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)
AirObject: A Temporally Evolving Graph Embedding for Object Identification (CVPR 2022)
Official code for CVPR 2024 paper "Active 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
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"
Official PyTorch implementation of the ACM Multimedia 2024 paper “Improving Out-of-distribution Detection with Disentangled Foreground and Background Features”
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