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Found 4 papers, 1 papers with code
SIRST-5K: Exploring Massive Negatives Synthesis with Self-supervised Learning for Robust Infrared Small Target Detection
The quality, quantity, and diversity of the infrared dataset are critical to the detection of small targets.
MirrorDiffusion: Stabilizing Diffusion Process in Zero-shot Image Translation by Prompts Redescription and Beyond
By using a target text prompt for domain adaption, the diffusion model is able to implement zero-shot image-to-image translation advantageously.
ReGeneration Learning of Diffusion Models with Rich Prompts for Zero-Shot Image Translation
To ensure consistent preservation of the shape during image editing, we propose cross-attention guidance based on regeneration learning.
Exploring Negatives in Contrastive Learning for Unpaired Image-to-Image Translation
Recently, contrastive learning (CL) has been used to further investigate the image correspondence in unpaired image translation by using patch-based positive/negative learning.
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