Search Results for author: Akshita Gupta

Found 8 papers, 5 papers with code

Multimodality in Online Education: A Comparative Study

no code implementations10 Dec 2023 Praneeta Immadisetty, Pooja Rajesh, Akshita Gupta, Anala M R, Soumya A, K. N. Subramanya

The commencement of the decade brought along with it a grave pandemic and in response the movement of education forums predominantly into the online world.

OW-DETR: Open-world Detection Transformer

2 code implementations CVPR 2022 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.

Inductive Bias Object +3

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

Generative Multi-Label Zero-Shot Learning

1 code implementation27 Jan 2021 Akshita Gupta, Sanath Narayan, Salman Khan, Fahad Shahbaz Khan, Ling Shao, Joost Van de Weijer

Nevertheless, computing reliable attention maps for unseen classes during inference in a multi-label setting is still a challenge.

Attribute Generative Adversarial Network +3

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 Model-based Reinforcement Learning +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 +1

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 +4

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