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Thank you for your great work; I appreciate it!
I want to use the new version of Llava (Specifically, llama3-llava-next-8b, which you can download checkpoint here: https://huggingface.co/lmms-lab/l…
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- [ ] [awesome-reasoning/README.md at master · neurallambda/awesome-reasoning](https://github.com/neurallambda/awesome-reasoning/blob/master/README.md?plain=1)
# awesome-reasoning
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1. Prompt Engineering
a. Zero-shot learning
Few-shot learning
Select appropriate key wors
Do not change weights
2. Fine-tuning
a. Instruction-based
b. Domain based
Change the …
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Can you apply some of the concepts of siamese networks, one shot learning, few shot learning, matching networks to reduce the number of images required for training.
children can learn new objects …
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**Scale name**
All Scales with digital display
There is a nice paper on reading any digital display with a smart phone using one shot learning
[Real-time screen reading: reducing domainshift for…
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I'm trying to replicate the DINOv2 experiment from this table:
However, I had some q…
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# Face recognition
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# Face verification vs. face recognition
## Verification (Binary Classification)
- Input image, name/ID
- Output whether the input image is that of the claimed person
## R…
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I have recently stumbled upon this very interesting computer vision article about recognizing species of insects which can be hard to identify. Maybe you will find there some ideas for further improvi…
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https://arxiv.org/abs/1603.05106
Humans have an impressive ability to reason about new concepts and experiences from just a single example. In particular, humans have an ability for one-shot genera…
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@WangYueFt @HobbitLong I was curious, why did you implement your own resnets instead of using the ones already available in pytorch? is there anything bad about those for meta-learning/few-shot learn…