Raghul AsokanNeural Networks Intuitions: 17. BLIP series — BLIP, BLIP-2 and Instruct BLIP— Papers ExplanationBLIP Series13 min read·Aug 2, 2023----
Raghul AsokanNeural Networks Intuitions: 16. Segment Anything(SAM) — Paper ExplanationSAM7 min read·Apr 8, 2023--1--1
Raghul AsokanNeural Networks Intuitions: 15. ASH — Paper Explanation(OOD Detection Part 2)ASH for OOD Detection5 min read·Nov 13, 2022----
Raghul AsokanNeural Networks Intuitions: 14. Active LearningDeep Active Learning7 min read·Jul 24, 2022----
Raghul AsokanNeural Networks Intuitions: 13.Out-of-Distribution Detection and HOD Loss — Paper ExplanationOOD Detection12 min read·Mar 15, 2022----
Raghul AsokanBasics of Computer Vision: 1. Interpolation and ResizingImage Resizing9 min read·Nov 28, 2021--1--1
Raghul AsokanNeural Networks Intuitions: 12. Self-Training and MuSTMulti-Task Self-Training for Learning General Representations4 min read·Oct 3, 2021----
Raghul AsokanNeural Networks Intuitions: 11. Contrastive Language-Image Pretraining(CLIP)CLIP5 min read·Apr 17, 2021----
Raghul AsokaninThe StartupNeural Networks Intuitions: 10. BYOL- Paper ExplanationBYOL7 min read·Nov 9, 2020----
Raghul AsokaninTowards Data ScienceNeural Networks Intuitions: 9. Distance Metric LearningDistance Metric Learning6 min read·Aug 18, 2020--1--1