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05/31/2023
Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models
Vision and Language (VL) models offer an effective method for aligning r...
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03/30/2023
Going Beyond Nouns With Vision Language Models Using Synthetic Data
Large-scale pre-trained Vision Language (VL) models have shown remar...
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11/23/2022
CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning
Computer vision models suffer from a phenomenon known as catastrophic fo...
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11/22/2022
On the Transferability of Visual Features in Generalized Zero-Shot Learning
Generalized Zero-Shot Learning (GZSL) aims to train a classifier that ca...
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11/17/2022
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning
Recently, large-scale pre-trained Vision-and-Language (VL) foundation mo...
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03/31/2022
SimVQA: Exploring Simulated Environments for Visual Question Answering
Existing work on VQA explores data augmentation to achieve better genera...
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06/16/2021
Evolving Image Compositions for Feature Representation Learning
Convolutional neural networks for visual recognition require large amoun...
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01/16/2020
Curriculum Labeling: Self-paced Pseudo-Labeling for Semi-Supervised Learning
Semi-supervised learning aims to take advantage of a large amount of unl...
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11/10/2019
Drill-down: Interactive Retrieval of Complex Scenes using Natural Language Queries
This paper explores the task of interactive image retrieval using natura...
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08/08/2019
