Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]
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Updated
Jul 6, 2024 - Python
Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]
Papers for Open Knowledge Discovery
Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates
(ICCV 2023) Parametric Classification for Generalized Category Discovery: A Baseline Study
Code for Paper: Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data
Deep Unknown Intent Detection with Margin Loss (ACL2019)
"OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah (ECCV 2022)
Official code for CVPR 2024 paper "Active Generalized Category Discovery"
AirObject: A Temporally Evolving Graph Embedding for Object Identification (CVPR 2022)
Official code for NeurIPS 2024 paper "Happy: A Debiased Learning Framework for Continual Generalized Category Discovery"
OpenWGL: Open-World Graph Learning, ICDM-2020
A simple yet effective post-processing method for detecting unknown intent in dialogue systems based on pre-trained deep neural network classifiers
Official PyTorch implementation of the ACM Multimedia 2024 paper “Improving Out-of-distribution Detection with Disentangled Foreground and Background Features”
Python code for detecting and learning new classes of threats present in crops
Source code of PRJ paper "Learning Adversarial Semantic Embeddings for Zero-Shot Recognition in Open Worlds"
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