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Found 9 papers, 4 papers with code
PV-S3: Advancing Automatic Photovoltaic Defect Detection using Semi-Supervised Semantic Segmentation of Electroluminescence Images
We propose PV-S3 (Photovoltaic-Semi Supervised Segmentation), a Semi-Supervised Learning approach for semantic segmentation of defects in EL images that reduces reliance on extensive labeling.
The Common Stability Mechanism behind most Self-Supervised Learning Approaches
Last couple of years have witnessed a tremendous progress in self-supervised learning (SSL), the success of which can be attributed to the introduction of useful inductive biases in the learning process to learn meaningful visual representations while avoiding collapse.
Weakly Supervised Detection of Pheochromocytomas and Paragangliomas in CT
Pheochromocytomas and Paragangliomas (PPGLs) are rare adrenal and extra-adrenal tumors which have the potential to metastasize.
Barlow constrained optimization for Visual Question Answering
In this paper, we propose a novel regularization for VQA models, Constrained Optimization using Barlow's theory (COB), that improves the information content of the joint space by minimizing the redundancy.
Exploring Low-Cost Transformer Model Compression for Large-Scale Commercial Reply Suggestions
Fine-tuning pre-trained language models improves the quality of commercial reply suggestion systems, but at the cost of unsustainable training times.
Glimpse-Attend-and-Explore: Self-Attention for Active Visual Exploration
In this paper, we propose the Glimpse-Attend-and-Explore model which: (a) employs self-attention to guide the visual exploration instead of task-specific uncertainty maps; (b) can be used for both dense and sparse prediction tasks; and (c) uses a contrastive stream to further improve the representations learned.
Towards Automatic Face-to-Face Translation
As today's digital communication becomes increasingly visual, we argue that there is a need for systems that can automatically translate a video of a person speaking in language A into a target language B with realistic lip synchronization.
Ranked #1 on
Talking Face Generation
on LRW
(using extra training data)
Assigning people to tasks identified in email: The EPA dataset for addressee tagging for detected task intent
We describe the Enron People Assignment (EPA) dataset, in which tasks that are described in emails are associated with the person(s) responsible for carrying out these tasks.
Offline Extraction of Indic Regional Language from Natural Scene Image using Text Segmentation and Deep Convolutional Sequence
Regional language extraction from a natural scene image is always a challenging proposition due to its dependence on the text information extracted from Image.
