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09/12/2023
Beyond Generation: Harnessing Text to Image Models for Object Detection and Segmentation
We propose a new paradigm to automatically generate training data with a...
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05/24/2023
Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models
Instruction-tuned models are trained on crowdsourcing datasets with task...
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12/21/2022
Can NLI Provide Proper Indirect Supervision for Low-resource Biomedical Relation Extraction?
Two key obstacles in biomedical relation extraction (RE) are the scarcit...
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12/15/2022
EM-Paste: EM-guided Cut-Paste with DALL-E Augmentation for Image-level Weakly Supervised Instance Segmentation
We propose EM-PASTE: an Expectation Maximization(EM) guided Cut-Paste co...
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10/11/2022
Self-supervised Model Based on Masked Autoencoders Advance CT Scans Classification
The coronavirus pandemic has been going on since the year 2019, and the ...
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07/22/2022
Neural-Sim: Learning to Generate Training Data with NeRF
Training computer vision models usually requires collecting and labeling...
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06/20/2022
DALL-E for Detection: Language-driven Context Image Synthesis for Object Detection
Object cut-and-paste has become a promising approach to efficiently gene...
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05/04/2022
Unified Semantic Typing with Meaningful Label Inference
Semantic typing aims at classifying tokens or spans of interest in a tex...
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04/18/2021
