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Found 2 papers, 2 papers with code
CLIP-VQDiffusion : Langauge Free Training of Text To Image generation using CLIP and vector quantized diffusion model
There has been a significant progress in text conditional image generation models.
Re-Scoring Using Image-Language Similarity for Few-Shot Object Detection
The former adapts CLIP, which performs zero-shot classification, to re-score the classification scores of a detector using image-class similarities, the latter is modified classification loss considering the punishment for fake backgrounds as well as confusing categories on a generalized few-shot object detection dataset.
Ranked #2 on
Few-Shot Object Detection
on MS-COCO (30-shot)
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