Data for Multimodal Understanding
Fooling Machine Learning Models: A Novel Out-of-Distribution Attack through Generative Adversarial Networks
Benchmarking Generalized Out-of-Distribution Detection
👽 Out-of-Distribution Detection with PyTorch
PyTorch implementation of our CVPR 2024 paper "Unified Entropy Optimization for Open-Set Test-Time Adaptation"
A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition
VLG: General Video Recognition with Web Textual Knowledge (https://arxiv.org/abs/2212.01638)
Papers for Open Knowledge Discovery
Code release for Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation (TCSVT 2023)
[CVPR 2022 Oral] Towards Open Set Temporal Action Localization
Official implementation of "Extreme Value Meta-Learning for Few-Shot Open-Set Recognition of Hyperspectral Images" (TGRS'23)
Official code for RbA: Segmenting Unknown Regions Rejected by All (ICCV 2023)
Official PyTorch Repository of "Difficulty-Aware Simulator for Open Set Recognition" (ECCV 2022 Paper)
1st Place Code for FungiCLEF 2023 Competition from UstcAIGroup
Python code for detecting and learning new classes of threats present in crops
[TPAMI 2021] Adversarial Reciprocal Points Learning for Open Set Recognition
Official implementation of KDD'23 paper "Deep Weakly-supervised Anomaly Detection"
[CVPR 2023] Glocal Energy-based Learning for Few-Shot Open-Set Recognition
Official PyTorch implementation for "SIO: Synthetic In-Distribution Data Benefits Out-of-Distribution Detection"
Official Implementation of "MORGAN: Meta-Learning-based Few-Shot Open-Set Recognition via Generative Adversarial Network" (WACV23)
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