Search Results for author:
Found 9 papers, 7 papers with code
SkyScenes: A Synthetic Dataset for Aerial Scene Understanding
Real-world aerial scene understanding is limited by a lack of datasets that contain densely annotated images curated under a diverse set of conditions.
LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration
To address this challenge, we propose a novel approach for distribution-aware latent augmentation that leverages the relationships across samples to guide the augmentation procedure.
Continual VQA for Disaster Response Systems
Thus, we instead use pre-trained embeddings of text and image from this model for our supervised training and surpass previous state-of-the-art results on the FloodNet dataset.
An Efficient Modern Baseline for FloodNet VQA
Designing efficient and reliable VQA systems remains a challenging problem, more so in the case of disaster management and response systems.
Transformer based ensemble for emotion detection
Detecting emotions in languages is important to accomplish a complete interaction between humans and machines.
A Studious Approach to Semi-Supervised Learning
This paper is an ablation study of distillation in a semi-supervised setting, which not just reduces the number of parameters of the model but can achieve this while improving the performance over the baseline supervised model and making it better at generalizing.
XCI-Sketch: Extraction of Color Information from Images for Generation of Colored Outlines and Sketches
Sketches are a medium to convey a visual scene from an individual's creative perspective.
Semi-Supervised Classification and Segmentation on High Resolution Aerial Images
FloodNet is a high-resolution image dataset acquired by a small UAV platform, DJI Mavic Pro quadcopters, after Hurricane Harvey.
BERT based Transformers lead the way in Extraction of Health Information from Social Media
This paper describes our submissions for the Social Media Mining for Health (SMM4H)2021 shared tasks.
