IEEE

Learning to detect unseen object classes by between-class attribute transfer

Abstract: We study the problem of object classification when training and test classes are disjoint, i.e. no training examples of the target classes are available. This setup has hardly been studied ...
GitHub

PyCIL: A Python Toolbox for Class-Incremental Learning

Welcome to PyCIL, perhaps the toolbox for class-incremental learning with the most implemented methods. This is the code repository for "PyCIL: A Python Toolbox for Class-Incremental Learning" [paper] ...
GitHub

Class-agnostic Object Detection with Multi-modal Transformer (ECCV 2022)

(Nov 25, 2021) Evaluation code along with pre-trained models & pre-computed predictions is released. evaluation/README.md Abstract: What constitutes an object? This has been a long-standing question ...
IEEE

Scalable multi-class geospatial object detection in high-spatial-resolution remote sensing images

Abstract: In this paper we present a conceptually simple but surprisingly effective multi-class geospatial object detection method based on Collection of Part Detectors (COPD), which can be easily ...