Search Results for author:
Found 7 papers, 2 papers with code
Enhancing Vision-Language Pre-training with Rich Supervisions
We propose Strongly Supervised pre-training with ScreenShots (S4) - a novel pre-training paradigm for Vision-Language Models using data from large-scale web screenshot rendering.
Question Aware Vision Transformer for Multimodal Reasoning
This integration results in dynamic visual features focusing on relevant image aspects to the posed question.
CLIPTER: Looking at the Bigger Picture in Scene Text Recognition
Reading text in real-world scenarios often requires understanding the context surrounding it, especially when dealing with poor-quality text.
Towards Models that Can See and Read
Visual Question Answering (VQA) and Image Captioning (CAP), which are among the most popular vision-language tasks, have analogous scene-text versions that require reasoning from the text in the image.
Out-of-Vocabulary Challenge Report
This paper presents final results of the Out-Of-Vocabulary 2022 (OOV) challenge.
Optical Character Recognition
Optical Character Recognition (OCR)
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TextAdaIN: Paying Attention to Shortcut Learning in Text Recognizers
However in some cases, their decisions are based on unintended information leading to high performance on standard benchmarks but also to a lack of generalization to challenging testing conditions and unintuitive failures.
Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image Classification
In the setting of robustness, our method improves on both ImageNet-C and Cifar-100-C for multiple architectures.
