
Nehal Doiphode
9 posts

Nehal Doiphode
@NehalD_99
CIS PhD @Penn Computer Vision. Also, Alice in Wonderland. Previously @IITBombay


I'm very excited to announce our #CVPR2023 ✨highlight✨ paper "Beyond mAP: Towards better evaluation of instance segmentation" Project page: jenaroh.it/beyond-map/ Arxiv: arxiv.org/abs/2207.01614 Code: github.com/rohitrango/bey… A 🧵 twitter.com/rohitrango/sta…

Excited that our paper has been accepted at #CVPR2023 with three 5/5 reviews. So what did we do? New SOTA in some task? Quite the opposite, actually. Stay tuned! 😉 (P.S. Also it's my first @CVPR paper so I'm hella excited!!)

You can't "train" a model. The model always exists. It existed before you were born and it exists after your death. You can only find the model. "Training" is just your way of looking for the model's location in the infinite hypothesis space and binding its essence to silicon


