Search Results for author: Akshita Gupta

Found 7 papers, 5 papers with code

OW-DETR: Open-world Detection Transformer

2 code implementations2 Dec 2021 Akshita Gupta, Sanath Narayan, K J Joseph, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah

In the case of incremental object detection, OW-DETR outperforms the state-of-the-art for all settings on PASCAL VOC.

Open World Object Detection Transfer Learning

Discriminative Region-based Multi-Label Zero-Shot Learning

1 code implementation ICCV 2021 Sanath Narayan, Akshita Gupta, Salman Khan, Fahad Shahbaz Khan, Ling Shao, Mubarak Shah

We note that the best existing multi-label ZSL method takes a shared approach towards attending to region features with a common set of attention maps for all the classes.

Image Retrieval Multi-label zero-shot learning

Safety Verification of Model Based Reinforcement Learning Controllers

no code implementations21 Oct 2020 Akshita Gupta, Inseok Hwang

The proposed frame-work can efficiently handle models and controllers which are represented using neural networks.

Autonomous Driving Frame +2

Safety-guaranteed Reinforcement Learning based on Multi-class Support Vector Machine

no code implementations12 Jun 2020 Kwangyeon Kim, Akshita Gupta, Hong-Cheol Choi, Inseok Hwang

The proposed algorithm is developed for the discrete state and action space and utilizes a multi-class support vector machine (SVM) to represent the policy.

Q-Learning reinforcement-learning

iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images

3 code implementations30 May 2019 Syed Waqas Zamir, Aditya Arora, Akshita Gupta, Salman Khan, Guolei Sun, Fahad Shahbaz Khan, Fan Zhu, Ling Shao, Gui-Song Xia, Xiang Bai

Compared to existing small-scale aerial image based instance segmentation datasets, iSAID contains 15$\times$ the number of object categories and 5$\times$ the number of instances.

Instance Segmentation Object Detection +1

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