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Found 4 papers, 3 papers with code
NICE: CVPR 2023 Challenge on Zero-shot Image Captioning
In this report, we introduce NICE (New frontiers for zero-shot Image Captioning Evaluation) project and share the results and outcomes of 2023 challenge.
ReConPatch : Contrastive Patch Representation Learning for Industrial Anomaly Detection
In this paper, we introduce ReConPatch, which constructs discriminative features for anomaly detection by training a linear modulation of patch features extracted from the pre-trained model.
Ranked #1 on
Anomaly Detection
on MVTec AD
Large-Scale Bidirectional Training for Zero-Shot Image Captioning
However, we find that large-scale bidirectional training between image and text enables zero-shot image captioning.
L-Verse: Bidirectional Generation Between Image and Text
Unlike other models, BiART can distinguish between image (or text) as a conditional reference and a generation target.
Ranked #1 on
Image Reconstruction
on ImageNet 256x256
