https://www.programmersought.com/article/60001511310/ Focal loss implementations #tutorial
Programmersought
Several implementation versions of focal loss (Keras/Tensorflow) - Programmer Sought
Several implementation versions of focal loss (Keras/Tensorflow), Programmer Sought, the best programmer technical posts sharing site.
Dino/Dino v2 explained: Self-distillation with no labels & etc. #FYI #Tips #Explained #Tutorial
1. https://medium.com/@anuj.dutt9/emerging-properties-in-self-supervised-vision-transformers-dino-paper-summary-4c7a6ed68161 Original Dino
2. https://encord.com/blog/dinov2-self-supervised-learning-explained/
3. https://www.picsellia.com/post/dinov2-steps-by-steps-explanations-picsellia
4. https://www.ai-bites.net/dino-v2-learning-robust-visual-features-without-supervision-model-explained/
5. https://blog.marvik.ai/2023/05/16/dinov2-exploring-self-supervised-vision-transformers/
Original papers:
1. https://arxiv.org/abs/2104.14294 Emerging Properties in Self-Supervised Vision Transformers (Dino)
2. https://arxiv.org/abs/2304.07193 DINOv2: Learning Robust Visual Features without Supervision
3. https://arxiv.org/abs/2309.16588 Vision Transformers Need Registers
1. https://medium.com/@anuj.dutt9/emerging-properties-in-self-supervised-vision-transformers-dino-paper-summary-4c7a6ed68161 Original Dino
2. https://encord.com/blog/dinov2-self-supervised-learning-explained/
3. https://www.picsellia.com/post/dinov2-steps-by-steps-explanations-picsellia
4. https://www.ai-bites.net/dino-v2-learning-robust-visual-features-without-supervision-model-explained/
5. https://blog.marvik.ai/2023/05/16/dinov2-exploring-self-supervised-vision-transformers/
Original papers:
1. https://arxiv.org/abs/2104.14294 Emerging Properties in Self-Supervised Vision Transformers (Dino)
2. https://arxiv.org/abs/2304.07193 DINOv2: Learning Robust Visual Features without Supervision
3. https://arxiv.org/abs/2309.16588 Vision Transformers Need Registers
Medium
Emerging Properties in Self-Supervised Vision Transformers (DINO) — Paper Summary
Hi Everyone! Today, we’ll unravel the complexities of an intriguing approach in the realm of self-supervised learning, delving into a groundbreaking paper titled “Emerging Properties in…