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07/21/2023
Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image Segmentation
Medical imaging has witnessed remarkable progress but usually requires a...
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06/27/2023
CLIPA-v2: Scaling CLIP Training with 81.1 within a $10,000 Budget; An Extra $4,000 Unlocks 81.8
The recent work CLIPA presents an inverse scaling law for CLIP training ...
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05/11/2023
An Inverse Scaling Law for CLIP Training
CLIP, the first foundation model that connects images and text, has enab...
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12/20/2022
Unleashing the Power of Visual Prompting At the Pixel Level
This paper presents a simple and effective visual prompting method for a...
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05/03/2022
In Defense of Image Pre-Training for Spatiotemporal Recognition
Image pre-training, the current de-facto paradigm for a wide range of vi...
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04/21/2022
Fast AdvProp
Adversarial Propagation (AdvProp) is an effective way to improve recogni...
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02/09/2022
Learning to Bootstrap for Combating Label Noise
Deep neural networks are powerful tools for representation learning, but...
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10/15/2021
Pose-guided Generative Adversarial Net for Novel View Action Synthesis
We focus on the problem of novel-view human action synthesis. Given an a...
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06/03/2021
CT-Net: Channel Tensorization Network for Video Classification
3D convolution is powerful for video classification but often computatio...
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06/25/2020
