no code implementations • 16 Feb 2023 • Shubhika Garg, Ben Feinstein, Shahar Timnat, Vishal Batchu, Gideon Dror, Adi Gerzi Rosenthal, Varun Gulshan
Unlike the conventional self distillation setup, we propose a cross modal distillation framework that transfers supervision from a teacher trained on richer modality (multi-spectral images) to a student model trained on SAR imagery.
1 code implementation • 19 Jun 2021 • Vidit Goel, Jiachen Li, Shubhika Garg, Harsh Maheshwari, Humphrey Shi
Our method improves the masks from segmentation and propagation branches in an online manner using the Mask Selection Network (MSN) hence limiting the noise accumulation during mask tracking.
Ranked #26 on Video Instance Segmentation on YouTube-VIS validation
1 code implementation • 5 Jan 2021 • Shubhika Garg, Vidit Goel
We efficiently handle problems present in existing methods such as drift while temporal propagation, tracking and addition of new objects.
3 code implementations • 19 Feb 2020 • Kaustubh Mani, Swapnil Daga, Shubhika Garg, N. Sai Shankar, Krishna Murthy Jatavallabhula, K. Madhava Krishna
We dub this problem amodal scene layout estimation, which involves "hallucinating" scene layout for even parts of the world that are occluded in the image.