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09/02/2023
pSTarC: Pseudo Source Guided Target Clustering for Fully Test-Time Adaptation
Test Time Adaptation (TTA) is a pivotal concept in machine learning, ena...
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07/27/2023
Test Time Adaptation for Blind Image Quality Assessment
While the design of blind image quality assessment (IQA) algorithms has ...
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07/05/2023
S3C: Self-Supervised Stochastic Classifiers for Few-Shot Class-Incremental Learning
Few-shot class-incremental learning (FSCIL) aims to learn progressively ...
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04/20/2023
SATA: Source Anchoring and Target Alignment Network for Continual Test Time Adaptation
Adapting a trained model to perform satisfactorily on continually changi...
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11/22/2022
Pred Guide: Labeled Target Class Prediction for Guiding Semi-Supervised Domain Adaptation
Semi-supervised domain adaptation aims to classify data belonging to a t...
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07/21/2022
Novel Class Discovery without Forgetting
Humans possess an innate ability to identify and differentiate instances...
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04/22/2022
Spacing Loss for Discovering Novel Categories
Novel Class Discovery (NCD) is a learning paradigm, where a machine lear...
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12/04/2021
SITA: Single Image Test-time Adaptation
In Test-time Adaptation (TTA), given a model trained on some source data...
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08/18/2021
Universal Cross-Domain Retrieval: Generalizing Across Classes and Domains
In this work, for the first time, we address the problem of universal cr...
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09/14/2020
SML: Semantic Meta-learning for Few-shot Semantic Segmentation
The significant amount of training data required for training Convolutio...
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02/03/2020
A Novel Incremental Cross-Modal Hashing Approach
Cross-modal retrieval deals with retrieving relevant items from one moda...
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10/13/2019
What happens when self-supervision meets Noisy Labels?
The major driving force behind the immense success of deep learning mode...
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05/27/2019
Label Prediction Framework for Semi-Supervised Cross-Modal Retrieval
Cross-modal data matching refers to retrieval of data from one modality,...
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05/11/2019
Segregation Network for Multi-Class Novelty Detection
The problem of multiple class novelty detection is gaining increasing im...
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05/11/2019
Unified Generator-Classifier for Efficient Zero-Shot Learning
Generative models have achieved state-of-the-art performance for the zer...
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12/04/2018
A Deep Learning Framework for Semi-Supervised Cross-Modal Retrieval with Label Prediction
Due to abundance of data from multiple modalities, cross-modal retrieval...
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03/08/2018
Preserving Semantic Relations for Zero-Shot Learning
Zero-shot learning has gained popularity due to its potential to scale r...
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11/01/2016
Sliding Dictionary Based Sparse Representation For Action Recognition
The task of action recognition has been in the forefront of research, gi...
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09/22/2014
