Abstract: Anomaly detection (AD) identifies outliers for applications like defect and lesion detection. While CLIP shows promise for zero-shot AD tasks due to its strong generalization capabilities, ...
Abstract: Contrastive Language-Image Pre-training (CLIP) is attracting increasing attention for its impressive zero-shot recognition performance on different down-stream tasks. However, training CLIP ...
CLIP-LIT trained using only hundreds of unpaired images yields favorable results on unseen backlit images captured in various scenarios. 📖 For more visual results, go checkout our project page.
This is the official repository for our paper: CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks published at ICLR 2023. Update 6/5/23: We have conducted a ...
Posts from this topic will be added to your daily email digest and your homepage feed. is a senior reviewer covering TVs and audio. He has over 20 years experience in AV, and has previously been on ...
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